H
Hong Zhu
Researcher at University of Electronic Science and Technology of China
Publications - 83
Citations - 1845
Hong Zhu is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Artificial neural network & Exponential stability. The author has an hindex of 25, co-authored 81 publications receiving 1634 citations.
Papers
More filters
Journal ArticleDOI
Finite-time H∞ control for a class of Markovian jump systems with mode-dependent time-varying delays via new Lyapunov functionals.
TL;DR: A new Lyapunov-Krasovskii functional is constructed, and based on the derived condition, the reliable H∞ control problem is solved, and the system trajectory stays within a prescribed bound during a specified time interval.
Journal ArticleDOI
Novel Finite-Time Reliable Control Design for Memristor-Based Inertial Neural Networks With Mixed Time-Varying Delays
TL;DR: In this article, an appropriate reliable control strategy is proposed for MINNs, which takes the influence of actuator failures into account, and novel theoretical results to guarantee the FTS for the concerned MINNs are acquired, and the desired reliable controller gains are obtained simultaneously.
Journal ArticleDOI
Some novel approaches on state estimation of delayed neural networks
TL;DR: Improved delay-dependent stability criteria are derived, which guarantee the existence of desired state estimator for delayed neural networks (DNNs) and a better estimator gain matrix is obtained in terms of the solution of linear matrix inequalities (LMIs).
Journal ArticleDOI
Finite-time filtering for switched linear systems with a mode-dependent average dwell time
TL;DR: In this paper, the authors considered the problem of finite-time filtering for switched linear systems with a mode-dependent average dwell time and derived sufficient conditions in terms of linear matrix inequalities.
Journal ArticleDOI
Finite-time H∞ estimation for discrete-time Markov jump systems with time-varying transition probabilities subject to average dwell time switching
TL;DR: This paper studies the problem of finite-time H ∞ estimation for a class of discrete-time MarkovJump systems with time-varying transition probabilities subject to average dwell time switching, and concludes that sufficient conditions ensuring the Markov jump systems to be finite- time bounded and H∞ filtering infinite-time boundness are established.