1. Robust adaptive NN control for a class of uncertain discrete-time nonlinear MIMO systems.
- Author
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Cui, Yang, Liu, Yan-Jun, and Li, Dong-Juan
- Subjects
- *
ROBUST control , *ADAPTIVE control systems , *MIMO systems , *DISCRETE-time systems , *NONLINEAR functions , *PARAMETER estimation , *ERROR analysis in mathematics , *ARTIFICIAL neural networks - Abstract
A robust adaptive NN output feedback control is proposed to control a class of uncertain discrete-time nonlinear multi-input-multi-output (MIMO) systems. The high-order neural networks are utilized to approximate the unknown nonlinear functions in the systems. Compared with the previous research for discrete-time MIMO systems, robustness of the proposed adaptive algorithm is obvious improved. Using Lyapunov stability theorem, the results show all the signals in the closed-loop system are semi-globally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of zero by choosing the design parameters appropriately. [ABSTRACT FROM AUTHOR]
- Published
- 2013
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