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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Quantized Control of Markov Jump Nonlinear Systems Based on Fuzzy Hidden Markov Model
TL;DR: Based on Takagi–Sugeno fuzzy technique and Lyapunov function approach, a sufficient condition is obtained, which can not only ensure the asymptotic stability of the closed-loop system and existence of the desired controller, but also can yield the minimal upper bound of GCC performance.
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Robust stability and stabilisation of uncertain switched linear discrete time-delay systems
TL;DR: In this article, the robust stability and stabilisation problems for switched linear discrete-time systems are studied, where the parameter uncertainties in the system under consideration are time-varying but norm-bounded.
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Maximum principle for mean-field jump–diffusion stochastic delay differential equations and its application to finance ☆
TL;DR: Under certain conditions, explicit expressions are provided for the efficient portfolio and the efficient frontier, which are as elegant as those in the classical mean–variance problem without delays.
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Robust $H_{\infty }$ Control for T–S Fuzzy Systems With State and Input Time-Varying Delays via Delay-Product-Type Functional Method
TL;DR: A state feedback controller is derived that guarantees the closed-loop fuzzy system being asymptotically stable with an $H_{\infty }$ performance index.
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Adaptive Neural Network Fixed-Time Leader–Follower Consensus for Multiagent Systems With Constraints and Disturbances
Junkang Ni,Peng Shi +1 more
TL;DR: It is shown that the proposed control scheme achieves fixed-time leader–follower consensus of the studied MAS with output constraints, unknown control direction, unknown system dynamics, and unknown external disturbance.