Verifiable Adaptive Control with Analytical Stability Margins by Optimal Control Modification
Author(s) -
Nhan T. Nguyen
Publication year - 2010
Publication title -
aiaa guidance, navigation and control conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2010-7770
Subject(s) - verifiable secret sharing , computer science , control (management) , stability (learning theory) , adaptive control , control theory (sociology) , optimal control , mathematical optimization , mathematics , artificial intelligence , set (abstract data type) , machine learning , programming language
This paper presents a verifiable model-reference adaptive control method based on an optimal control formulation for linear uncertain systems. A predictor model is formulated to enable a parameter estimation of the system parametric uncertainty. The adaptation is based on both the tracking error and predictor error. Using a singular perturbation argument, it can be shown that the closed-loop system tends to a linear time invariant model asymptotically under an assumption of fast adaptation. A stability margin analysis is given to estimate a lower bound of the time delay margin using a matrix measure method. Using this analytical method, the free design parameter n of the optimal control modification adaptive law can be determined to meet a specification of stability margin for verification purposes.
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