A Performance Analysis of Two Approximate Adaptive Designs.
IEEE Transactions on Neural Networks, 16, (3), .
The performance of function approximator based adaptive control designs may scale badly with approximator dimension . For a simple system class, both projection based designs and multi-resolution approximation based designs have been shown to have good scaling properties w.r.t. to LQ costs. Here we show that by considering a cost functional with penalties on the control rate, the multi-resolution approximatior based design can outperform the projection based design. Generalisations are briefly discussed.
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