M. Novak and J. Böhm (Czech Republic)
Adaptive Control, Optimization, LQG controller
The proper work of model based controller such as LQG or GPC one depends on its right setting expressed by so called tuning knobs. It is often difficult to set these knobs well, mainly for nonexperts, especially in MIMO case where the number of knobs rapidly increases. Accurate tuning is hardly possible using trial and error method. The classical methods for controller settings can not be precise enough and it is expected the controller function can be improved considerably if they are better tuned. A stochastic opti mization method for tuning an adaptive LQG controller is applied for solving this problem.
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