A Design of Adaptive Control Systems with Input Saturation

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This paper deals with model reference adaptive control problem for a linear single-input single-output time invariant continuous-time plant with input saturation. We propose an algorithm in which error feedback is effectively used and reference signal conditions are weakened. We have shown that globally asymptotic stability is guaranteed. Using this algorithm, we allow the adaptive system to have higher design flexibility than conventional ones. These results are confirmed by a simulation study.

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