<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The problem of multi-objective robust feedback linearization controller design of nonlinear system with parametric uncertainties is solved in this paper. The main objective of this paper is to propose an optimal technique to design a robust feedback linearization controller with multi-objective genetic algorithm. A nonlinear system is considered as a benchmark and feedback linearization controller is designed for deterministic and probabilistic model of the benchmark. Three and four conflicting objective functions are used in Pareto design of feedback linearization controller for deterministic and probabilistic design, respectively. The simulation results reveal the effectiveness of the proposed method.</p>
</abstract>

The problem of multi-objective robust feedback linearization controller design of nonlinear system with parametric uncertainties is solved in this paper. The main objective of this paper is to propose an optimal technique to design a robust feedback linearization controller with multi-objective genetic algorithm. A nonlinear system is considered as a benchmark and feedback linearization controller is designed for deterministic and probabilistic model of the benchmark. Three and four conflicting objective functions are used in Pareto design of feedback linearization controller for deterministic and probabilistic design, respectively. The simulation results reveal the effectiveness of the proposed method.

Pareto Optimal Robust Feedback Linearization Control Of A Nonlinear System With Parametric Uncertainties

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The problem of multi-objective robust feedback linearization controller design of nonlinear system with parametric uncertainties is solved in this paper. The...

Pareto Optimal Robust Feedback Linearization Control Of A Nonlinear System With Parametric Uncertainties

Pubblicato online: 01 mar 2014

Pagine: 214 - 237

Ricevuto: 05 dic 2014

Accettato: 17 feb 2014

DOI: https://doi.org/10.21307/ijssis-2017-653

© 2014 A. Hajiloo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.