Abstract
The use of multirate sampled-data controllers for linear multivariable time-invariant systems with unknown parameters is investigated. Such controllers contain periodically time-varying elements and a multirate sampling mechanism with different sampling periods at each system input. Their application to unknown continuous-time linear multi-input, multi-output systems results in a sampled closedloop system for which an arbitrary discrete-time transfer function matrix can be assigned, as is shown in the present paper. The contribution of the present paper is twofold: the use of multirate sampled-data controllers in the area of model reference adaptive control; and the application, for the first time, of periodically varying controllers for model reference adaptive control of multi-input, multi-output systems.
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Communicated by C. T. Leondes
The work described in this paper has been partialy funded by the General Secretariat for Research and Technology of the Greek Ministry of Industry, Research, and Technology and by the Heracles General Cement Company of Greece.
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Arvanitis, K.G., Paraskevopoulos, P.N. Discrete model reference adaptive control of continuous-time linear multi-input multi-output systems via multirate sampled-data controllers. J Optim Theory Appl 84, 471–493 (1995). https://doi.org/10.1007/BF02191981
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DOI: https://doi.org/10.1007/BF02191981