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Auxiliary two-filter particle smoothing for one generalized hidden Markov model Isa Trans. (IF 7.3) Pub Date : 2024-04-12 Yunqi Chen, Zhibin Yan, Xing Zhang
This paper develops two-filter particle smoothing (TFPS) algorithms for the nonlinear fixed-interval smoothing problem of one generalized hidden Markov model (GHMM), where the current observation depends not only on the current state, but also on one-step previous state. Firstly, by Bayesian approach, the two-filter smoothing (TFS) formula for GHMM is established to calculate smoothing densities. In
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Bumpless transfer control for switched impulsive positive systems with [formula omitted]-gain performance Isa Trans. (IF 7.3) Pub Date : 2024-04-12 Jiao Liu, Meng’en Liu, Yao Liu, Can Li
This paper investigates the problem of bumpless transfer control for switched impulsive positive systems with -gain performance. For switched impulsive positive systems, the control bump is brought from both switching behavior and impulsive effects. First, the concept of bumpless transfer performance is proposed by imposing magnitude constraints on the control signal to measure the level of bumpless
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Computationally efficient robust adaptive filtering algorithm based on improved minimum error entropy criterion with fiducial points Isa Trans. (IF 7.3) Pub Date : 2024-04-09 Xinyan Hou, Haiquan Zhao, Xiaoqiang Long, Hing Cheung So
Recently, there has been a strong interest in the minimum error entropy (MEE) criterion derived from information theoretic learning, which is effective in dealing with the multimodal non-Gaussian noise case. However, the kernel function is shift invariant resulting in the MEE criterion being insensitive to the error location. An existing solution is to combine the maximum correntropy (MC) with MEE
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Reliability-based anti-disturbance control for systems with parametric stochastic uncertainty: A probabilistic LMI approach Isa Trans. (IF 7.3) Pub Date : 2024-04-09 Jianchun Zhang, Hao Lu, Jianliang Wang, Jianzhong Qiao, Lei Guo
We propose a reliability-based anti-disturbance control (RADC) method for systems with parametric stochastic uncertainty based on the linear matrix inequality (LMI) and the limit state function. Differing from the existing anti-disturbance control, the parametric stochastic uncertainty is considered in both the concerned system and the exogenous disturbance system. With this consideration, the condition
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Intelligent condition monitoring with CNN and signal enhancement for undersampled signals Isa Trans. (IF 7.3) Pub Date : 2024-04-08 Shangbo Han, Longchao Yao, DaWei Duan, Jian Yang, Weihong Wu, Chunhui Zhao, Chenghang Zheng, Xiang Gao
High-frequency signals like vibration and acoustic emission are crucial for condition monitoring, but their high sampling rates challenge data acquisition, especially for online monitoring. Our research developed a novel method for condition identification in undersampled signals using a modified convolutional neural network integrated with a signal enhancement approach. A frequency-domain filtering
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Verification of initial-and-final-state opacity for unambiguous weighted automata Isa Trans. (IF 7.3) Pub Date : 2024-04-06 Liren Shen, Shaowen Miao, Aiwen Lai, Jan Komenda
Initial-and-final-state opacity (IFO) is a type of opacity that characterizes a system’s ability to prevent the disclosure of information about whether its evolution starts at an initial state and ends at a final state. In this paper, we extend the notion of IFO from the logical automata to the framework of unambiguous weighted automata (UWAs) that do not contain any cycle composed solely of unobservable
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An improved non-singular fast terminal sliding mode control scheme for 5-DOF tower cranes with the unknown payload masses, frictions and wind disturbances Isa Trans. (IF 7.3) Pub Date : 2024-04-05 Chuanjing Hou, Can Liu, Zhi Li, Duchen Zhong
The accurate positioning and swing suppression of tower cranes remain open problems, especially when considering unknown payload masses, frictions and wind disturbances, making the controller design more challenging. Therefore, considering the factors, without linearization to 5-DOF tower crane dynamics, an improved non-singular fast terminal sliding mode control (INFTSMC) scheme is proposed, which
