Robust LQ Optimal Control by Statistical Learning Theory

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03099433" target="_blank" >RIV/68407700:21230/04:03099433 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Robust LQ Optimal Control by Statistical Learning Theory

Original language description

The Monte Carlo approach is used in this paper to solve optimal control problem of an uncertain system - robust control problem. The Monte Carlo approach uses samples of unknown variables. This approach enables to solve the minimization problem and the mean value computation of the chosen criterion. For nonlinear uncertain systems there is no general analytical method how to solve the optimal control problem and our approach gives the solution with prescribed accuracy. In this paper LQ (Linear system, Quadratic criterion) robust optimal control problem and predictive control of uncertain system is solved.

Czech name

Není k dispozici

Czech description

Není k dispozici

Type

A - Audiovisual production

CEP classification

BC - Theory and management systems

OECD FORD branch

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Project

<a href="/en/project/GD102%2F03%2FH116" target="_blank" >GD102/03/H116: TALENT - coordinated education of Ph. D. students in control engineering and robotics</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

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Place of publication

Kyoto

Publisher/client name

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Version

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Carrier ID

neuvedeno