Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation

• Published in: Neurocomputing (Amsterdam) Vol. 74; no. 14; pp. 2277 - 2283
• Main Authors: Li, Tieshan, Li, Ronghui, Li, Junfang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2011
• Subjects: Decentralized adaptive control; Dynamic surface control (DSC); Lyapunov–Krasovskii functions; Minimal-learning parameters (MLP); Neural networks; Time-delay systems; Time-delay systems; Decentralized adaptive control; Lyapunov–Krasovskii functions; Minimal-learning parameters (MLP); Neural networks; Dynamic surface control (DSC)

In this paper, a novel decentralized adaptive neural control scheme is proposed for a class of interconnected large-scale uncertain nonlinear time-delay systems with input saturation. RBF neural networks (NNs) are used to tackle unknown nonlinear functions, then the decentralized adaptive NN trackin...