A non‐fragile approach to fault estimation for a class of multi‐rate systems under binary encoding schemes

Author:

Hou Nan123,Wang Zidong4ORCID,Shen Yuxuan123,Liu Hongjian56,Dong Hongli123

Affiliation:

1. Sanya Offshore Oil & Gas Research Institute Northeast Petroleum University Sanya China

2. Artificial Intelligence Energy Research Institute Northeast Petroleum University Daqing China

3. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast Petroleum University Daqing China

4. Department of Computer Science Brunel University London Uxbridge Middlesex UK

5. Key Laboratory of Advanced Perception and Intelligent Control of High‐end Equipment Ministry of Education, Anhui Polytechnic University Wuhu China

6. School of Mathematics and Physics Anhui Polytechnic University Wuhu China

Abstract

AbstractThis article is concerned with the non‐fragile fault estimation issue for a class of multi‐rate systems under binary encoding schemes (BES). A specific dynamics relationship with zero second‐order difference is employed to characterize the evolution of the actuator fault. The signal communication is regulated by the BESs, where the resulting random bit errors are characterized by a certain stochastic noise. The aim of this article is to design a fault estimator such that the estimation error dynamics is exponentially ultimately bounded in mean square. First, an equivalent single‐rate system is formulated via the lifting technique. Then, by virtue of the stochastic analysis method and the matrix inequality approach, sufficient conditions are developed to ensure the existence of the desired fault estimator. Finally, the effectiveness of the proposed estimator design strategy is testified through a simulation example.

Funder

Natural Science Foundation of Heilongjiang Province

Publisher

Wiley

Subject

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

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