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Modeling and optimization of a novel multi-DOF electromagnetic driven spherical motion generator Isa Trans. (IF 7.3) Pub Date : 2024-04-04 Jingmeng Liu, Weihai Chen, Xiaofeng Guo, Fangliang Liu
This paper introduces a new spherical motion generator and presents a method for modeling its magnetic field and analyzing its moments. The generator employs an electromagnetic drive of a spherical motor as its driving method and utilizes a spherical parallel manipulator to execute the spherical motion. The combination of these two technologies offers several advantages, including a large workspace
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Resilient exponential tracking for disturbed systems with communication links faults Isa Trans. (IF 7.3) Pub Date : 2024-04-02 Xinxiao Liu, Chuanjiang Li, Dongyu Li
Resilience is to appraise the ability of disturbed systems to recover cooperative performance after suffering from failures or disturbances. In this paper, the improvement on the exponential tracking resilience for disturbed Euler–Lagrange systems is explored by settling the unknown time-variant faults imposed on the communication interaction between agents. First, we transform the resilient exponential
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Controllability on impulsive systems with delays in both input and impulse and its applications to multi-agent networks Isa Trans. (IF 7.3) Pub Date : 2024-04-01 Jiayuan Yan, Bin Hu, Zhi-Hong Guan
This paper investigates the controllability of impulsive systems with input delay and impulse delay and its applications in multi-agent networks. We adopt the geometric and algebraic analytical tools to establish some easily verified controllability conditions for the considered system model. First, the analytic solution of the considered system is established on every impulsive interval by using ordinary
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Switching-like event-triggered control of uncertain NCSs under delay distribution and DoS attacks Isa Trans. (IF 7.3) Pub Date : 2024-04-01 Minxia Xie, Xiuxia Yin
The paper addresses the switching-like event-triggered control for uncertain networked control systems with time-varying delay under DoS attacks. First of all, to reduce the communication burden, a switching-like event-triggered mechanism is designed to automatically select the trigger condition according to whether the system is under DoS attacks, which have the advantage of reducing the number of
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Adaptive fuzzy tracking control for a class of time-varying output constrained nonlinear systems with non-affine nonlinear faults Isa Trans. (IF 7.3) Pub Date : 2024-03-30 Mengru Liu, Weihai Zhang
This paper investigates a tracking control issue for a class of time-varying output constrained nonlinear systems subject to non-affine nonlinear faults and virtual control coefficients. In the controller design process, the nonlinear function is approximated by fuzzy logic systems. Utilizing a feasible function to convert the system, a new transformation strategy is proposed to handle the system with
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TRA-ACGAN: A motor bearing fault diagnosis model based on an auxiliary classifier generative adversarial network and transformer network Isa Trans. (IF 7.3) Pub Date : 2024-03-30 Zhaoyang Fu, Zheng Liu, Shuangrui Ping, Weilin Li, Jinglin Liu
Motor bearing fault diagnosis is essential to guarantee production efficiency and avoid catastrophic accidents. Deep learning-based methods have been developed and widely used for fault diagnosis, and these methods have proven to be very effective in accurately diagnosing bearing faults. In this paper, study the application of generative adversarial networks (GANs) in motor bearing fault diagnosis
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Model-free adaptive task-space sliding mode control of a Delta robot using a novel reaching law Isa Trans. (IF 7.3) Pub Date : 2024-03-30 Alireza Fateh, Hamidreza Momeni
This paper presents a model-free adaptive sliding mode control for the Delta robot with a novel reaching law for achieving a less conservative sign-function gain and protecting the Delta robot against overloads. A desired closed-loop system with asymptotic stability based on the Lyapunov theorem is proposed to derive the control law. The proposed control system can overcome uncertainties without prior
