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Huijun Gao

Researcher at Harbin Institute of Technology

Publications -  722
Citations -  50296

Huijun Gao is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Linear matrix inequality & Control theory. The author has an hindex of 121, co-authored 685 publications receiving 44399 citations. Previous affiliations of Huijun Gao include Brunel University London & Xidian University.

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A new delay system approach to network-based control

TL;DR: A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modeled as a nonlinear time-delay system with two successive delay components in the state and the problem of network-based H"~ control is solved accordingly.
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Network-Induced Constraints in Networked Control Systems—A Survey

TL;DR: The main methodologies suggested in the literature to cope with typical network-induced constraints, namely time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, and data quantization are surveyed.
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Data-Based Techniques Focused on Modern Industry: An Overview

TL;DR: The main objective of this paper is to review and summarize the recent achievements in data-based techniques, especially for complicated industrial applications, thus providing a referee for further study on the related topics both from academic and practical points of view.
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Technical communique: Asynchronously switched control of switched linear systems with average dwell time

TL;DR: By allowing the Lyapunov-like function to increase during the running time of active subsystems, the extended stability results for switched systems with ADT in nonlinear setting are derived and the asynchronously switched stabilizing control problem for linear cases is solved.
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New Results on Stability of Discrete-Time Systems With Time-Varying State Delay

TL;DR: Several new conditions are obtained for the asymptotic stability of discrete-time systems with time-varying state delay by defining new Lyapunov functions and by making use of novel techniques to achieve delay dependence.