TuC2 Control Theory 3
Time : 16:40-18:10
Room : Room 2 (Burano 1)
Chair : Prof.Guisheng Zhai (Shibaura Institute of Technology, Japan)
16:40-16:55        TuC2-1
Event-Triggered Distributed State Estimation for Nonlinear Reference Systems Under Markovian Switching Topologies

Zitao Chen, Jiapei Yan, Kairui Chen, Xuejing Lan(Guangzhou University, China), Junwei Wang(Guangdong University of Foreign Studies, China)

This paper proposes a novel distributed observer for state estimation of a class of nonlinear systems under Markovian switching topologies. The communication constraint is that each observer can not observe the reference state individually, but the network is jointly observable. Since communication energy and bandwidth are limited in engineering practice, an event-triggered communication scheme is developed to decrease the transmission frequency. A sufficient condition is then given to guarantee that the estimation error is exponentially bounded in mean square under the Markovian switching topologies and event-triggered mechanism, which is rigorously analyzed. The effectiveness of the propos
16:55-17:10        TuC2-2
Fault Estimation and Fault-Tolerant Control for Networked Control Systems with Packet Dropouts

Ramalingam Sakthivel, YeongJae Kim, Ramasamy Kavikumar, Ohmin Kwon(Chungbuk National University, Korea)

In this work, the fault estimation and fault-tolerant control problems are considered for a networked control systems with external disturbances and packet dropouts. Based on output measurements and state estimates, a intermediate estimator is introduced. A specially structured error system can be created by decomposing the Laplacian spectrally and scaling the faults and disturbances appropriately. The error system’s states are uniformly bounded with an explicit error bound. Compared with the existing results, the proposed fault estimation strategy does not require observers to match and preliminary knowledge of fault upper bounds. Further, the robustness of the error system can be achieved.
17:10-17:25        TuC2-3
UDE-based non-fragile control design for interval-type-2 fuzzy systems

Palanisamy Selvaraj(Chungbuk National University, Korea), Seung-Hoon Lee, Oh-Min Kwon(Chungbuk National University,, Korea)

This paper investigates the tracking control problem for interval-type 2 fuzzy systems that incorporate unknown bounded uncertainty and unknown external disturbances. The control design incorporates the utilization of an uncertainty and disturbance estimator (UDE) to enhance robustness against these factors. Moreover, interval type-2 fuzzy sets are employed to represent the model uncertainties in the addressed system. The UDE algorithm is utilized based on the assumption that a continuous signal can be approximated and estimated using a filter with the appropriate bandwidth. Finally, simulation results are presented to demonstrate the advantages of the developed theoretical results.
17:25-17:40        TuC2-4
Approximation based H∞ control of linear systems with state delays

Lorinc Marton(University of Pannonia, Hungary), Aron Feher(Sapientia Hungarian University of Transylvania, Romania)

In this paper, we address the control design problem of time delay systems based on delay-free approximation models. By exploiting the asymptotic proprieties of the deviance between the time delay system and approximate system trajectories, an H∞ output feedback control with mixed sensitivity for setpoint tracking was developed. We have compared two approximation methods for control design: Galerkin’s approximation and a state dimension preserving approximation. Numerical simulations are also presented to show the applicability of the approximation-based H∞ control.
17:40-17:55        TuC2-5
Bipartite consensus for parabolic PDE-based multi-agent systems with input time delay

Arumugam Parivallal, Yoon Mo Jung, Sangwoon Yun(Sungkyunkwan University, Korea)

In this work, we study the leader-following bipartite consensus for multi-agent systems given as partial differential equations. The main aim of this study is to design a controller that ensures the bipartite consensus of the multi-agent system. First, we transform the bipartite consensus problem into a stabilization problem consisting of error systems between the followers and the leader. Then, using the Lyapunov stability theory, we derive sufficient conditions for the asymptotic stability of these error systems which guarantee the bipartite consensus of the considered multi-agent system. Finally, we provide a numerical example to verify the efficiency of the derived theoretical results.
17:55-18:10        TuC2-6
Quadratic Stabilization and L2 Performance Design of Switched Uncertain Nonlinear Systems

Yufang Chang(Hubei University of Technology, China), Guisheng Zhai(Shibaura Institute of Technology, Japan), Bo Fu(Hubei University of Technology, China)

Quadratic stability (QS) and L2 performance are studied for switched systems consisting of nonlinear subsystems with norm-bounded uncertainties and quadratic constraints for nonlinearities. When no single subsystem is QS, if there exists a convex combination of subsystems which is QS, then a state-dependent switching law, based on the convex combination of subsystems, is proposed under which the entire switched system is QS. Next, the discussion is extended to the case concerning quadratic L2 performance, and parallel results are obtained. Finally, it is natural and practical to further extend the discussion to the case involving state feedback controller.

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