P
Peng Shi
Researcher at University of Adelaide
Publications - 1601
Citations - 80441
Peng Shi is an academic researcher from University of Adelaide. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 137, co-authored 1371 publications receiving 65195 citations. Previous affiliations of Peng Shi include Harbin Engineering University & Harbin University of Science and Technology.
Papers
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Stability and Stabilization of Switched Linear Systems With Mode-Dependent Average Dwell Time
TL;DR: The stability and stabilization problems for a class of switched linear systems with mode-dependent average dwell time (MDADT) are investigated in both continuous-time and discrete-time contexts.
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On designing of sliding-mode control for stochastic jump systems
TL;DR: Using Linear matrix inequalities (LMIs) approach, sufficient conditions are proposed to guarantee the stochastic stability of the underlying system and a reaching motion controller is designed such that the resulting closed-loop system can be driven onto the desired sliding surface in a limited time.
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Brief paper: Stability of switched positive linear systems with average dwell time switching
TL;DR: The stability analysis problem for a class of switched positive linear systems (SPLSs) with average dwell time switching is investigated and a multiple linear copositive Lyapunov function is introduced, by which the sufficient stability criteria are given for the underlying systems in both continuous-time and discrete-time contexts.
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State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems
Ligang Wu,Peng Shi,Huijun Gao +2 more
TL;DR: A new necessary and sufficient condition is proposed in terms of strict linear matrix inequality (LMI), which guarantees the stochastic admissibility of the unforced Markovian jump singular system.
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Stochastic Synchronization of Markovian Jump Neural Networks With Time-Varying Delay Using Sampled Data
TL;DR: Two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems.