Adaptive neural control for nonstrict-feedback time-delay systems with input and output constraints

作者：Si, Wenjie^*; Dong, Xunde

来源：International Journal of Machine Learning and Cybernetics, 2018, 9(9): 1533-1540.

DOI：10.1007/s13042-017-0662-z

• Adaptive neural control
• Nonlinear systems
• Non-strict-feedback
• Time-delay
• Lyapunov-Krasovskii functional

An adaptive tracking control is investigated for a class of nonstrict-feedback nonlinear systems with time delays subject to input saturation nonlinearity and output constraint. First, the Gaussian error function is used to express the continuous differentiable asymmetric saturation model, and a barrier Lyapunov function is designed to ensure that the output parameters are restricted. Then, an appropriate Lyapunov-Krasovskii functional is chosen to deal with the unknown time-delay terms, and the neural network is used to model the unknown nonlinearities. Finally, based on Lyapunov stability theory, an adaptive neural controller is designed to establish the closed-loop system stability. The example is provided to further illustrate the effectiveness and applicability of the proposed approach.

• 出版日期2018-9
• 单位华南理工大学