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Parametric LQ control. (English) Zbl 0568.93071

The problem considered can be described as follows: For a given linear discrete-time stochastic system determine the linear output feedback from the class of stabilizing feedback gain matrices which minimizes a stationary quadratic criterion. In short, this is what is called a parametric linear quadratic (PLQ) control problem. Some linear and nonlinear descent mapping algorithms for efficiently solving the PLQ problem are introduced and analyzed. Results on their global convergence and their rate of convergence are presented. A numerical example illustrating the PLQ design of low-order controllers for a chemical reactor system is also presented.
Reviewer: P.Stoica

MSC:

93E20 Optimal stochastic control
90C99 Mathematical programming
93E25 Computational methods in stochastic control (MSC2010)
93D15 Stabilization of systems by feedback
93C05 Linear systems in control theory
93C55 Discrete-time control/observation systems
93E03 Stochastic systems in control theory (general)
Full Text: DOI

References:

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