关键词: 自适应控制, 非仿射系统, 分散控制, 神经网络, 未知时变时滞

Abstract: Based on the approximation capability of the neural networks, a decentralized adaptive neural network control scheme was proposed for a kind of unknown time-varying delay nonaffine interconnected largescale system. The unknown nonaffine functions were separated by the mean value theorem, while the restrictions of the unknown time delays and the uncertain time-varying delay interconnections were relaxed by utilizing the separation technique and the Young's inequality in the design. The number of adjustable parameters was considerably reduced. In addition, time delay uncertainties were compensated by using LyapunovKrasovskii functionals. Through the theoretical analysis, all of the signals in the closed-loop system are proven to be bounded, while the output tracking errors converge to a small neighborhood of the origin. The simulation results show the effectiveness of the proposed control scheme.

Key words: adaptive control, nonaffine system, decentralized control, neural network, unknown time-varying delay