Mixture‐based adaptive probabilistic control
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Publication:4707169
DOI10.1002/acs.742zbMath1019.93028OpenAlexW2043102419MaRDI QIDQ4707169
Tatiana Valentine Guy, Josef Böhm, Petr Nedoma, Miroslav Kárný
Publication date: 10 June 2003
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.742
Reliability, availability, maintenance, inspection in operations research (90B25) Adaptive control/observation systems (93C40) Identification in stochastic control theory (93E12)
Related Items (5)
Recursive estimation of high-order Markov chains: approximation by finite mixtures ⋮ Fault detection and diagnosis for stochastic systems via output PDFs ⋮ Robust estimation of autoregressive processes using a mixture-based filter-bank ⋮ Fully probabilistic control design ⋮ Observer-based optimal fault detection using pdfs for time-delay stochastic systems
Cites Work
- Towards fully probabilistic control design
- Stochastic adaptive control using multiple models for improved performance in the presence of random disturbances
- On a general concept of forgetting
- Design and analysis of gain-scheduled control using local controller networks
- Mixed-data multi-modelling for fault detection and isolation
- Probabilistic advisory systems for data‐intensive applications
- Lyapunov-based switching supervisory control of nonlinear uncertain systems
- Supervisory control of families of linear set-point controllers - Part I. Exact matching
- On Information and Sufficiency
- Inference of candidate loop performance and data filtering for switching supervisory control
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