Zobrazit v EDS

Optimal adaptive control systems for devices having delay

Uloženo v:
Podrobná bibliografie
Název: Optimal adaptive control systems for devices having delay
Autoři: Tsypkin, Ya. Z.
Informace o vydavateli: Springer US, New York, NY; Pleiades Publishing, New York, NY; MAIK ``Nauka/Interperiodica'', Moscow
Témata: Discrete-time control/observation systems, Computational methods in stochastic control, Adaptive control/observation systems, extended squared-error criterion, optimal predictor structures, Optimal stochastic control, adaptive discrete control algorithm, Existence of optimal solutions to problems involving randomness
Popis: It is argued that convergence cannot characterize the quality of the adaptation algorithms and thus digital modelling plays a major role by allowing an adaptive control algorithm to be compared with various adaptation algorithms. Optimal adaptation algorithms have the highest possible rate of convergence which is valid to evaluate their quality. A general approach to solving the problem of synthesizing an adaptive discrete control algorithm is presented in the paper involving an extended squared-error criterion and optimal predictor structures. Optimal adaptation algorithms are established and their properties and differences are explained.
Druh dokumentu: Article
Popis souboru: application/xml
Přístupová URL adresa: https://zbmath.org/4008212
Přístupové číslo: edsair.c2b0b933574d..cbf6d1ef88b5a861a10726d0738eb25b
Databáze: OpenAIRE
Popis
Abstrakt:It is argued that convergence cannot characterize the quality of the adaptation algorithms and thus digital modelling plays a major role by allowing an adaptive control algorithm to be compared with various adaptation algorithms. Optimal adaptation algorithms have the highest possible rate of convergence which is valid to evaluate their quality. A general approach to solving the problem of synthesizing an adaptive discrete control algorithm is presented in the paper involving an extended squared-error criterion and optimal predictor structures. Optimal adaptation algorithms are established and their properties and differences are explained.