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Multirate adaptive robust control for discrete-time non-minimum phase systems and application to linear motors

โœ Scribed by Fujimoto, H.; Bin Yao


Book ID
117923960
Publisher
IEEE
Year
2005
Tongue
English
Weight
287 KB
Volume
10
Category
Article
ISSN
1083-4435

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๐Ÿ“œ SIMILAR VOLUMES


ROBUST ADAPTIVE CONTROL OF MINIMUM PHASE
โœ TOR A. JOHANSEN; PETROS A. IOANNOU ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 880 KB

We show that an adaptive input/output feedback linearization control scheme for minimum phase nonlinear systems is robust with respect to unstructured plant uncertainties such as unmodelled dynamics and disturbances provided that the adaptive law is modified in the same fashion as for linear systems

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โœ Meryem Makoudi; Larbi Radouane ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 262 KB

In this paper, we present an indirect model reference adaptive control for SISO non-minimum phase systems with unknown or time-varying time delay. The parameter estimation scheme is a combined adaptive data "ltering with a recursive least-squares algorithm with parameter projection and signal normal

An indirect adaptive control for fully f
โœ M. Reza Rokui; K. Khorasani ๐Ÿ“‚ Article ๐Ÿ“… 1997 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 274 KB ๐Ÿ‘ 2 views

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