Title :
A scaling approach to model validation in the μ-framework
Author :
Kumar, Arun ; Balas, Gary J.
Author_Institution :
Minnesota Univ., Minneapolis, MN, USA
Abstract :
This paper presents an approach to model-validation of multivariable systems using the structured singular value. The problem is discussed as that of consistency of the system equations given input/output data and norm bounded perturbation sets. A scaling approach is devised to iteratively compute the least conservative perturbation weights needed to validate a model and an example is presented
Keywords :
iterative methods; multivariable systems; perturbation techniques; singular value decomposition; μ-framework; bounded perturbation sets; consistency; iterative method; model validation; multivariable systems; scaling approach; structured singular value; 1f noise; Additive noise; Equations; Feedback; Predictive models; Robust control; Sensor phenomena and characterization; Stability; System identification; Uncertainty;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529339
