Adaptive Critic Designs: A Case Study for Neurocontrol
Abstract
For the first time, different adaptive critic designs (ACDs), a conventional proportional integral derivative (PID) regulator and backpropagation of utility are compared for the same control problem-automatic aircraft landing. The original problem proved to contain little challenge since various conventional and neural network techniques had solved it very well. After the problem had been made much more difficult by a change of parameters, increasingly better performance was observed by going from the simplest ACD to more sophisticated designs, dual heuristic programming having been ranked best of all. This case study is of use in general intelligent control problems for it provides an example of the capabilities of different adaptive critic designs.
Recommended Citation
D. V. Prokhorov et al., "Adaptive Critic Designs: A Case Study for Neurocontrol," Neural Networks, vol. 8, no. 9, pp. 1367 - 1372, Elsevier, Jan 1995.
The definitive version is available at https://doi.org/10.1016/0893-6080(95)00042-9
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
0893-6080
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 1995 Elsevier, All rights reserved.
Publication Date
01 Jan 1995
