Towards an approach to stochastic adaptive control using the maximum entropy principle

DOI10.1080/00207729008910575zbMath0717.93064OpenAlexW2069109171MaRDI QIDQ5749222

Guy Jumaric

Publication date: 1990

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207729008910575

zbMATH Keywords

maximum entropy principleFokker- Plank-Kolmogorov equationnonlinear stochastic adaptive systems

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Optimal stochastic control (93E20)

Cites Work

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• The Fokker-Planck equation. Methods of solution and applications
• Stochastic processes and filtering theory
• Information Theory and Statistical Mechanics
• Adaptive control for time-varying systems: A combination of Martingale and Markov chain techniques
• Application of the robust and adaptive pole placement design technique
• Dual control of a first-order system with two possible gains
• Simple general method to analyse the moment stability and sensitivity of non-linear stochastic systems with or without delay
• Dual control of an integrator with unknown gain
• The adaptive LQG problem--Part I

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