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A gradient aligned domain adversarial network for unsupervised intelligent fault diagnosis of gearboxes Isa Trans. (IF 7.3) Pub Date : 2024-03-29 Maoqi Ran, Baoping Tang, Peng Sun, Qikang Li, Tielin Shi
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Command filter-based event-triggered control for stochastic MEMS gyroscopes with finite-time prescribed performance Isa Trans. (IF 7.3) Pub Date : 2024-03-28 Yu Xia, Chengguo Liu, Yaoyao Tuo, Junyang Li
This paper proposes an adaptive neural control strategy for stochastic microelectromechanical system (MEMS) gyroscopes, aiming to achieve a prescribed performance in a finite time. The radial basis function neural network is introduced to address the system’s unknown nonlinear dynamics and stochastic disturbances. Then, the technology of finite-time prescribed performance function, along with the method
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Efficiency enhancement of high-power interleaved DC–DC converter by using an improved phase shedding control with phase equivalent resistance Isa Trans. (IF 7.3) Pub Date : 2024-03-28 Guttula Yedukondalu, Susovon Samanta
DC–DC converters generally maintain poor efficiency when operating at light to medium loads. This is primarily due to the fact that switching losses outweigh conduction losses significantly, while core losses remain constant regardless of the load conditions. In the case of the interleaved boost converter (IBC), this efficiency deterioration increases more than the conventional boost converter (CBC)
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Observer-based finite-time control for trajectory tracking of wheeled mobile robots with kinematic disturbances Isa Trans. (IF 7.3) Pub Date : 2024-03-27 Roger Miranda-Colorado
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Finite-time synchronization of delayed semi-Markov reaction–diffusion systems: An asynchronous boundary control scheme Isa Trans. (IF 7.3) Pub Date : 2024-03-27 Angang Wei, Zhongyuan Yao, Yu Zhang, Kaiming Wang
This paper tries to study the problem of finite-time synchronization for delayed semi-Markov reaction–diffusion systems. Based on the spatial and parametric characteristics of the considered systems, a new asynchronous boundary control scheme is proposed to ensure the finite-time synchronization of the drive and response systems. In the asynchronous boundary control scheme, only an actuator should
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Development of a novel model matching decentralized controller design algorithm and its experimental validation through load frequency controller implementation in restructured power system using TMS320F28379D controlCARD Isa Trans. (IF 7.3) Pub Date : 2024-03-27 Muthukumari S., Kanagalakshmi S., Sunil Kumar T.K.
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Prescribed-time distributed optimization problem with constraints Isa Trans. (IF 7.3) Pub Date : 2024-03-26 Hailong Li, Miaomiao Zhang, Zhongjie Yin, Qi Zhao, Jianxiang Xi, Yuanshi Zheng
In recent years, distributed optimization problem have a wide range of applications in various fields. This paper considers the prescribed-time distributed optimization problem with/without constraints. Firstly, we assume the state of each agent is constrained, and the prescribed-time distributed optimization algorithm with constraints is designed on the basis of gradient projection algorithm and consensus
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Fuzzy-based collective pitch control for wind turbine via deep reinforcement learning Isa Trans. (IF 7.3) Pub Date : 2024-03-26 Abdelhamid Nabeel, Ahmed Lasheen, Abdel Latif Elshafei, Essam Aboul Zahab
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A novel stochastic resonance based deep residual network for fault diagnosis of rolling bearing system Isa Trans. (IF 7.3) Pub Date : 2024-03-25 Xuqun Zhang, Yumei Ma, Zhenkuan Pan, Guodong Wang
Rolling bearings constitute one of the most vital components in mechanical equipment, monitoring and diagnosing the condition of rolling bearings is essential to ensure safe operation. In actual production, the collected fault signals typically contain noise and cannot be accurately identified. In the paper, stochastic resonance (SR) is introduced into a spiking neural network (SNN) as a feature enhancement
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Data-driven control of singularly perturbed hybrid systems with multi-rate sampling Isa Trans. (IF 7.3) Pub Date : 2024-03-23 Yan He, Defu Zhu, Chao Chen, Yang Wang
