Integral sliding mode control design for nonlinear stochastic systems under imperfect quantization

This paper presents a sliding mode control(SMC) scheme via output-feedback approach for It?o stochastic systems under a quantization mechanism. The quantization process is formulated with the imperfection that random packet loss occurs at the logarithmic quantizer. A Luenberger observer is designed,...

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Bibliographic Details
Published inScience China. Information sciences Vol. 60; no. 12; pp. 67 - 77
Main Authors Gao, Yabin, Luo, Wensheng, Liu, Jianxing, Wu, Ligang
Format Journal Article
LanguageEnglish
Published Beijing Science China Press 01.12.2017
Springer Nature B.V
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Summary:This paper presents a sliding mode control(SMC) scheme via output-feedback approach for It?o stochastic systems under a quantization mechanism. The quantization process is formulated with the imperfection that random packet loss occurs at the logarithmic quantizer. A Luenberger observer is designed, based on the packet loss rate and the imperfect quantized measurement. A novel SMC law is synthesized by utilization of an integral sliding surface. The stochastic stability of the resulting closed-loop system is analyzed in terms of Lyapunov stability, and a set of solvable matrix inequalities are established for practical application requirements. Finally, a simulation example is employed for the illustration of the effectiveness of the presented control scheme.
Bibliography:11-5847/TP
stochastic systems quantized control sliding mode control observer design packet loss
This paper presents a sliding mode control(SMC) scheme via output-feedback approach for It?o stochastic systems under a quantization mechanism. The quantization process is formulated with the imperfection that random packet loss occurs at the logarithmic quantizer. A Luenberger observer is designed, based on the packet loss rate and the imperfect quantized measurement. A novel SMC law is synthesized by utilization of an integral sliding surface. The stochastic stability of the resulting closed-loop system is analyzed in terms of Lyapunov stability, and a set of solvable matrix inequalities are established for practical application requirements. Finally, a simulation example is employed for the illustration of the effectiveness of the presented control scheme.
ISSN:1674-733X
1869-1919
DOI:10.1007/s11432-017-9148-2