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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Observer-based finite-time H∞ control for discrete singular stochastic systems
TL;DR: The main purpose of this paper is to design an observer and a state feedback controller ensuring that the resulting closed-loop error system is singular finite-time bounded via observer-based state feedback and satisfies a prescribed H ∞ performance level in a finite- time interval.
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Thermodynamic analysis and molecular dynamic simulation of the solubility of vortioxetine hydrobromide in three binary solvent mixtures
TL;DR: In this paper, the solubility of Vortioxetine hydrobromide (VORH) was determined by the gravimetric method at temperatures ranging from (283.15 to 318.15) K.
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Distributed attitude control for multiple spacecraft with communication delays
Shihua Li,Haibo Du,Peng Shi +2 more
TL;DR: Rigorous proof shows that attitude synchronization can be achieved asymptotically under the proposed control law if the communication topology graph among the spacecraft is strongly connected.
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Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach
Chao Deng,Wei-Wei Che,Peng Shi +2 more
TL;DR: A novel distributed fault-tolerant controller is developed and an auxiliary variable is introduced in the distributed estimation algorithm to construct a data matrix, which is used to learn the system matrix of the exosystem for each subsystem.
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Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint.
TL;DR: A neural-network-adaptive technology is proposed for MIMO systems with input backlash via FT convergence and it is shown that desired tracking performance can be implemented in finite time.