This paper addresses the exponential stability problem of singularly perturbed hybrid systems with multi-rate sampling. Firstly, a hybrid model is established to describe a class of nonlinear singularly perturbed systems by designing a data-driven mechanism and multi-rate sampling controller. Secondly, a novel error function and several inequalities are proposed to obtain the properties of the error
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Secure output containment of heterogeneous multi-agent systems against hybrid attacks Isa Trans. (IF 7.3) Pub Date : 2024-03-23 Shicheng Huo, Hao Wu, Tiejun Wu, Ya Zhang
In this paper, the secure containment control issue for heterogeneous multi-agent systems subject to hybrid attacks is studied. In the network channels among agents, adversaries launch replay attacks such that the followers can only retrieve the previous information of their neighbors. To characterize the effects of replay attacks, a distributed auxiliary system with heterogeneous time-varying delay
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Advanced direct torque control based on neural tree controllers for induction motor drives Isa Trans. (IF 7.3) Pub Date : 2024-03-22 Oualid Aissa, Abderrahim Reffas, Abdelbasset Krama, Rabah Benkercha, Hicham Talhaoui, Haitham Abu-Rub
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Attack-resilient fault detection for interconnected systems under DoS attack Isa Trans. (IF 7.3) Pub Date : 2024-03-22 Qidong Liu, Yue Long, Tieshan Li, C.L. Philip Chen
In light of the expanding cyber-space applications, the imperative consideration of cyber-attack ramifications on system security is evident. This paper presents a resilient dynamic event-triggered fault detection scheme for a class of nonlinear interconnected systems subjected to denial of service (DoS) attacks. To counteract multifaceted threats, the co-design challenge involving switched-type fault
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Distributed cyber attack detection and physical fault diagnosis for a class of interconnected large-scale systems Isa Trans. (IF 7.3) Pub Date : 2024-03-18 Limei Liang, Shuai Liu, Haotian Xu, Rong Su, Yueyang Li
In this paper we focus on the distributed cyber attack detection and physical fault diagnosis problem for a class of interconnected large-scale systems (ILSSs). In the proposed scheme, apart from node measurement, edge measurement is also used to construct distributed Kalman filter to estimate the state of each subsystem. The gain matrices of Kalman filter are determined by minimizing the covariance
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Neural network-based predefined-time bipartite formation tracking control of uncertain heterogeneous Euler–Lagrange systems in task space Isa Trans. (IF 7.3) Pub Date : 2024-03-16 Xiao-Yu Zhang, Tao Han, Bo Xiao, Huaicheng Yan
The main problem addressed in this paper is the task-space bipartite formation tracking problem of uncertain heterogeneous Euler–Lagrange systems in predefined time. To solve this problem, an effective hierarchical predefined-time control algorithm is designed. This algorithm utilizes a non-singular sliding surface, allowing for the adjustment of the upper bound of the settling time as a flexible parameter
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A novel dual-arm adaptive cooperative control framework for carrying variable loads and active anti-overturning Isa Trans. (IF 7.3) Pub Date : 2024-03-15 Xin Shu, Fenglei Ni, Kang Min, Yechao Liu, Hong Liu
This paper aims to tackle the issue of carrying variable loads and disturbances in an impedance-based dual-arm robot. When robots are engaged in transportation tasks, deviations in trajectory due to changing loads and the risk of objects falling under external disturbances or unstable gripping can lead to mission failure. To address these issues, a novel Dual-Arm Adaptive Cooperative Control Framework
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Collision-free automatic berthing of maritime autonomous surface ships via safety-certified active disturbance rejection control Isa Trans. (IF 7.3) Pub Date : 2024-03-12 Haodong Liu, Zhouhua Peng, Nan Gu, Haoliang Wang, Lu Liu, Dan Wang
This paper addresses the automatic berthing of a maritime autonomous surface ship operating in a confined water environment subject to static obstacles, dynamic obstacles, thruster constraints, and space constraints due to shorelines. A safety-certified active disturbance rejection control (ADRC) method is proposed for achieving the automatic berthing task of an MASS in the presence of model uncertainties
