Keywords and Phrases
Adaptive Control; Control Hedging; Convex Optimization; Linear Matrix Inequalities; Lyapunov; Validation And Verification
"Linear matrix inequalities and convex optimization techniques have become popular tools to solve nontrivial problems in the field of adaptive control. Specifically, the stability of adaptive control laws in the presence of actuator dynamics remains as an important open control problem. In this thesis, we present a linear matrix inequalities-based hedging approach and evaluate it for model reference adaptive control of an uncertain dynamical system in the presence of actuator dynamics. The ideal reference dynamics are modified such that the hedging approach allows the correct adaptation without being hindered by the presence of actuator dynamics. The hedging approach is first generalized such that two cases are considered where the actuator output and control effectiveness are known and unknown. We then show the stability of the closed-loop dynamical system using Lyapunov based stability analysis tools and propose a linear matrix inequality-based framework for the computation of the minimum allowable actuator bandwidth limits such that the closed-loop dynamical system remains stable.
The results of the linear matrix inequality-based heading approach are then generalized to multiactuator systems with a new linear matrix inequality condition. The minimum actuator bandwidth solutions for closed-loop system stability are theoretically guaranteed to exist in a convex set with a partially convex constraint and then solved numerically using an algorithm in the case where there are multiple actuators. Finally, the efficacy of the results contained in this thesis are demonstrated using several illustrative numerical examples"--Abstract, page iii.
Landers, Robert G.
Mechanical and Aerospace Engineering
M.S. in Mechanical Engineering
Universal Technology Corporation
Missouri University of Science and Technology
ix, 60 pages
© 2016 Daniel Robert Wagner, All rights reserved.
Creative Commons Licensing
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Thesis - Open Access
Adaptive control systems
Electronic OCLC #
Wagner, Daniel Robert, "A linear matrix inequality-based approach for the computation of actuator bandwidth limits in adaptive control" (2016). Masters Theses. 7572.