Abstract
The main goal of this chapter is to illustrate the possibilities of the MP approach for a class of Min-Max Control Problems for uncertain systems described by a system of linear stochastic differential equations with a controlled drift and diffusion terms and unknown parameters within a given finite set. The problem belongs to the class of Min-Max Optimization Problems on a fixed finite horizon (where the cost function contains both an integral and a terminal term) and on an infinite one (the loss function is a time-averaged functional). The solution is based on the results on the Robust Stochastic Maximum Principle (RSMP) derived in the previous chapter. The construction of the Min-Max LQ optimal controller is shown to be reduced to a finite-dimensional optimization problem related to the solution of the Riccati equation parametrized by the weights to be found.
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References
Poznyak, A.S. (2008), Advanced Mathematical Tools for Automatic Control Engineers, Vol. 1: Deterministic Technique, Elsevier, Amsterdam.
Willems, J.C. (1971), ‘Least squares optimal control and algebraic Riccati equations’, IEEE Trans. Autom. Control 16(3), 621–634.
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Boltyanski, V.G., Poznyak, A.S. (2012). LQ-Stochastic Multimodel Control. In: The Robust Maximum Principle. Systems & Control: Foundations & Applications. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-0-8176-8152-4_16
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DOI: https://doi.org/10.1007/978-0-8176-8152-4_16
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-0-8176-8151-7
Online ISBN: 978-0-8176-8152-4
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