| [1] |
P. J. Gawthrop.
Robust stability of multi-loop continuous time self-tuning
controllers.
International Journal of Adaptive Control and Signal
Processing, 4(5):359--382, 1990.
[ bib |
DOI ]
The results of an earlier paper concerning global robustness of single-loop self-tuning controllers are extended to include multiple self-tuning controllers operating in a multiple-interacting-loop environment. The robust stability is shown to depend on the singular value loci of a certain transfer function matrix. The need for control weighting to ensure global robust stability is emphasized. Keywords: Adaptive control, Robust stability, Multivariable control |
| [2] | P. J. Gawthrop, H. Mirab, and X. Li. Robot model validation. Transactions of the Institute of Measurement and Control, 12(4):197--207, May 1990. [ bib ] |
| [3] | P. J. Gawthrop and P. E. Nomikos. Automatic tuning of commercial pid controllers for single-loop and multi-loop applications. IEEE Control Systems Magazine, 10(1):34--42, January 1990. [ bib | .pdf ] |
| [4] | P. J. Gawthrop, P. Nomikos, and L. Smith. Adaptive temperature control of industrial processes: A comparative survey. Proc. IEE Pt.D, 137(3):137--144, 1990. [ bib | .pdf ] |
| [5] |
P. J. Gawthrop and D. G. Sbarbaro.
Stochastic approximation and multilayer perceptrons: The gain
back-propagation algorithm.
Complex System Journal, 4:51--74, 1990.
[ bib ]
A standard general algorithm, the stochastic approximation algorithm of Albert and Gardner [1], is applied in a new context to compute the weights of a multilayer perceptron network. This leads to a new algorithm, the gain backpropagation algorithm, which is related to, but significantly different from, the standard backpropagation algorithm [2]. Some simulation examples show the potential and limitations of the proposed approach and provide comparisons with the conventional backpropagation algorithm. |
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