2015
DOI: 10.1007/s40815-015-0071-y
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Composite Adaptive Fuzzy Output Feedback Dynamic Surface Control Design for Uncertain Nonlinear Stochastic Systems with Input Quantization

Abstract: In this paper, a composite adaptive fuzzy output feedback control problem is investigated for a class of single-input and single-output stochastic nonlinear systems, where the input signal takes quantized values. In the control design, by using fuzzy logic systems to approximate the unknown nonlinear functions, a fuzzy adaptive state observer is designed to estimate the unmeasured states. By utilizing the designed fuzzy state observer, a serial-parallel estimation model is established. Based on adaptive backst… Show more

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Cited by 17 publications
(21 citation statements)
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“…Previous references and mainly consider the case of that nonlinear functions g i (·)( i =1,⋯, n ) are identically equal to 1. However, not all the nonlinear functions g i (·) are equal to 1 in some strict‐feedback nonlinear systems.…”
Section: Problem Formulation and Some Preliminariesmentioning
confidence: 99%
See 4 more Smart Citations
“…Previous references and mainly consider the case of that nonlinear functions g i (·)( i =1,⋯, n ) are identically equal to 1. However, not all the nonlinear functions g i (·) are equal to 1 in some strict‐feedback nonlinear systems.…”
Section: Problem Formulation and Some Preliminariesmentioning
confidence: 99%
“…However, not all the nonlinear functions g i (·) are equal to 1 in some strict‐feedback nonlinear systems. Therefore, the control methods proposed in and can not be applied for system .…”
Section: Problem Formulation and Some Preliminariesmentioning
confidence: 99%
See 3 more Smart Citations