𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Model reference adaptive control with unknown relative degree

✍ Scribed by Rubén G. Moctezuma; Rogelio Lozano; Dionisio A. Suárez


Publisher
John Wiley and Sons
Year
1993
Tongue
English
Weight
670 KB
Volume
7
Category
Article
ISSN
0890-6327

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

This work presents an indirect, model reference adaptive control for minimum phase linear systems of arbitrary relative degree. Global stability of the closed‐loop system is proved in spite of bounded disturbances and asympotic tracking is achieved in the ideal case.


📜 SIMILAR VOLUMES


Model reference adaptive control with un
✍ Rogelio Lozano; Rubén G. Moctezuma 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 443 KB

This paper presents an indirect model reference adaptive control for minimum phase linear systems of arbitrary order with unknown high frequency gain sign. It is proved that the (modified) estimate of the high frequency gain has a uniform positive lower bound. The problem has been solved by using th

A design of model reference adaptive con
✍ Hideki Okuno; Wataru Kase 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 272 KB 👁 3 views

Recently, a design of model matching and adaptive control systems under the presence of measurement noise employing a nonminimal order state observer was reported. But this method cannot be used for the case where the plant has deterministic disturbances. In this paper, we will show that the idea is

Model-reference adaptive control system
✍ Robert M. Casciano; H. Kenneth Staffin 📂 Article 📅 1967 🏛 American Institute of Chemical Engineers 🌐 English ⚖ 619 KB
Variable structure model reference adapt
✍ Gang Feng 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 436 KB 👁 2 views

A new variable structure model reference adaptive control scheme with integration is proposed to achieve robustness to modelling uncertainties in this paper. A key feature of this scheme is that the knowledge of neither the parameters of the upper bounding function on the modelling uncertainties nor

Direct fuzzy model-reference adaptive co
✍ Igor Škrjanc; Sašo Blažič; Drago Matko 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 223 KB

Intelligent systems may be viewed as a framework for solving the problems of nonlinear system control. The intelligence of the system in the nonlinear or changing environment is used to recognize in which environment the system currently resides and to service it appropriately. This paper presents a