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In this paper, a self-tuning decentralized PID controller is developed to multivariable and nonlinear systems, using just-in-time learning (JITL) technique. From the online process data, JITL provides a set of linear models, by which the parameters of PID controllers are adjusted by a self-tuning algorithm derived from the Lyapunov method such that the predicted tracking error converges asymptotically...
In this paper, an adaptive IMC controller using just-in-time learning (JITL) technique for nonlinear process control is proposed. Based on a set of linear models obtained on-line by the JITL, not only the parameters of IMC controller are updated, but also IMC filter parameter is adjusted on-line by an updating algorithm derived based on the Lyapunov method to guarantee the convergence of JITL's predicted...
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