V. Havlena, J. Pekař, and J. Štecha (Czech Republic)
Model-based predictive control, adaptive control, kalman filter, state estimation, mixture distribution
The paper presents model-based predictive controller de sign based on a mixture distribution, i.e. a set of parallel models with given probabilities of individual models. Using on-line estimation of model probabilities, safe adap tation of the controller to different operating conditions is achieved.
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