Abstract
Abstract In this study, we propose a dual-mode finite-time extremum seeking control system for the solution of real-time optimization problems for a class of unknown nonlinear dynamical systems. The technique provides fast convergence of the closed-loop to the optimum of a measured objective function in the absence of exact knowledge of the process dynamics. The finite-time approach provides a control system suitable for a large class of process control problems where exact models are not available. A simulation study is presented to demonstrate the effectiveness of the technique.
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