Finite-time asynchronous dissipative filtering of conic-type nonlinear Markov jump systems

X Zhang, S He, V Stojanovic, X Luan, F Liu - Science China Information …, 2021 - Springer
In the present study, the finite-time asynchronous dissipative filter design problem for the
Markov jump systems with conic-type nonlinearity is studied. The hidden Markov model can …

Fuzzy-model-based control for singularly perturbed systems with nonhomogeneous Markov switching: A dropout compensation strategy

J Cheng, W Huang, HK Lam, J Cao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article addresses the asynchronous control for singularly perturbed systems with
nonhomogeneous Markov switching approximated by T–S fuzzy models. The transition …

Gain-scheduled finite-time synchronization for reaction–diffusion memristive neural networks subject to inconsistent Markov chains

X Song, J Man, S Song, CK Ahn - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
An innovative class of drive-response systems that are composed of Markovian reaction-
diffusion memristive neural networks, where the drive and response systems follow …

Razumikhin-type theorem for pth exponential stability of impulsive stochastic functional differential equations based on vector Lyapunov function

W Cao, Q Zhu - Nonlinear Analysis: Hybrid Systems, 2021 - Elsevier
This paper is concerned with the pth moment exponential stability of stochastic functional
differential equations with impulses. Based on average dwell-time method, Razumikhin-type …

Intelligent global sliding mode control using recurrent feature selection neural network for active power filter

S Hou, Y Chu, J Fei - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
This study develops an intelligent global sliding mode control using recurrent feature
selection neural network for active power filter (APF). First, the dynamic model of an APF is …

A self-organizing global sliding mode control and its application to active power filter

S Hou, J Fei - IEEE Transactions on Power Electronics, 2019 - ieeexplore.ieee.org
In this article, a self-organizing global sliding mode control (GSMC) is developed for a class
of dynamic systems, whereby modeling uncertainties are estimated by metacognitive fuzzy …

Filtering for discrete-time Takagi–Sugeno fuzzy nonhomogeneous Markov jump systems with quantization effects

M Hua, Y Qian, F Deng, J Fei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This article deals with the problem of and filtering for discrete-time Takagi–Sugeno fuzzy
nonhomogeneous Markov jump systems with quantization effects, respectively. The time …

Robust intelligent control for a class of power-electronic converters using neuro-fuzzy learning mechanism

S Hou, Y Chu, J Fei - IEEE Transactions on Power Electronics, 2021 - ieeexplore.ieee.org
This article considers a robust intelligent control problem for a class of power-electronic
converters via a neuro-fuzzy learning mechanism. First, a terminal sliding-mode control …

Filtering for Discrete-Time Periodic Markov Jump Systems With Quantized Measurements: A New Packet Loss Compensation Strategy

M Hua, F Zhang, F Deng, J Fei… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The filtering problem for discrete-time periodic Markov jump systems with quantized
measurements and packet loss compensation is addressed in this article. The stochastic …

Co-design of adaptive event generator and asynchronous fault detection filter for Markov jump systems via genetic algorithm

X Zhang, H Wang, J Song, S He… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article investigates the co-design problem of adaptive event-triggered schemes
(AETSs) and asynchronous fault detection filter (AFDF) for nonhomogeneous higher-level …