Global sampled-data output feedback stabilization for a class of switched stochastic nonlinear systems with quantized input and unknown output gain

Author:

Jiang Yan1ORCID,Zhai Junyong1

Affiliation:

1. Key Laboratory of Measurement and Control of CSE, Ministry of Education, School of Automation, Southeast University, China

Abstract

This paper aims at addressing the sampled-data output feedback control problem for a class of uncertain switched stochastic nonlinear systems, whose control input is quantized by a logarithmic quantizer and the output gain cannot be precisely known. We design a compensator with the quantized information. With the help of the feedback domination approach and the backstepping design method, a sampled-data output feedback controller is constructed with appropriate design parameters and a maximum sampling period to guarantee the global exponential stability in mean square of the closed-loop system under arbitrary switching. Finally, a numerical example is given to illustrate the effectiveness of the proposed scheme.

Funder

National Natural Science Foundation of China

Qing Lan Project

Publisher

SAGE Publications

Subject

Instrumentation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust H control for switched stochastic nonlinear systems under sampled‐data;International Journal of Robust and Nonlinear Control;2023-03-22

2. Fuzzy approximation-based adaptive tracking control for high-order nonlinear systems with asymmetric full-state constraints;Transactions of the Institute of Measurement and Control;2022-10-28

3. Dynamic event-triggered tracking control for a class of p-normal switched stochastic nonlinear systems;Transactions of the Institute of Measurement and Control;2022-05-05

4. Identification of Rational Systems with Logarithmic Quantized Data;Mathematical Problems in Engineering;2021-07-13

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