Abstract
In this paper, an interval observer is designed for discrete time-varying nonlinear interconnected systems in which the estimated state set is described by using an ellipsoid. The state estimation accuracy is improved by expressing the higher-order infinitesimal terms of nonlinear Taylor expansion with ellipsoids instead of disregarding them. In order to reduce the communication burden, the weighted try-once-discard (WTOD) protocol is used to schedule the transmission order of the subsystem components. Furthermore, the interval observer gain matrices are calculated by solving linear matrix inequalities. At the end of this paper, a numerical simulation is given to prove the effectiveness of the proposed interval observer.
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D. Yang, Q. Feng, and G. Zong, “Asynchronous bumpless transfer finite-time H∞ control for markovian jump systems with application to circuit system.” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 69, no. 12, pp. 4929–4933, 2022.
D. Yang, G. Zong, S. Su, and T. Liu, “Time-driven adaptive control of switched systems with application to electrohydraulic unit.” IEEE Transactions on Cybernetics, vol. 52, no. 11, pp. 11906–11915, 2021.
D. Yang, G. Zong, S. Nguang, and X. Zhao, “Bumpless transfer H∞ anti-disturbance control of switching markovian LPV systems under the hybrid switching.” IEEE Transactions on Cybernetics, vol. 52, no. 5, pp. 2833–2845, 2020.
G. Zong, Q. Xu, X. Zhao, S. Su, and L. Song, “Output-feedback adaptive neural network control for uncertain nonsmooth nonlinear systems with input deadzone and saturation.” IEEE Transactions on Cybernetics, vol. 53, no. 9, pp. 5957–5969, 2022.
G. Zong, Y. Wang, H. Karimi, and K. Shi, “Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints.” Neural Networks, vol. 147, pp. 126–135, 2022.
J. Cheng, H. Yan, J. Park, and G. Zong, “Output-feedback control for fuzzy singularly perturbed systems: A nonhomogeneous stochastic communication protocol approach.” IEEE Transactions on Cybernetics, vol. 53, no. 1, pp. 76–87, 2021.
D. Huong, V. Huynh, and H. Trinh, “Distributed functional interval observers for nonlinear interconnected systems with time-delays and additive disturbances.” IEEE Systems Journal, vol. 15, no. 1, pp. 411–422, 2020.
J. Zhou, and C. Wen, “Decentralized backstepping adaptive output tracking of interconnected nonlinear systems.” IEEE Transactions on Automatic Control, vol. 53, no. 10, pp. 2378–2384, 2008.
Z. Zhang, and G. Yang, “Interval observer-based fault isolation for discrete-time fuzzy interconnected systems with unknown interconnections.” IEEE Transactions on Cybernetics, vol. 47, no. 9, pp. 2413–2424, 2017
K. Zhang, B. Jiang, and P. Shi, “Distributed fault estimation observer design with adjustable parameters for a class of nonlinear interconnected systems.” IEEE Transactions on Cybernetics, vol. 49, no. 12, pp. 4219–4228, 2018.
S. Chen, J. Guo, and L. Ma, “Sliding mode observer design for discrete nonlinear time-delay systems with stochastic communication protocol.” International Journal of Control, Automation, and Systems, vol. 17, no. 7, pp. 1666–1676, 2019.
D. Liu, D. Ding, Y. Sun, and G. Wei, “Nonlinear filtering under stochastic communication protocol with unknown scheduling probability.” International Journal of Control, Automation, and Systems, vol. 19, no. 10, pp. 3343–3353, 2021.
L. Xu, Y. Chen, and L. Ming, “Sliding mode resilient control for TOD-based servo system under DoS attack.” International Journal of Control, Automation, and Systems, vol. 20, no. 2, pp. 526–535, 2022.
Y. Shen, Z. Wang, B. Shen, F. Alsaadi and F. Alsaadi, “Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol.” Information Fusion, vol. 55, pp. 281–291, 2020.
X. Li, G. Wei, D. Ding, and S. Liu, “Recursive filtering for time-varying discrete sequential systems subject to deception attacks: Weighted try-once-discard protocol.” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 52, no. 6, pp. 3704–3713, 2021.
D. Luenberger, “Observers for multivariable systems.” IEEE Transactions on Automatic Control, vol. 11, no. 2, pp. 190–197, 1966.
