Optimization Strategies in Adaptive Control: A Selective Survey
- 1 January 1975
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. SMC-5 (1) , 83-94
- https://doi.org/10.1109/tsmc.1975.5409158
Abstract
A great number of techniques have been applied to the general problem of adaptive control. What began as a study of engineering adaptive control problems involving dynamics, system and measurement noise, monitoring, transduction, and on-line instrumentation seems to have moved towards learning theory and methodology research that uses a refined plant/environment model as a vehicle of demonstration. An attempt is made to bring together, order, and briefly discuss many contributions in this field, bridging the era of earlier engineering practice to more recent artificial intelligence speculation. Both unimodal and multimodal strategies are discussed, together with problems arising in nonstationary environmental situations where information conservation, update, and retrieval are of considerable importance. Methods discussed include gradient, correlation, random, stochastic automata, fuzzy automata, pattern recognition, and mixed strategies. A selected reference list is provided.Keywords
This publication has 33 references indexed in Scilit:
- A Survey of Heuristic Search Method of Multimodal Optimum PointPublished by Springer Nature ,1974
- A Heuristic Method for Finding Most Extrema of a Nonlinear FunctionalIEEE Transactions on Systems, Man, and Cybernetics, 1973
- A Search Technique for Multimodal SurfacesIEEE Transactions on Systems Science and Cybernetics, 1969
- On the Choice of Design in Stochastic Approximation MethodsThe Annals of Mathematical Statistics, 1968
- Simulation study of a two-derivative hill climberElectronics Letters, 1967
- Simultaneous estimation of first and second derivatives of a cost functionElectronics Letters, 1966
- A variable structure automaton used as a multimodal searching techniqueIEEE Transactions on Automatic Control, 1966
- A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of NoiseJournal of Basic Engineering, 1964
- Random search techniques for optimization problemsAutomatica, 1963
- A Discussion of Random Methods for Seeking MaximaOperations Research, 1958