2020
DOI: 10.1155/2020/6018398
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Adaptive Decentralized Control Scheme for a Stochastic Interconnected System

Abstract: This work investigates a decentralized state feedback scheme of neural network control for an interconnected system. The completely unknown associated terms are estimated directly by the neural structure. A modified approach is proposed to deal with the state feedback format. By combining the Lyapunov function and backstepping technology together, an adaptive decentralized controller is established, and we can construct the boundedness of all signals in the closed-loop structure through the controller, which c… Show more

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