On model reference adaptive control and dynamic model reduction
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abstract
The dynamic model reduction and adaptive control (DMRAC) scheme opens a new set of options for the analysis and design of adaptive systems which are usually based on Lyapunov's method and Popov's hyperstability approach. Two cases are analyzed: the first is when the dimensions of the plant and the model agree; the second is when the plant dimension is larger than the model dimension. In both cases the constraint of strictly positive realness for the plant is not required to reach a feasible controller. Outstanding regulation and model-tracking performance have been obtained in simulation and verified through analysis.<>
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Proceedings. 5th IEEE International Symposium on Intelligent Control 1990