Dead-zone Compensation with Backstepping Control in Discrete-Time Nonlinear Systems Using Neural Networks
نویسندگان
چکیده
A compensation scheme is presented to compensate the effect of dead-zone nonlinearity in a class of uncertain discrete-time nonlinear systems. Chebyshev Neural Network (CNN) is utilized to compensate the dead-zone nonlinearity and the unknown nonlinear functions are also approximated. The control design is attained by introducing dead-zone nonlinearity and using it in the controller design with backstepping technique. Rigorous proofs of closed loop stability for the dead zone compensator are provided which yield tuning algorithm for the weights of both the Neural Networks (NNs). The technique provides a general procedure to guarantee Uniform Ultimate Boundedness (UUB) for all signals in closed loop system.
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