Title :
Design of fuzzy controllers with local response neurons
Author :
Sitte, Joaquin ; Geva, Shlomo
Author_Institution :
Fac. of Inf. Technol., Queensland Univ. of Technol., Brisbane, Qld., Australia
Abstract :
The class of artificial neural networks made up of nodes that have a localised response in input space have functional similarities with fuzzy logic controllers. The localised response nodes can be interpreted as representing membership functions. Each node represents a fuzzy rule for a control action and the network interpolates between the fuzzy rules. We illustrate the process of building a fuzzy controller for the cart-pole experiment using a local response neural net based on clusters of neurones with sigmoidal transfer functions
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; transfer functions; artificial neural networks; cart-pole experiment; fuzzy controller design; interpolation; local response neurons; localised response; membership functions; neuron clusters; sigmoidal transfer functions; Artificial neural networks; Automatic control; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Neural networks; Neurons; Optimal control; Quantization; Space technology; Transfer functions;
Conference_Titel :
Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2129-4
DOI :
10.1109/ICSMC.1994.400149
