Adaptive control by predictive identification and optimization
- 1 April 1967
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Automatic Control
- Vol. 12 (2) , 191-194
- https://doi.org/10.1109/tac.1967.1098528
Abstract
A model-reference adaptive control system is described where extrapolation techniques are used for identification and for error-prediction at discrete time intervals. The system employs rectangular adaptation pulses of finite duration to minimize a cost-functional of predicted square errors. Weighted squares of the error rate-of-change are included in the cost-functional to be minimized and a number of constraints are considered. Simulation resuits for systems consisting of linear, time-varying, and nonlinear second- to fifth-order processes with linear second-order reference-models are given, where satisfactory adaptation is accomplished.Keywords
This publication has 2 references indexed in Scilit:
- Adaptive control system utilising sampling techniques and Aitken's approximationElectronics Letters, 1965
- Generation and Use of Orthogonal Polynomials for Data-Fitting with a Digital ComputerJournal of the Society for Industrial and Applied Mathematics, 1957