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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Robust stochastic stabilization and H∞ control of uncertain neutral stochastic time-delay systems☆
TL;DR: In this paper, a linear matrix inequality approach is employed to design the desired state feedback controllers for uncertain neutral stochastic time-delay systems with time-varying norm-bounded parameter uncertainties appearing in both the state and input matrices.
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A real-time collision avoidance learning system for Unmanned Surface Vessels
Yuxin Zhao,Wang Li,Peng Shi +2 more
TL;DR: An approach to real-time collision avoidance that complies with the COLREGS rules for USV is presented, and the Evidential Reasoning theory is employed to evaluate the collision risks with obstacles encountered and trigger a prompt warning of a potential collision.
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Decentralized Adaptive Event-Triggered $H_\infty$ Filtering for a Class of Networked Nonlinear Interconnected Systems
TL;DR: A novel adaptive event-triggered condition is proposed by constructing an adaptive law for the threshold that mainly depends on the error between the states at the current sampling instant and the latest releasing instant, by which the data release rate is adapted to the variation of the system.
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${\cal H}_{\infty}$ Model Reduction of Takagi–Sugeno Fuzzy Stochastic Systems
TL;DR: This paper is concerned with the problem of H∞ model reduction for Takagi-Sugeno (T-S) fuzzy stochastic systems and proposes a reduced-order model, which not only approximates the original system well with an H ∞ performance but also translates it into a linear lower dimensional system.
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Fuzzy-Model-Based Nonfragile Guaranteed Cost Control of Nonlinear Markov Jump Systems
TL;DR: This paper investigates the problem of nonfragile guaranteed cost control for discrete-time Takagi–Sugeno fuzzy Markov jump systems with time-varying delays with the help of the parallel distributed compensation and proposes the Lyapunov–Krasovskii functional approach.