Generalized sliding event‐triggered control for dissipative performance of Markov switching dynamic systems-Reference-Cited by-同舟云学术

Generalized sliding event‐triggered control for dissipative performance of Markov switching dynamic systems

Published:2023-10-05 Issue:2 Volume:34 Page:1292-1311
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Intl J Robust & Nonlinear

Author:

Zhao Can¹²^ORCID,Cao Jinde³⁴^ORCID,Shi Kaibo¹^ORCID,Tang Yiqian¹,Zhong Shouming⁵,Zhong Qishui⁶^ORCID,Abdel‐Aty Mahmoud⁷

Affiliation:

1. School of Information Science and Engineering Chengdu University Chengdu People's Republic of China

2. Institute of Electronic and Information Engineering of UESTC in Guangdong, University of Electronic Science and Technology of China Dongguan People's Republic of China

3. School of Mathematics Southeast University Nanjing People's Republic of China

4. Yonsei Frontier Lab Yonsei University Seoul South Korea

5. School of Mathematics Sciences University of Electronic Science and Technology of China Chengdu People's Republic of China

6. School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu People's Republic of China

7. The Egypt & Mathematics Department, Faculty of Sciences Sohag University Sohag Egypt

Abstract

SummaryIn this paper, a generalized sliding event‐triggered control for the closed‐loop Markov switching systems (CLMSSs) is studied. It is proved that the system is driven to the designed sliding mode surface under a given sliding mode controller. A generalized sliding event‐triggered controller is developed to obtain strictly dissipative performance of CLMSSs, in which the combination of sliding mode control and event‐triggering protocol makes the control performance more efficient and generalized. Further, two dissipative criteria for CLMSSs are established. Finally, the results of numerical simulations give a witness for the effectiveness of the given theorems and methods.

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Natural Science Foundation of Sichuan Province

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Southwest University for Nationalities

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rnc.7030

Reference40 articles.

1. Advances on modeling and control of semi-Markovian switching systems: A Survey

2. Quantized Nonstationary Filtering of Networked Markov Switching RSNSs: A Multiple Hierarchical Structure Strategy

3. Hidden Markov Model-Based Nonfragile State Estimation of Switched Neural Network With Probabilistic Quantized Outputs

4. Sliding mode control in dynamic systems

5. Novel results on dissipativity analysis for generalized delayed neural networks

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