Controller Identification for Control of Nonlinear Systems
Alexandre Molter and Fabricio Bandeira Cabral
1,2Department of Mathematics and Statistics, Federal University of Pelotas, Brazil
*Corresponding Author: Alexandre Molter, Department of Mathematics and Statistics, Federal University of Pelotas, Campus Universitário, Pelotas, RS, Brazil.
Received:
August 14, 2022; Published: September 26, 2022
Abstract
Control of nonlinear systems has attracted attention of researchers for decades. In this work we applied the control identification technique to control nonlinear systems. This technique evaluates controllers even when they are not online. The knowledge of the plant parameters are not a priori required. We use exponentially weighted performance criteria. Simulation results are presented to analyze the effect of the discount factor for the control of the systems.
Keywords: Nonlinear Systems; Controller Identification Technique; Exponentially Weighted Performance; Discount Factor and
Control; Algorithm
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