Quantized stabilizing control of state‐dependent switching affine systems with control‐input and state‐measurement quantization

Author:

Cai Bo12ORCID,Ning Zepeng12ORCID,Cheng Yiming1,Tian Yongxiao34,Chen Guoliang5

Affiliation:

1. Department of Control Science and Engineering Harbin Institute of Technology Harbin China

2. Key Laboratory of System Control and Information Processing (Shanghai Jiao Tong University) Ministry of Education Shanghai China

3. School of Future Technology Shanghai University Shanghai China

4. Key Laboratory of Marine Intelligent Unmanned Swarm Technology and System (Shanghai University) Ministry of Education Shanghai China

5. School of Mathematics Science Liaocheng University Liaocheng China

Abstract

AbstractThis paper addresses stability analysis and quantized stabilization of discrete‐time state‐dependent switching affine systems with quantized control inputs and state measurements. The employed controller is in a mode‐dependent affine form to improve the adaptation to the mode of the controlled system and then to acquire less conservative results. The quantization scheme is considered to be logarithmic and synchronized with the mode switching of the switching affine system and the controller. Aiming at achieving lower conservative criteria, a mode‐dependent Lyapunov function incorporating quantization uncertainties is constructed. Correspondingly, the stability analysis and the stabilizing control synthesis are implemented. In the end, the proposed quantized control strategy is applied to a vehicle path‐following problem to exemplify its effectiveness and robustness against data quantization in control inputs and state measurements.

Funder

Natural Science Foundation of Heilongjiang Province

National Natural Science Foundation of China

China Postdoctoral Science Foundation

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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