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.
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A Sustainable Solid Electrolyte Interphase for High-Energy-Density Lithium Metal Batteries Under Practical Conditions
TL;DR: A sustainable SEI was designed rationally by combining fluorinated co-solvents with sustained-release additives in response to challenges from practical conditions, affords a fresh guidance to the design principles of SEI in practical Li metal batteries.
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Consensus of Multiagent Systems Using Aperiodic Sampled-Data Control
TL;DR: A novel discontinuous Lyapunov functional is introduced on the basis of the vector extension of Wirtinger's inequality, which can lead to simplified and efficient stability conditions for computation and optimization in the aperiodic sampled-data controllers.
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Cooperative Control of Multi-Agent Systems With Unknown State-Dependent Controlling Effects
Peng Shi,Qikun Shen +1 more
TL;DR: An adaptive cooperative control scheme is proposed for uncertain high-order nonlinear multi-agent systems, whose node' controlling effects are state-dependent, and the effectiveness of the control strategies is illustrated via simulation study.
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Integrated Fault Estimation and Accommodation Design for Discrete-Time Takagi–Sugeno Fuzzy Systems With Actuator Faults
Bin Jiang,Ke Zhang,Peng Shi +2 more
TL;DR: A multiconstrained reduced-order FE observer (RFEO) is proposed to achieve FE for discrete-time T-S fuzzy models with actuator faults and a new approach for fault accommodation based on fuzzy-dynamic output feedback is designed.
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Stabilization of Networked Control Systems With Random Delays
Xiaoli Luan,Peng Shi,Fei Liu +2 more
TL;DR: An observer-based stabilizing controller has been designed for networked systems involving both random measurement and actuation delays and by the simultaneous presence of binary random delays and making full use of the delay information in the measurement model and controller design, new and less conservative stabilization conditions are derived.