Abstract
Two model-based methods for extremum control are treated. The models consist of a dynamic linear part and a static nonlinearity which can be placed either at the input or at the output. It is shown that models with an input nonlinearity are easier to handle, but may give poor adaptive control laws. With a nonlinearity at the output, the optimal control law is dual, even if the system parameters are known. A way of rewriting this latter model is suggested to facilitate the use of parameter identification.
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© 1980 Springer-Verlag
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Sternby, J. (1980). Adaptive control of extremum systems. In: Unbehauen, H. (eds) Methods and Applications in Adaptive Control. Lecture Notes in Control and Information Sciences, vol 24. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0003263
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DOI: https://doi.org/10.1007/BFb0003263
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