Title :
A new approach to adaptive observer design for MIMO systems
Author :
Zhang, Qinghua ; Delyon, Bernard
Author_Institution :
IRISA-INRIA, Rennes, France
Abstract :
The authors propose a novel approach to the design of adaptive observers for multi-input-multi-output (MIMO) systems. It guarantees global convergence for joint state and parameter estimation, provided some persistent excitation condition is satisfied. It is conceptually simple and computationally efficient. It can be applied to MIMO linear systems for online continuous-time system identification, fault detection and isolation, and adaptive control
Keywords :
MIMO systems; adaptive control; continuous time systems; identification; observers; parameter estimation; MIMO systems; adaptive control; adaptive observer design; fault detection; fault isolation; global convergence; joint state; multi-input-multi-output systems; online continuous time system identification; parameter estimation; persistent excitation condition; Adaptive control; Convergence; Equations; Fault detection; MIMO; Nonlinear systems; Observers; Parameter estimation; State estimation; Transfer functions;
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-6495-3
DOI :
10.1109/ACC.2001.945946
