Robustness Of Adaptive Control Algorithms In The Presence Of Unmodeled Dynamics
Download Robustness Of Adaptive Control Algorithms In The Presence Of Unmodeled Dynamics full books in PDF, epub, and Kindle. Read online free Robustness Of Adaptive Control Algorithms In The Presence Of Unmodeled Dynamics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Robustness of Adaptive Control Algorithms in the Presence of Unmodeled Dynamics
Author | : Charles E. Rohrs |
Publisher | : |
Total Pages | : 18 |
Release | : 1982 |
Genre | : Adaptive control systems |
ISBN | : |
Download Robustness of Adaptive Control Algorithms in the Presence of Unmodeled Dynamics Book in PDF, Epub and Kindle
This paper reports the outcome of an exhaustive analytical and numerical investigation of stability and robustness properties of a wide class of adaptive control algorithms in the presence of unmodeled dynamics and output disturbances. The class of adaptive algorithms considered are those commonly referred to as model-reference adaptive control algorithms, self-tuning controllers, and dead-beat adaptive controllers; they have been developed for both continuous-time systems and discrete-time systems. The existing adaptive control algorithms have been proven to be globally asymptotically stable under certain assumptions, the key ones being (a) that the number of poles and zeroes of the unknown plant are known, and (b) that the primary performance criterion is related to good command following. These theoretical assumptions are too restrictive from an engineering point of view. Real plants always contain unmodeled high-frequency dynamics and small delays, and hence no upper bound on the number of the plant poles and zeroes exists. Also real plants are always subject to unmeasurable output additive disturbances, although these may be quite small. Hence, it is important to critically examine the stability robustness properties of the existing adaptive algorithms when some of the theoretical assumptions are removed; in particular, their stability and performance properties in the presence of unmodeled dynamics and output disturbances. (Author).
Robustness of Adaptive Control Algorithms in the Presence of Unmodeled Dynamics Related Books
Pages: 18
Pages: 27
Pages: 131
Pages: 402
Pages: 333