首页|Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems:Current Feedback Based Iterative Learning Approach

Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems:Current Feedback Based Iterative Learning Approach

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In this paper,the issues of stochastic stability analy-sis and fault estimation are investigated for a class of continuous-time Markov jump piecewise-affine(PWA)systems against actu-ator and sensor faults.Firstly,a novel mode-dependent PWA iterative learning observer with current feedback is designed to estimate the system states and faults,simultaneously,which con-tains both the previous iteration information and the current feedback mechanism.The auxiliary feedback channel optimizes the response speed of the observer,therefore the estimation error would converge to zero rapidly.Then,sufficient conditions for stochastic stability with guaranteed H∞ performance are demon-strated for the estimation error system,and the equivalence rela-tions between the system information and the estimated informa-tion can be established via iterative accumulating representation.Finally,two illustrative examples containing a class of tunnel diode circuit systems are presented to fully demonstrate the effec-tiveness and superiority of the proposed iterative learning observer with current feedback.

Current feedbackfault estimationiterative learn-ing observerMarkov jump piecewise-affine system

Yanzheng Zhu、Nuo Xu、Fen Wu、Xinkai Chen、Donghua Zhou

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College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China

College of Mechanical Engineering and Automation,Huaqiao University,Xiamen 361021,China

Department of Mechanical and Aerospace Engineering,North Carolina State University,Raleigh NC 27695 USA

Department of Electronic and Information Systems,Shibaura Institute of Technology,Saitama 337-8570,Japan

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaResearch Fund for the Taishan Scholar Project of Shandong Province of China and the NSFSDJapan Society for the Promotion of ScienceFujian Outstanding Youth Science Fund

62222310U18132016197313162033008ZR2022ZD3421K041292020J06022

2024

10.1109/JAS.2023.123990

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(2)
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