Title :
Adaptive observer for multiple-input-multiple-output (MIMO) linear time-varying systems
Author_Institution :
IRISA, Rennes, France
fDate :
3/1/2002 12:00:00 AM
Abstract :
For joint state-parameter estimation in linear time-varying (LTV) multiple-input-multiple-output (MIMO) systems, an approach to the design of adaptive observers is proposed. It is conceptually simple and computationally efficient. Its global exponential convergence is established for noise-free systems. In the presence of noises, it is proved that the estimation errors are bounded and converge in the mean to zero if the noises are bounded and have zero means. Potential applications are fault detection and isolation, and adaptive control
Keywords :
MIMO systems; continuous time systems; convergence; linear systems; matrix algebra; observers; parameter estimation; time-varying systems; MIMO systems; adaptive control; adaptive observer; estimation errors; fault detection and isolation; global exponential convergence; joint state-parameter estimation; multiple-input-multiple-output linear time-varying systems; noise-free systems; Automatic control; Control systems; Eigenvalues and eigenfunctions; Interconnected systems; MIMO; State feedback; Time varying systems;
Journal_Title :
Automatic Control, IEEE Transactions on