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Model validation and Robust State Feedback control for nonlinear subway traffic networks Isa Trans. (IF 7.3) Pub Date : 2024-03-12 Fatemeh Khosrosereshki, Bijan Moaveni
This paper develops a nonlinear Discrete-Event (DE) model for Intersecting Lines (ILs) of a Subway Network (SN). A class of Monte Carlo (MC) methods based on repeated random values is employed to validate the model. Model validation is performed by generating random values for delay rates and external disturbances. After model validation, a Robust State Feedback (RSF) controller is designed to compensate
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A novel stability criterion and precise control for linear time delay systems based on regional configuration of the poles Isa Trans. (IF 7.3) Pub Date : 2024-03-12 Huasheng Zhang, Yuanen Li, Xiangpeng Xie, Jianwei Xia
This paper presents the concept of region stability and provides criteria for region stability of linear time delay systems, which can reveal the dynamic and steady-state performance of the systems more precisely. Corresponding design schemes for stabilization and tracking control that can accurately control various performance of time delay systems have also been explored. First, in the light of the
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Decentralized stabilization of large-scale linear parameter varying systems Isa Trans. (IF 7.3) Pub Date : 2024-03-12 Maryam Dehghani
In stabilization of a Large-Scale System (LSS), the decentralized nature of the controller is a significant issue, because centralized controllers are difficult and impractical for real-time implementation. The designing procedure for decentralized controllers should guarantee the stability of the overall LSS and at the same time, allow limited information exchange in the LSS. In this paper, a decentralized
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Attitude control of a 3-DoF quadrotor platform using a linear quadratic integral differential game approach Isa Trans. (IF 7.3) Pub Date : 2024-03-07 Ali BaniAsad, Reza Pordal, Alireza Sharifi, Hadi Nobahari
In this study, a linear quadratic integral differential game approach is applied to regulate and track the Euler angles for a quadrotor experimental platform using two players. One produces commands for each channel of the quadrotor and another generates the worst disturbance based on the mini-maximization of a quadratic criterion with integral action. For this purpose, first, the attitude dynamics
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A novel data fusion based intelligent identification approach for working cycle stages of hydraulic excavators Isa Trans. (IF 7.3) Pub Date : 2024-03-06 Haoju Song, Guiqin Li, Xin Xiong, Ming Li, Qiang Qin, Peter Mitrouchev
Accurately identifying the stage of the excavator working cycle is the prerequisite to achieve the staged energy-saving control. However, current identification methods often overlook the influence of hydraulic system latency on identification results and depend on a single model, resulting in poor generalization performance of the identification approaches. Moreover, expert calibration system remains
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Dynamics modeling and path following controller of tractor-trailer-wheeled robots considering wheels slip Isa Trans. (IF 7.3) Pub Date : 2024-03-06 Arsalan Babaei Robat, Keyvan Arezoo, Khalil Alipour, Bahram Tarvirdizadeh
To improve the payload capacity and maneuverability of a Differentially-Driven Wheeled Robot (DDWR), a wheeled vehicle, which is called trailer, is connected to the DDWR. In all of the previous studies of DDWRs with a trailer, the robot wheels are subject to pure rolling constraints. However, when these multibody systems move with high velocities/accelerations, transfer a heavy payload, or travel on
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Prescribed-time containment control of multi-agent systems subject to collision avoidance and connectivity maintenance Isa Trans. (IF 7.3) Pub Date : 2024-03-04 Chengmei Tang, Lianghao Ji, Shasha Yang, Xing Guo, Huaqing Li
In this paper, the problem of prescribed-time containment control for a second-order multiple leader–follower systems (MLFSs) is studied, in where both collision avoidance and connectivity maintenance of the agents are considered. Firstly, an effective exponential potential field function (EAPF) with constraints based on the estimated distance is designed to achieve collision resistance and connectivity
