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Dive into the research topics where Hongbin Zhang is active.

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Featured researches published by Hongbin Zhang.


Isa Transactions | 2014

Stability analysis for discrete-time switched systems with unstable subsystems by a mode-dependent average dwell time approach.

Hongbin Zhang; Dehua Xie; Hongyu Zhang; Gang Wang

This paper mainly intends to present new stability results of a discrete-time switched system with unstable subsystems. By adopting multiple Lyapunov functions׳ (MLFs׳) method, new and less conservative stability conditions are derived in terms of a set of numerical feasible linear matrix inequalities (LMIs) with mode-dependent average dwell time (MDADT) techniques. Different from previous literatures, unstable subsystems are considered under two situations in this paper. It is shown that the discrete-time switched system can achieve exponential stability under a slow switching scheme and even in the presence of fast switching of unstable subsystems. Finally a numerical example is given to demonstrate the effectiveness of the proposed method.


Isa Transactions | 2014

Asynchronous control of discrete-time impulsive switched systems with mode-dependent average dwell time

Bo Wang; Hongbin Zhang; Gang Wang; Chuangyin Dang; Sijun Zhong

This paper mainly studies the asynchronous control problem for a class of discrete-time impulsive switched systems, where asynchronous means the switching of the controllers has a lag to the switching of system modes. By using multiple Lyapunov functions (MLFs), the much looser asymptotic stability result of closed-loop systems is derived with a mode-dependent average dwell time (MDADT) technique. Based on the stability result obtained, the problem of asynchronous control is solved under a proper switching law. Moreover, the stability and stabilization results are formulated in form of matrix inequalities that are numerically feasible. Finally, an illustrative numerical example is presented to show the effectiveness of the obtained stability results.


International Journal of Systems Science | 2014

Exponential stability and robust H∞ control of a class of discrete-time switched non-linear systems with time-varying delays via T-S fuzzy model

Yanbing Mao; Hongbin Zhang

This paper deals with stability and robust H∞ control of discrete-time switched non-linear systems with time-varying delays. The T-S fuzzy models are utilised to represent each sub-non-linear system. Thus, with two level functions, namely, crisp switching functions and local fuzzy weighting functions, we introduce a discrete-time switched fuzzy systems, which inherently contain the features of the switched hybrid systems and T-S fuzzy systems. Piecewise fuzzy weighting-dependent Lyapunov–Krasovskii functionals (PFLKFs) and average dwell-time approach are utilised in this paper for the exponentially stability analysis and controller design, and with free fuzzy weighting matrix scheme, switching control laws are obtained such that H∞ performance is satisfied. The conditions of stability and the control laws are given in the form of linear matrix inequalities (LMIs) that are numerically feasible. The state decay estimate is explicitly given. A numerical example and the control of delayed single link robot arm with uncertain part are given to demonstrate the efficiency of the proposed method.


International Journal of Systems Science | 2014

Delay-segment-dependent robust stability for uncertain discrete stochastic Markovian jumping systems with interval time delay

Jianwei Xia; Changyin Sun; Xiang Teng; Hongbin Zhang

This article deals with the problem of robust stochastic stability for a class of uncertain discrete stochastic Markovian jumping systems with time-varying interval delay. By constructing a parameter-dependent Lyapunov–Krasovskii functional and checking its difference in two subintervals, respectively, some novel delay-segment-dependent stability criteria for the addressed system are derived. Two simulation examples are given to show effectiveness of the proposed method.


International Journal of Systems Science | 2016

Asynchronous H∞ filtering for linear switched systems with average dwell time

Bo Wang; Hongbin Zhang; Gang Wang; Chuangyin Dang

This paper is concerned with the H∞ filtering problem for a class of continuous-time linear switched systems with the asynchronous behaviours, where ‘asynchronous’ means that the switching of the filters to be designed has a lag to the switching of the system modes. By using the Lyapunov-like functions and the average dwell time technique, a sufficient condition is obtained to guarantee the asymptotic stability with a weighted H∞ performance index for the filtering error system. Moreover, the results are formulated in the form of linear matrix inequalities that are numerical feasible. As a result, the filter design problem is solved. Finally, an illustrative numerical example is presented to show the effectiveness of the results.


Circuits Systems and Signal Processing | 2016

Robust Exponential H ∞ Filtering for Discrete-Time Switched Fuzzy Systems with Time-Varying Delay

Gang Wang; Rongqiang Xie; Hongbin Zhang; Guanjie Yu; Chuangyin Dang

This paper considers


Journal of The Franklin Institute-engineering and Applied Mathematics | 2018

Mixed H∞ and passive control for a class of nonlinear switched systems with average dwell time via hybrid control approach

Qunxian Zheng; Hongbin Zhang; Youzhu Ling; Xingzhong Guo


International Journal of Fuzzy Systems | 2018

Asynchronous H∞ Control of Discrete-Time Switched T–S Fuzzy Systems with Dwell Time

Yang Li; Hongbin Zhang; Dianhao Zheng; Yanhui Wang

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Circuits Systems and Signal Processing | 2017

Robust Stabilization of Continuous-Time Nonlinear Switched Systems Without Stable Subsystems via Maximum Average Dwell Time

Qunxian Zheng; Hongbin Zhang


Circuits Systems and Signal Processing | 2014

Stability Analysis of Stochastic Fuzzy Neural Networks with Time-Varying Delays and Reaction–Diffusion Terms

Hongyu Zhang; Chenhui Zhou; Hongbin Zhang; Qichong Tian; Gang Wang

H∞ filtering of discrete-time uncertain switched nonlinear systems with time-varying delay via Takagi–Sugeno fuzzy model which is used to approximate each nonlinear subsystem. Fuzzy piecewise Lyapunov–Krasovskii functionals and average dwell time approaches are utilized for the exponential stability analysis and

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Gang Wang

University of Electronic Science and Technology of China

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Qunxian Zheng

Anhui Polytechnic University

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Chuangyin Dang

City University of Hong Kong

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Bo Wang

University of Electronic Science and Technology of China

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Yang Li

University of Electronic Science and Technology of China

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Yanhui Wang

University of Electronic Science and Technology of China

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Dehua Xie

University of Electronic Science and Technology of China

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Hongyu Zhang

University of Electronic Science and Technology of China

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Xiang Mao

University of Electronic Science and Technology of China

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Xingzhong Guo

Anhui Polytechnic University

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