Institute of Information Theory and Automation

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Publication details

Mixture-based adaptive probabilistic control

Journal Article

Kárný Miroslav, Böhm Josef, Guy Tatiana Valentine, Nedoma Petr

serial: International Journal of Adaptive Control and Signal Processing vol.17, 2 (2003), p. 119-132

research: CEZ:AV0Z1075907

project(s): IST-1999-12058, ProDaCTool, GA102/02/0204, GA ČR, GA102/00/P045, GA ČR

keywords: Bayesian identification, fully probabilistic control, finite mixtures

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abstract (eng):

The paper summarizes quasi-Bayes algorithm for mixture estimation combined with stabilized forgetting and fully probabilistic control design on the receding-horizon certainty equivalence principle strategy. The result is referred to as simultaneous design.

Cosati: 09I


2012-12-21 16:10