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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Published in | Science China. Information sciences Vol. 60; no. 12; pp. 67 - 77 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Beijing
Science China Press
01.12.2017
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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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. |
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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 |