Adaptive decentralized NN control of large-scale stochastic nonlinear time-delay systems with unknown dead-zone inputs

作者：Cui, Guozeng^*; Wang, Zhen; Zhuang, Guangming; Li, Ze; Chu, Yuming

来源：Neurocomputing, 2015, 158: 194-203.

DOI：10.1016/j.neucom.2015.01.048

• Adaptive decentralized control
• Stochastic nonlinear systems
• Neural network (NN)
• Time-varying delays
• Dead-zones

In this paper, the problem of adaptive decentralized neural network (NN) control for a class of large-scale stochastic nonlinear time-delay systems with unknown dead-zone inputs is investigated. Neural networks are utilized to approximate unknown nonlinear functions, and an adaptive decentralized controller is constructed by incorporating the minimal learning parameters algorithm into backstepping design procedure. It is proved that the proposed control scheme guarantees that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded in probability. Finally, a numerical example is provided to demonstrate the effectiveness of the present results.

• 出版日期2015-6-22
• 单位山东科技大学; 苏州科技大学; 南京理工大学; 聊城大学; 湖州师范学院