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By introducing the approximators, an indirect adaptive control method is presented for the control of a class of nonlinear systems. The proposed scheme can overcome the drawbacks of existing adaptive nonlinear control techniques which can only control minimum phase nonlinear systems and may easily result in a large control effort. The stability of closed-loop system was proved, and the convergence...
A nonaffine discrete-time system represented by the nonlinear autoregressive moving average with eXogenous input (NARMAX) representation with unknown nonlinear system dynamics is considered. An equivalent affinelike representation in terms of the tracking error dynamics is first obtained from the original nonaffine nonlinear discrete-time system so that reinforcement-learning-based near-optimal neural...
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