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Fault diagnosis based on counterfactual inference for the batch fermentation process Isa Trans. (IF 7.3) Pub Date : 2024-03-03 Zhong Liu, Xuyang Lou
Fault diagnosis plays a pivotal role in identifying the root causes of a fault. Current fault diagnosis methods encounter the shortcomings being unable to assess the fault amplitude or having low efficiency for batch fermentation process. In order to solve the above problems, this paper proposes a fault detection model named convolutional neural network based on variational autoencoder (CNN-VAE) and
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Switching and non-switching dead-beat sliding mode control with monotonic convergence Isa Trans. (IF 7.3) Pub Date : 2024-03-02 Zhengyang Zhu, Mingxuan Sun, Xianhua Ou, Xiongxiong He
Performance requirements necessitate control designs that assure not only transient response specifications but also steady-state accuracy. Monotonic convergence of the tracking error is crucial for an efficient control design to prevent the performance degradation caused by overshooting. This needs a balanced consideration of both reaching conditions and the monotonic convergence, in the context of
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Event-triggered based predictive iterative learning control with random packet loss compensation for nonlinear networked systems Isa Trans. (IF 7.3) Pub Date : 2024-03-02 Qiongxia Yu, Zhihao Fan, Xuhui Bu, Zhongsheng Hou
In this paper, a novel event-triggered predictive iterative learning control (ET-PILC) method with random packet loss compensation (RPLC) mechanism is proposed for unknown nonlinear networked systems with random packet loss (RPL). First, a new RPLC mechanism is designed by utilizing both the historical and predictive data information to avoid the deterioration of control performance due to RPL. Then
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Impulsive consensus algorithms for vector second-order Lipschitz nonlinear multi-agent systems using only velocity regulation Isa Trans. (IF 7.3) Pub Date : 2024-03-01 Qian Wan, Wu-Hua Chen, Xiaomei Lu
The existing impulsive consensus algorithms for second-order Lipschitz nonlinear multi-agent systems require to apply the impulsive control to both position and velocity vectors at the same time. Such a requirement cannot be met in most of the real-world applications. To overcome the limitations of these impulsive algorithms, two kinds of new second-order impulsive consensus algorithms using only velocity
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Composite adaptive fuzzy bipartite consensus of fractional-order multiagent systems with a switched event-triggered mechanism Isa Trans. (IF 7.3) Pub Date : 2024-03-01 Xingyue Yang, Jinde Cao, Heng Liu, Chengdai Huang, Guangming Xue
This paper focuses on online recorded-data-based composite adaptive fuzzy bipartite consensus control for uncertain fractional-order multiagent systems with interconnected terms and external disturbances by employing a switched-threshold-based event-triggered mechanism (ETM) under the backstepping structure. Fuzzy logic system is used as a universal function approximation to deal with function uncertainties
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Human-like acceleration and deceleration control of a robot astronaut floating in a space station Isa Trans. (IF 7.3) Pub Date : 2024-03-01 Minghui Shen, Xiao Huang, Yan Zhao, Yunlai Wang, Hui Li, Zhihong Jiang
The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving in a space station. Controlling the locomotion of the robot astronaut is very challenging due to the strong nonlinearity of its complex multi-body dynamics in a gravity-free environment. However, after training, humans can move well in space stations by pushing the bulkhead, and the motion mechanism
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Optimization-based adaptive trajectory tracking controller design of self-balanced vehicle with asymptotic prescribed performance Isa Trans. (IF 7.3) Pub Date : 2024-03-01 Chuan Hu, Minhao Liu, Lei Wang, Hui Pang
To handle with the nonlinear external disturbances and unmodeled dynamics of self-balanced vehicle (SBV), a novel adaptive trajectory tracking controller based on asymptotic prescribed performance is proposed. First, a velocity planner based on kinematic is constructed to control the velocity signal to improve the motion stability of SBV. Second, the prescribed performance function (PPF) is designed
