TY - JOUR
T1 - Optimization of the Parameters of RISE Feedback Controller Using Genetic Algorithm
AU - Abu Khadra, Fayiz
AU - Abu Qudeiri, Jaber
AU - Alkahtani, Mohammed
N1 - Publisher Copyright:
© 2016 Fayiz Abu Khadra et al.
PY - 2016
Y1 - 2016
N2 - A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called "the robust integral of the sign of the error" (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of the optimized RISE controller in tracking task and its ability to ensure robustness with respect to bounded external disturbances.
AB - A control methodology based on a nonlinear control algorithm and optimization technique is presented in this paper. A controller called "the robust integral of the sign of the error" (in short, RISE) is applied to control chaotic systems. The optimum RISE controller parameters are obtained via genetic algorithm optimization techniques. RISE control methodology is implemented on two chaotic systems, namely, the Duffing-Holms and Van der Pol systems. Numerical simulations showed the good performance of the optimized RISE controller in tracking task and its ability to ensure robustness with respect to bounded external disturbances.
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U2 - 10.1155/2016/3863147
DO - 10.1155/2016/3863147
M3 - Article
AN - SCOPUS:84979753438
SN - 1024-123X
VL - 2016
JO - Mathematical Problems in Engineering
JF - Mathematical Problems in Engineering
M1 - 3863147
ER -