Abstract
A suboptimal dual controller is presented for a class of linear systems with unknown and randomly varying parameters. This work concerns a refinement of an existent suboptimal dual controller for discrete-time systems. The loss function that is minimized contains two parts. The first part is the variance of the output one step ahead of time, and the second part is a function of the covariance matrix of the parameter estimates. The idea is to add simple terms depending on the covariance matrix of the parameter estimates two steps ahead. An algorithm is used for the adaptive adjustment of the adjustable parameter lambda, for each step of the way. The behavior of the proposed controller is evaluated through a Monte Carlo simulations method by three examples.
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Reis, A.J.S., Maitelli, A.L. An Adaptive Suboptimal Control Algorithm with Variable Design Parameter for Systems with Stochastic Parameters. J Control Autom Electr Syst 26, 215–224 (2015). https://doi.org/10.1007/s40313-015-0176-4
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DOI: https://doi.org/10.1007/s40313-015-0176-4