Time-varying low-gain integral control strategies are presented for asymptotic tracking of constant reference signals in the context of exponentially stable, wellposed, linear, infinite-dimensional, single-input-single-output, systems-subject to globally Lipschitz, nondecreasing input and output non
Adaptive low-gain integral control of linear systems with input and output nonlinearities
β Scribed by T. Fliegner; H. Logemann; E.P. Ryan
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 156 KB
- Volume
- 44
- Category
- Article
- ISSN
- 0167-6911
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β¦ Synopsis
An adaptive low-gain integral control framework is developed for tracking constant reference signals in a context of ΓΏnite-dimensional, exponentially stable, single-input, single-output linear systems with positive steady-state gain and subject to locally Lipschitz, monotone input and output nonlinearities of a general nature: the input nonlinearity is required to satisfy an asymptotic growth condition (of su cient generality to accommodate nonlinearities ranging from saturation to exponential growth) and the output nonlinearity is required to satisfy a sector constraint in those cases wherein the input nonlinearity is unbounded.
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