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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Reliable Mixed $H_\infty $ and Passivity-Based Control for Fuzzy Markovian Switching Systems With Probabilistic Time Delays and Actuator Failures
TL;DR: The main aim of this paper is to design a reliable mixed H∞ and passivity-based controller such that the stochastic TS fuzzy system with Markovian switching is stochastically stable with a prescribed mixed H ∞ andPassivity performance level γ > 0.
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Neural Networks-Based Distributed Adaptive Control of Nonlinear Multiagent Systems
TL;DR: The cooperative control problem of nonlinear multiagent systems is studied and based on the Lyapunov stability theory and algebraic graph theory, the stability analysis of the resulting closed-loop system is provided.
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Attitude Stabilization of Spacecrafts Under Actuator Saturation and Partial Loss of Control Effectiveness
Bing Xiao,Qinglei Hu,Peng Shi +2 more
TL;DR: A practical solution is presented to the problem of fault tolerant attitude stabilization for a rigid spacecraft by using feedback from attitude orientation only and the derived controller not only has the capability to protect the control effort from actuator saturation but also guarantees all the signals in the closed-loop system to be uniformly ultimately bounded.
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Modeling and adaptive tracking for a class of stochastic Lagrangian control systems
TL;DR: By reasonably introducing random noise, a method to construct stochastic Lagrangian control systems is given and an adaptive tracking controller is designed such that the mean square of the tracking error converges to an arbitrarily small neighborhood of zero by tuning design parameters.
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Asynchronously switched control of a class of slowly switched linear systems
TL;DR: By combining the asynchronous switching, an improved stabilization approach is given, and existence conditions of the controllers associated with the corresponding ADT switching are formulated in terms of a set of linear matrix inequalities.