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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Exponential Stability on Stochastic Neural Networks With Discrete Interval and Distributed Delays
Rongni Yang,Zexu Zhang,Peng Shi +2 more
TL;DR: New delay-dependent stability criteria are presented by constructing a novel Lyapunov-Krasovskii functional, which can guarantee the new stability conditions to be less conservative than those in the literature.
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Event-Triggered Pinning Control for Consensus of Multiagent Systems With Quantized Information
TL;DR: It is shown that practical consensus is reachable through the event-triggered control and converges to a consensus set and “Zeno phenomenon” can be excluded.
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Fault detection for Markovian jump systems
TL;DR: In this article, the robust fault detection problem for a class of discrete-time linear Markovian jump systems with an unknown input is formulated as an H∞-filtering problem, in which the filter matrices are dependent on the system mode.
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Sliding Mode Control of Singular Stochastic Markov Jump Systems
Zhiguang Feng,Peng Shi +1 more
TL;DR: An investigation has been made into the sliding mode control (SMC) problem for singular stochastic Markov systems (SSMSs) using replacement of matrix variables and the obtained results given in the form of strict linear matrix inequalities are applied to solve SMC problem of SSMSs.
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Finite-Time Consensus of Second-Order Switched Nonlinear Multi-Agent Systems
TL;DR: A novel adaptive protocol is proposed for the switched nonlinear MASs based on the developed design framework and the neural network method and a numerical example is presented to demonstrate the effectiveness of the proposed control scheme.