DocumentCode :
2275283
Title :
Autonomous control hardware for real-time applications
Author :
Gardner, David ; Ashenayi, Kaveh ; Timmerman, Marc ; Shenoi, Sujeet
Author_Institution :
Center for Intelligent Syst., Tulsa Univ., OK, USA
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
962
Abstract :
A practical implementation in low-end hardware of an online adaptive fuzzy control algorithm is described. The controller starts with a vacuous initial control policy and learns to control unknown systems by autonomously undergoing adaptation in real-time. Limited system- and implementation-dependent information is incorporated in the adaptive algorithm. This information includes input and output signal magnitudes, quantization, delay time and response time parameters. Simulation and actual experimental results are presented for a prototype autonomous controller based on an inexpensive Intel 8031 hardware platform
Keywords :
adaptive control; delays; fuzzy control; quantisation (signal); real-time systems; I/O signal magnitudes; Intel 8031; autonomous control hardware; delay time; online adaptive fuzzy control; quantization; real-time system; response time; Adaptive algorithm; Adaptive control; Control systems; Delay effects; Fuzzy control; Hardware; Programmable control; Quantization; Real time systems; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343865
Filename :
343865
Link To Document :
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