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A novel mixed frequency sampling discrete grey model for forecasting hard disk drive failure Isa Trans. (IF 7.3) Pub Date : 2024-02-29 Rongxing Chen, Xinping Xiao, Mingyun Gao, Qi Ding
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A novel output feedback consensus control approach for generic linear multi-agent systems under input saturation over a directed graph topology Isa Trans. (IF 7.3) Pub Date : 2024-02-28 Paghunda Roheela Ali, Muhammad Rehan, Waqas Ahmed, Abdul Basit, Ijaz Ahmed
This paper considers an output feedback consensus control approach for the generic linear multi-agent systems (MASs) under input saturation over a directed graph. A region of stability-based approach has been established for dealing with the input saturation. A conventional Luenberger observer for estimating the states of followers by themselves and an advanced cooperative observer for estimating the
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Adaptive state restricted barrier Lyapunov-based control of a Stewart platform used as ankle-controlled mobilizer Isa Trans. (IF 7.3) Pub Date : 2024-02-28 Sandra Marlene Cobian-Aquino, Jose Eduardo Mendoza-Guerrero, Jorge Danel-Muñoz, Mario André Coronado-Quiel, Alejandro Guarneros-Sandoval, Oscar Eleno Carbajal-Espinosa, Isaac Chairez
In this research project, a closed-chain robotic active ankle orthosis with six degrees of freedom is designed, constructed, numerically valued, instrumented, and experimentally validated. The mechanical arrangement to implement the orthosis corresponds to a six-legged Stewart platform. An adaptive gain control strategy with state constraints based on a state-dependent gains control (that behaves as
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Time-varying gain extended state observer-based adaptive optimal control for disturbed unmanned helicopter Isa Trans. (IF 7.3) Pub Date : 2024-02-28 Kun Yan, Hongtian Chen, Chaobo Chen, Song Gao, Jingliang Sun
In this paper, the robust adaptive optimal tracking control problem is addressed for the disturbed unmanned helicopter based on the time-varying gain extended state observer (TVGESO) and adaptive dynamic programming (ADP) methods. Firstly, a novel TVGESO is developed to tackle the unknown disturbance, which can overcome the drawback of initial peaking phenomenon in the traditional linear ESO method
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Distributed Discrete-time Exponential Sliding Mode Consensus Protocol for Discrete Multi-Agent System Comprise of Multiple Robotic Arms Isa Trans. (IF 7.3) Pub Date : 2024-02-27 Nikita Joshi, Axaykumar Mehta
In this paper, a Distributed Discrete-time Exponential Sliding Mode Consensus (DDESMC) protocol is proposed for the leader-follower consensus of a Discrete Multi-Agent System (DMAS). The proposed protocol ensures not only the minimal consensus effort and reaching time for the consensus among the agents but also the minimum consensus deviation in the order of . The consensus stability of DMAS with the
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Sawtooth-characteristic-based free matrix integral inequality and its application to sampled-data systems Isa Trans. (IF 7.3) Pub Date : 2024-02-27 Ying Zhang, Yong He, Xing-Chen Shangguan
The focus of this article is to present a sawtooth-characteristic-based free-matrix integral inequality and to discuss its application to sampled-data systems (SDSs). Firstly, the free matrix, which is associated with the sawtooth characteristic of the input delay, is presented and incorporated into the integral inequality. In the development of inequality techniques, this is the first time that a
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Asymptotical tracking control for the complex network based on the dynamic topology Isa Trans. (IF 7.3) Pub Date : 2024-02-27 Juanxia Zhao, Yinhe Wang, Peitao Gao, Yi Peng, Shengping Li
A tracking control scheme is proposed for complex dynamic network (CDN), where the CDN is regarded wholly as a dynamic composite system which consists of two mutually coupled subsystems. One subsystem consists of all nodes and the other consists of all links, and consider the weights of the links to be state variables in the latter subsystem. There are two parts in the structure of the proposed tracking
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Consensus-based secondary control for DC microgrids with communication delays via a networked predictive control strategy Isa Trans. (IF 7.3) Pub Date : 2024-02-27 Xiaoran Dai, Guo-Ping Liu, Wenshan Hu, Qijun Deng
