Neural adaptive control for uncertain nonlinear system with input saturation: State transformation based output feedback ?
Neural adaptive control is developed with prescribed ultimate and transient tracking performance. Gain selection technique is given with consideration of initial tracking and estimation errors based on invariant set theorem. Direct neural adaptive control is developed to avoid the problem of explosion of complexity in backstepping design methodology. State and output feedback control schemes are all given.
neural adaptive control nonlinear system actuator saturation sliding-mode observer