H. Wang, Z. Zuo, Y. Wang, H. Yang, and S. Chang, “Composite nonlinear extended state observer and its application to unmanned ground vehicles.” Control Engineering Practice, vol. 109, pp. 104731, 2021.
J. Yang, Z. Gao, Z. Li, and W. Qian, “An improved multiple-state observer of boolean control networks.” Asian Journal of Control, vol. 21, no. 6, pp. 2651–2661, 2019.
Z. Zhang, T. Leifeld, and P. Zhang, “Reduced-order observer design for boolean control networks.” IEEE Transactions on Automatic Control, vol. 65, no. 1, pp. 434–441, 2019.
J. Gouzé, A. Rapaport, and M. Hadj-Sadok, “Interval observers for uncertain biological systems.” Ecological Modelling, vol. 133, no. 1–2, pp. 45–56, 2000.
X. Li, G. Wei, and D. Ding, “Interval observer design under stealthy attacks and improved event-triggered protocols.” IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 570–579, 2020.
F. Cacace, A. Germani, and C. Manes, “A new approach to design interval observers for linear systems.” IEEE Transactions on Automatic Control, vol. 60, no. 6, pp. 1665–1670, 2014.
Z. Zhang, S. Li, and H. Yan, “Interval observer-based output feedback control for a class of interconnected systems with uncertain interconnections.” International Journal of Control, Automation, and Systems, vol. 17, no. 4, pp. 957–965, 2019.
T. Raïssi, D. Efimov, and A. Zolghadri, “Interval state estimation for a class of nonlinear systems.” IEEE Transactions on Automatic Control, vol. 57, no. 1, pp. 260–265, 2011.
J. Meseguer, V. Puig, and T. Escobet, “Robust fault detection linear interval observers avoiding the wrapping effect.” IFAC Proceedings Volumes, vol. 41, no. 2, pp. 11570–11575. 2008.
F. Xu, S. Yang, and X. Wang, “A novel set-theoretic interval observer for discrete linear time-invariant systems.” IEEE Transactions on Automatic Control, vol. 66, no. 2, pp. 773–780. 2020.
E. Walter, and H. Piet-Lahanier, “Exact recursive polyhedral description of the feasible parameter set for bounded-error models.” IEEE Transactions on Automatic Control, vol. 34, no. 8, pp. 911–915, 1989.
A. Vicino, and G. Zappa, “Sequential approximation of feasible parameter sets for identification with set membership uncertainty.” IEEE Transactions on Automatic Control, vol. 41, no. 6, pp. 774–785, 1996.
M. Dkhil, T. Dinh, Z. Wang, T. Raïssi, and M. Amairi, “Interval estimation for discrete-time switched linear systems based on L∞ observer and ellipsoid analysis.” IEEE Control Systems Letters, vol. 5, no. 1, pp. 13–18, 2020.
D. Ding, Z. Wang, and Q. Han, “A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks.” IEEE Transactions on Automatic Control, vol. 65, no. 4, pp. 1792–1799, 2019.
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This work is the results of the research project funded by the National Natural Science Foundation of China 31370710, 52107075, in part by the Fundamental Research Funds of Central Universities 2572022BF05, in part by the Heilongjiang Provincial Postdoctoral Science Foundation LBH-Z22053.
Xin Li received her Ph.D. degree in control science and control engineering from the University of Shanghai for Science and Technology, Shanghai, China, in 2021. She is currently an Associate Professor with the College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China. Her current research interests include networked control systems, interval observers, sensor networks, nonlinear stochastic control, and filtering.
Ruiqi Gong received his bachelor’s degree from the School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China in 2021, where he is currently working toward a master’s degree in control science and engineering. His research interests include interconnected systems and interval observers.
Liangkuan Zhu received his Ph.D. degree in control science and technology from Harbin Institute of Technology, Harbin, China, in 2008. Since 2008, he has been with the College of Electromechanical Engineering at Northeast Forestry University and is currently a professor. His current research interests include networked control systems, robust control, intelligent control, and application.
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Li, X., Gong, R. & Zhu, L. Interval Observer Design for Nonlinear Interconnected Systems via Ellipsoid Approach. Int. J. Control Autom. Syst. 22, 807–815 (2024). https://doi.org/10.1007/s12555-022-1156-7
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DOI: https://doi.org/10.1007/s12555-022-1156-7