In today’s cyber–physical microgrid systems, the consensus-based secondary control is generally utilized to settle the voltage deviation and rough current allocation issues at the primary control level. However, time delays follow inevitably the introduction of sparse communication networks, and most existing works adopt passive tolerance approaches. To actively alleviate the unavoidable delay effect
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Predefined-time position tracking optimization control with prescribed performance of the induction motor based on observers Isa Trans. (IF 7.3) Pub Date : 2024-02-26 Le Liu, Peng Liu, Zhaopeng Teng, Lei Zhang, Yiming Fang
To solve the position control problem of the induction motor with parameter perturbations, load disturbances, and modeling errors, a predefined-time position tracking optimization control method with prescribed performance is proposed. In practice, the rotor flux linkage of the induction motor can't be measured, and a predefined-time sliding mode observer (PTSMO) is applied to accurately estimate it
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Observer-based adaptive control for slung payload stabilization with a fully-actuated multirotor UAV Isa Trans. (IF 7.3) Pub Date : 2024-02-26 Jorge M. Arizaga, Armando Miranda-Moya, Herman Castañeda, Pedro Castillo
This article presents an observer-based adaptive sliding mode controller for a fully-actuated hexacopter unmanned aerial vehicle, designed for trajectory tracking in a perturbed environment while carrying a cable-suspended payload. Based on the unavailability of a payload swing sensor, an extended high-gain observer is designed to provide full-state and disturbance estimation including payload motion
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Distributed global output-feedback formation control without velocity measurement for multiple unmanned surface vehicles Isa Trans. (IF 7.3) Pub Date : 2024-02-26 Lei Zhang, Yuxin Zheng, Ziyang Huang, Bing Huang, Yumin Su
This article studies the distributed formation control problem for multiple unmanned surface vehicles (USVs) considering uncertain coefficient matrixes, unmeasurable velocities, and time-varying disturbances. The main contributions are as follows: First, a global coordinate translation is proposed to partially linearize the nonlinear dynamic model equipped with the unmeasurable velocity. Second, based
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Distributed finite-time bearing-based formation control for underactuated surface vessels with Levant differentiator Isa Trans. (IF 7.3) Pub Date : 2024-02-26 Hua Peng, Bing Huang, Minjie Jin, Cheng Zhu, Jiayuan Zhuang
In this paper, a distributed bearing-based formation control scheme with finite-time convergency is proposed for multiple underactuated surface vessels (USVs). By virtue of the guide point-based model transformation method, the dimension of underactuated tracking error dynamics can be reduced from three to two. This allows us to convert the actuator model to a fully form that matches dimension-reduced
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Tracking scheme of airborne star tracker based on event-triggered sliding mode control with known input delay Isa Trans. (IF 7.3) Pub Date : 2024-02-25 Tianji Cheng, Zhiwen Liu, Shengjie Wei, Ranjun Wang, Enhai Liu
The airborne star tracker is crucial in aircraft navigation systems, with its tracking performance directly impacting navigation accuracy. Under airborne conditions, the performance of its tracking control will be compromised by various disturbances. Moreover, the limitation in computational resources is another issue that must be addressed. Assuming that the existing studies on this application did
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Composite RISE control for vehicle-mounted servo system with unknown modeling uncertainties and unknown time-varying disturbances Isa Trans. (IF 7.3) Pub Date : 2024-02-24 Yiming Li, Zhongchao Zhang, Mingliang Bai, Guiqiu Song
In light of the problem of trajectory tracking control in vehicle servo systems with system model uncertainty and external time-varying disturbance, an effective trajectory tracking control method that can handle system model uncertainty and external time-varying disturbances is proposed. To achieve this goal, a novel composite robust integral of the sign of the error (RISE) control method is introduced
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Reinforcement learning-based attitude control for a barbell electric sail Isa Trans. (IF 7.3) Pub Date : 2024-02-24 Xiaolei Ma, Hao Wen