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A Game-theoretical Approach for a Finite-time Consensus of Secondorder Multi-agent System
Lei Xue,Changyin Sun,Donald C. Wunsch II 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.5
The second-order consensus problem depends on not only the topology condition but also the couplingstrength of the relative positions and velocities between neighboring agents. This paper seeks to solve the finitetimeconsensus problem of second-order multi-agent systems by games with special structures. Potential gameand weakly acyclic game were applied for modeling the second-order consensus problem with different topologies. Furthermore, this paper introduces the event-triggered asynchronous cellular learning automata algorithm foroptimizing the decision making process of the agents, which facilitates a convergence with the Nash equilibrium. Finally, numerical examples illustrate the effectiveness of the models.
Decentralized Neural Network-based Excitation Control of Large-scale Power Systems
Wenxin Liu,Jagannathan Sarangapani,Ganesh K. Venayagamoorthy,Li Liu,Donald C. Wunsch II,Mariesa L. Crow,David A. Cartes 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.5
This paper presents a neural network based decentralized excitation controller design for large-scale power systems. The proposed controller design considers not only the dynamics of generators but also the algebraic constraints of the power flow equations. The control signals are calculated using only local signals. The transient stability and the coordination of the subsystem control activities are guaranteed through rigorous stability analysis. Neural networks in the controller design are used to approximate the unknown/imprecise dynamics of the local power system and the interconnections. All signals in the closed loop system are guaranteed to be uniformly ultimately bounded. To evaluate its performance, the proposed controller design is compared with conventional controllers optimized using particle swarm optimization. Simulations with a three-machine power system under different disturbances demonstrate the effectiveness of the proposed controller design.