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Daniel W. C. Ho
Researcher at City University of Hong Kong
Publications - 377
Citations - 25171
Daniel W. C. Ho is an academic researcher from City University of Hong Kong. The author has contributed to research in topics: Nonlinear system & Exponential stability. The author has an hindex of 85, co-authored 360 publications receiving 21429 citations. Previous affiliations of Daniel W. C. Ho include University of Hong Kong & Xidian University.
Papers
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Brief paper: A unified synchronization criterion for impulsive dynamical networks
TL;DR: A unified synchronization criterion is derived for directed impulsive dynamical networks by proposing a concept named ''average impulsive interval'' which is theoretically and numerically proved to be less conservative than existing results.
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Brief On robust stabilization of Markovian jump systems with uncertain switching probabilities
TL;DR: A new criterion for testing the robust stability of Markovian jump linear systems with uncertain switching probabilities is established in terms of linear matrix inequalities, and a sufficient condition is proposed for the design of robust state-feedback controllers.
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Robust integral sliding mode control for uncertain stochastic systems with time-varying delay
TL;DR: This paper is concerned with sliding mode control for uncertain stochastic systems with time-varying delay, and an integral sliding surface is first constructed, and a sufficient condition is derived to guarantee the global Stochastic stability of the stoChastic dynamics in the specified switching surface for all admissible uncertainties.
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Robust $H_{\infty}$ Control for Networked Systems With Random Packet Losses
TL;DR: In this paper, an observer-based feedback controller is designed to robustly exponentially stabilize the networked system in the sense of mean square and also achieve the prescribed Hinfin disturbance-rejection-attenuation level.
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Robust H/sub /spl infin// filtering for stochastic time-delay systems with missing measurements
TL;DR: The robust Hinfin filtering problem is studied for stochastic uncertain discrete time-delay systems with missing measurements and filters such that, for all possible missing observations and all admissible parameter uncertainties, the filtering error system is exponentially mean-square stable.