TY - GEN
T1 - Design of adaptive laws for discrete-time systems based on Particle Swarm Optimization
AU - Ordóñez-Hurtado, Rodrigo H.
AU - Duarte-Mermoud, Manuel A.
PY - 2011
Y1 - 2011
N2 - A wide variety of linear/nonlinear adaptive systems in continuous/discrete time can be represented by error models, thus facilitating their analysis. The solution obtained for a given error model can be applied to different systems represented by the error model. This paper presents a methodology for adjusting the parameters of a discrete-time adaptive system represented by a Type 1 Error Model, which is based on Particle Swarm Optimization (PSO) and that allows using it in on-line applications. The performance of the proposed methodology is compared with the traditional gradient and least squares methods through simulations.
AB - A wide variety of linear/nonlinear adaptive systems in continuous/discrete time can be represented by error models, thus facilitating their analysis. The solution obtained for a given error model can be applied to different systems represented by the error model. This paper presents a methodology for adjusting the parameters of a discrete-time adaptive system represented by a Type 1 Error Model, which is based on Particle Swarm Optimization (PSO) and that allows using it in on-line applications. The performance of the proposed methodology is compared with the traditional gradient and least squares methods through simulations.
UR - https://www.scopus.com/pages/publications/84858967047
U2 - 10.1109/ICCA.2011.6137974
DO - 10.1109/ICCA.2011.6137974
M3 - Conference contribution
AN - SCOPUS:84858967047
SN - 9781457714757
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 883
EP - 888
BT - 2011 9th IEEE International Conference on Control and Automation, ICCA 2011
T2 - 9th IEEE International Conference on Control and Automation, ICCA 2011
Y2 - 19 December 2011 through 21 December 2011
ER -