Fuzzy SMC for quantized nonlinear stochastic switching systems with semi-Markovian process and application

W Qi, X Yang, JH Park, J Cao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This article is concerned with the issue of quantized sliding-mode control (SMC) design
methodology for nonlinear stochastic switching systems subject to semi-Markovian switching …

Fuzzy integral sliding-mode control for nonlinear semi-Markovian switching systems with application

W Qi, X Gao, CK Ahn, J Cao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The issue of sliding-mode control (SMC) design is studied for a class of nonlinear semi-
Markovian switching systems (S-MSSs) via T–S fuzzy approach. Compared with previous …

Finite-time observer-based sliding mode control for quantized semi-Markov switching systems with application

W Qi, G Zong, HR Karimi - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
This article investigates the problem of sliding mode control (SMC) for semi-Markov
switching systems (S-MSSs) with quantized measurement in finite-time level. The transition …

Nonstationary control for T–S fuzzy Markovian switching systems with variable quantization density

J Cheng, Y Shan, J Cao, JH Park - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
This article concentrates on the nonstationary control for a class of nonlinear Markovian
switching systems (MSSs) with the Tagaki-Sugeno (TS) fuzzy model. By adopting variable …

Dissipativity-based sliding mode control of switched stochastic systems

L Wu, WX Zheng, H Gao - IEEE Transactions on Automatic …, 2012 - ieeexplore.ieee.org
This technical brief is concerned with dissipativity analysis and dissipativity-based sliding
mode control (SMC) of continuous-time switched stochastic systems. Firstly, a sufficient …

Sliding mode control for nonlinear stochastic semi-Markov switching systems with application to SRMM

W Qi, G Zong, HR Karimi - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
In this paper, the sliding mode control (SMC) design for nonlinear stochastic semi-Markov
switching systems (S-MSSs) is studied via the bound of time-varying transition rate matrix, in …

Observer-based adaptive sliding mode control for nonlinear stochastic Markov jump systems via T–S fuzzy modeling: Applications to robot arm model

B Jiang, HR Karimi, S Yang, C Gao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this article, the issue of sliding mode control for nonlinear stochastic Markovian jump
systems with uncertain time-varying delay is investigated. Considering the system state …

Observer-based fuzzy adaptive stabilization of uncertain switched stochastic nonlinear systems with input quantization

X Huo, L Ma, X Zhao, G Zong - Journal of the Franklin Institute, 2019 - Elsevier
This paper proposes an observer-based fuzzy adaptive output feedback control scheme for
a class of uncertain single-input and single-output (SISO) nonlinear stochastic systems with …

Asynchronous adaptive fault-tolerant sliding-mode control for T–S fuzzy singular Markovian jump systems with uncertain transition rates

M Li, X Chen, M Liu, Y Zhang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In this article, the problem of asynchronous sliding-mode control (SMC) for a class of
nonlinear singular Markovian jump systems (SMJSs) with actuator faults and uncertain …

Sliding mode control of discrete-time switched systems with repeated scalar nonlinearities

X Su, X Liu, P Shi, R Yang - IEEE Transactions on Automatic …, 2016 - ieeexplore.ieee.org
This note studies the design of sliding mode control (SMC) for discrete-time hybrid stochastic
switched systems with repeated scalar nonlinearities. The weighed ℋ∞ gain performance is …