Adaptive Decentralized Control Scheme for a Stochastic Interconnected System. (29th August 2020)

• Record Type: Journal Article
• Authors: Jiang, Xiaoli; Liu, Siqi; Liu, Mingyue; Yang, Li; Liu, Lina
• Other Names: Zhu Quanxin Academic Editor.
• Is Part Of: Complexity. Volume 2020(2020)
• Publication Date: 2020-08-29
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2020/6018398
• Languages: English
• ISSNs: 1076-2787

Abstract

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 can drive the formation of a given reference signal. In the end, the effectiveness of the presented strategy is referred to a simulation example.