Dynamic Event-Triggered Control for Semi-Markov Singularly Perturbed Systems With Generally Transition Rates-Reference-Cited by-同舟云学术

Dynamic Event-Triggered Control for Semi-Markov Singularly Perturbed Systems With Generally Transition Rates

Published:2024-01 Issue:1 Volume:54 Page:225-235
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Xu Jiangming¹^ORCID,Cheng Jun¹^ORCID,Yan Huaicheng²^ORCID,Park Ju H.³^ORCID,Qi Wenhai⁴^ORCID

Affiliation:

1. School of Mathematics and Statistics, Guangxi Normal University, Guilin, China

2. Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education, East China University of Science and Technology, Shanghai, China

3. Department of Electrical Engineering, Yeungnam University, Gyeongsan, Republic of Korea

4. School of Engineering, Qufu Normal University, Rizhao, China

Funder

National Natural Science Foundation of China

National Research Foundation of Korea

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10364887/10234443.pdf?arnumber=10234443

Reference40 articles.

1. Reliable Tracking Control for Under-Actuated Quadrotors With Wind Disturbances

2. Sliding-Mode Control for IT2 Fuzzy Nonlinear Singularly Perturbed Systems and Its Application to Electric Circuits: A Dynamic Event-Triggered Mechanism

3. Proportional-Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks

4. Output-Feedback Control for Fuzzy Singularly Perturbed Systems: A Nonhomogeneous Stochastic Communication Protocol Approach

5. Resilient Asynchronous H∞ Control for Discrete-Time Markov Jump Singularly Perturbed Systems Based on Hidden Markov Model

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