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              <p>In the last few years there has been a great deal of interest in the application of adaptive and supervisory control of linear systems using multi-models and multi-controllers based on switching and tuning algorithms. In this paper a supervisory control methodology based on a closed-loop adaptive control approach is developed for nonlinear systems and evaluated in a simulation of a nonlinear continuous stirred tank reactor (CSTR) process for two scenarios according to different set-point variations. The simulation results show the effectiveness in terms of performance and robustness characteristics of the proposed method.</p>
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