TY - GEN
T1 - Self-organizing fuzzy logic control for servo systems
AU - Tarn, J. H.
AU - Hsu, F. Y.
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - To enhance the performances of linear servo control system, a gain-scheduling-type nonlinear control strategy is utilized. And the controller structure of fuzzy linguistic control (FLC) is used as the infrastructure for organizing panoply of local linear controllers. To reach high performance goals, a learning scheme for automatically fine-tuning the fuzzy control rules is proposed. The method takes a computational approach to optimize prescribed performance evaluations. The training process utilizes simulation and/or experimental data and is guided by linguistic learning laws derived heuristically from the performance requirements.
AB - To enhance the performances of linear servo control system, a gain-scheduling-type nonlinear control strategy is utilized. And the controller structure of fuzzy linguistic control (FLC) is used as the infrastructure for organizing panoply of local linear controllers. To reach high performance goals, a learning scheme for automatically fine-tuning the fuzzy control rules is proposed. The method takes a computational approach to optimize prescribed performance evaluations. The training process utilizes simulation and/or experimental data and is guided by linguistic learning laws derived heuristically from the performance requirements.
UR - http://www.scopus.com/inward/record.url?scp=84960400840&partnerID=8YFLogxK
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U2 - 10.1109/ICSMC.1992.271608
DO - 10.1109/ICSMC.1992.271608
M3 - Conference contribution
AN - SCOPUS:84960400840
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1289
EP - 1296
BT - 1992 IEEE International Conference on Systems, Man, and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
Y2 - 18 October 1992 through 21 October 1992
ER -