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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Fuzzy Delay Compensation Control for T-S Fuzzy Systems Over Network
TL;DR: By taking full advantage of the characteristics of the packet-based transmission in NCSs, new network delay compensation approaches are proposed to actively compensate the network communication delay under the fuzzy control framework.
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Effects of farmland conversion on the stoichiometry of carbon, nitrogen, and phosphorus in soil aggregates on the Loess Plateau of China
TL;DR: In this paper, the authors studied the effect of the conversion of sloping farmland (SF) to woodland (WO), grassland (GR), shrubland (SH), and terraced fields (TE) on aggregate structure, stability, and stoichiometry in 0-20, 20-40, and 40-60 cm soil layers.
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Brief paper: A delay decomposition approach to L2-L∞ filter design for stochastic systems with time-varying delay
TL;DR: This paper investigates the problem of L"2-L"~ filter design for a class of stochastic systems with time-varying delay and develops a less conservative filter design by constructing a new Lyapunov-Krasovskii functional.
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Event based guaranteed cost consensus for distributed multi-agent systems
TL;DR: The problem of event based guaranteed cost consensus for distributed multi-agent systems with general linear time invariant dynamics is considered and sufficient conditions to achieve the consensus with guaranteed cost are presented and expressed as a continuous constrained optimization problem.
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Adaptive Output Consensus With Saturation and Dead-Zone and Its Application
TL;DR: A distributed adaptive control scheme is proposed to guarantee that all the outputs of the followers in the graph asymptotically synchronize to the output of a leader with synchronization errors converging to the origin regardless of the system unknown dynamics and external disturbances.