TY - GEN
T1 - Structured controller design using evolution strategies
T2 - International Symposium on Industrial Electronics 2006, ISIE 2006
AU - Wong, Tony
AU - De Kelper, Bruno
AU - Bigras, Pascal
PY - 2006
Y1 - 2006
N2 - A set of evolution strategies is implemented in order to find the optimal tuning of a structured controller. The structured controller design problem is a non-convex optimization problem. The usual solution technique involves the use of the expansive branch and bound global search algorithm. Results based on the Kruskal-Wallis statistic and Dunn-Sidák post test showed that the evolution strategies were able to find the global optimum with comparable solution quality, less overhead and considerable gain in computation time. Surprisingly, statistical tests revealed that the simple two member evolution strategy's performance is not significantly different from other evolution strategies.
AB - A set of evolution strategies is implemented in order to find the optimal tuning of a structured controller. The structured controller design problem is a non-convex optimization problem. The usual solution technique involves the use of the expansive branch and bound global search algorithm. Results based on the Kruskal-Wallis statistic and Dunn-Sidák post test showed that the evolution strategies were able to find the global optimum with comparable solution quality, less overhead and considerable gain in computation time. Surprisingly, statistical tests revealed that the simple two member evolution strategy's performance is not significantly different from other evolution strategies.
UR - https://www.scopus.com/pages/publications/53849134470
U2 - 10.1109/ISIE.2006.296091
DO - 10.1109/ISIE.2006.296091
M3 - Contribution to conference proceedings
AN - SCOPUS:53849134470
SN - 1424404975
SN - 9781424404971
T3 - IEEE International Symposium on Industrial Electronics
SP - 2984
EP - 2989
BT - International Symposium on Industrial Electronics 2006, ISIE 2006
Y2 - 9 July 2006 through 13 July 2006
ER -