DEVELOPMENT OF A COMPOSITE IDENTIFICATION AND CONTROL FUNCTIONAL FOR A MULTIVARIABLE ADAPTIVE SYSTEM

Abstract

A structurally constrained discrete state space model is employed as the basis in the development of an identification and control procedure. System excitation is conditioned in accordance with a restricted minimization of a composite cost functional embodying a compromise legitimizing simultaneous identification and control. Alternative scalar measures of the system identified parametric transition matrices are combined with a state quadratic control measure in the composite cost, and an investigation of the effect of a scalar weighting in the functional (offsetting identification with control) considered. Tabular and graphical results are presented covering the likely range of the proposed systems applicability.

Citation

McCORKELL, C. and SWANICK, B.H. (1975), "DEVELOPMENT OF A COMPOSITE IDENTIFICATION AND CONTROL FUNCTIONAL FOR A MULTIVARIABLE ADAPTIVE SYSTEM", Kybernetes, Vol. 4 No. 2, pp. 57-95. https://doi.org/10.1108/eb005383