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Adaptive Low-Gain Integral Control of Linear Systems with Input and Output Nonlinearities (2008)

Abstract
An adaptive low-gain integral control framework is developed for tracking constant reference signals in a context of finite-dimensional, asymptotically stable, single-input, single-output linear systems 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 sufficient 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.

Publication details
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.8804
Source ftp://ftp.maths.bath.ac.uk/pub/preprints/maths0017.ps.gz
Contributors CiteSeerX
Repository CiteSeerX - Scientific Literature Digital Library and Search Engine (United States)
Keywords input/output nonlinearities, integral control, servomechanisms, tracking
Type text
Language English
Relation 10.1.1.29.6503, 10.1.1.7.9152, 10.1.1.42.6335, 10.1.1.34.730, 10.1.1.42.3820