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Optimal real-time control for dynamical systems under uncertainty
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Author(s) |
R. Gabasov, F.M. Kirillova |
Abstract |
The synthesis problem for optimal control systems
in the class of discrete control functions is under consideration.
The problem is investigated by reducing to a linear programming
(LP) problem with consequent use of dynamic version of the
adaptive method of LP (Gabasov et al, 2000). Both perfect and
imperfect information on behavior of the control system cases
are studied. Methods and algorithms of operating the optimal
controller, optimal estimators are described. For control system
under uncertainty algorithms are obtained according to the
principle of on-line control i.e optimal feedbacks to the systems
are not constructed beforehand, their current values are supposed
to be calculated in the course of control processes at every current
moment and position or output. Results of computer experiments
are given. |
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Filename: | 206 |
Filesize: | 224.8 KB |
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Type |
Members Only |
Date |
Last modified 2006-02-07 by System |
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