In this paper we present an adaptive output feedback controller for feedback linearizable non-linear systems. It employs a high-gain observer with estimate saturation which is crucial in achieving semiglobal asymptotic stabilization to the origin and, if the regressor vector is persistently exciting
Indirect adaptive state feedback control of linearly parametrized non-linear systems
โ Scribed by G. Campion; G. Bastin
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 676 KB
- Volume
- 4
- Category
- Article
- ISSN
- 0890-6327
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โฆ Synopsis
Two indirect adaptive linearizing controllers are proposed, in continuous time, for the class of non-linear systems which are linearly parametrized and which can be linearized by state feedback through a parametrized diffeomorphism. In each case the stability of the closed loop is analysed in detail. It is also shown how these control laws can be extended to related situations, i.e. input-output feedback linearization and non-linear parametrizations.
๐ SIMILAR VOLUMES
An indirect adaptive control for a discrete-time non-linear system that is fully input-output linearizable is developed. The unknown parameters of the system are identified by using a multi-output RLS algorithm. Based on the certainty equivalence principle, the estimated parameters are then utilized