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Exponential dissipativeness of the random-structure diffusion processes and problems of robust stabilization. (English. Russian original) Zbl 1146.93038

Autom. Remote Control 68, No. 10, 1852-1870 (2007); translation from Avtom. Telemekh. 2007, No. 10, 134-154 (2007).
Summary: Consideration was given to the class of systems described by a finite set of the controllable control-affine diffusion Itô processes with stepwise transitions defined by the evolution of the uniform Markov chain (Markov switchings). For these systems, the notion of exponential dissipativity was introduced, and its theory was developed and used to estimate the possible variations of the output feedback law under which the system retains its robust stability. For the set of linear systems with uncertain parameters, there was proposed a two-step procedure to determine the output feedback control based on comparison with the stochastic model and providing their simultaneous robust stabilization. At the first step, the robust stabilizing control is established by means of an iterative algorithm. Then, the possible variations of the feedback law for which the robust stability is retained are estimated by solving a system of matrix linear inequalities. An example was presented.

MSC:

93D21 Adaptive or robust stabilization
60J20 Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.)
93B52 Feedback control
93E03 Stochastic systems in control theory (general)
Full Text: DOI

References:

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