Doctoral Dissertations

Keywords and Phrases

Adaptive control; Finite-time; Nonlinear reference model; Optimal control

Abstract

"This research starts with designing optimal control for uncertain systems, adding the adaptive control input to suppress the uncertainty. It then follows with designing the optimal control for state constraint, designing the optimal nonlinear reference model, designing adaptive control to handle state constraint and uncertainty. Finally, it designs the finite-time controller for uncertain multiagent systems.

It is well known that the design of the control algorithm for an uncertain dynamical system is not trivial. Motivated by this standpoint, this study focuses on optimal and adaptive control approaches with stability and performance guarantees for uncertain sole and multiagent dynamical systems. From the different perspectives of the controller design, designing the proper control input with the optimal method and suppressing the uncertain part with adaptive control are considered. An adaptive guidance/control method is also presented that has the capability to land the aircraft safely once a fault has occurred. Then, the extension of optimal control with state constraint is considered based inverse optimal control formulation with a set-theoretic barrier Lyapunov function (STBLF). The optimal nonlinear reference model with the $\Theta$-D method is also proposed since linear reference model may not provide desired behavior of these systems. Another challenge in state constraint problems is that the dynamical system also has uncertainty. To solve both state constraint and uncertainty problems together, a new set-theoretic model reference adaptive control is further proposed with an adaptive control approach for uncertain nonlinear systems. Finally, the nonlinear reference model is proposed for multiagent systems with finite-time stability guarantees using a distributed adaptive control approach.

To conclude, the proposed new optimal and adaptive control methods are introduced with stability analysis using the optimal solution and Lyapunov stability. The efficacy of the proposed methods is further demonstrated with illustrative numerical and experimental results"--Abstract, p. iv

Advisor(s)

Balakrishnan, S. N.
Yucelen, Tansel

Committee Member(s)

Krishnamurthy, K.
Bristow, Douglas A.
Sarangapani, Jagannathan
Dogan, K. Merve

Department(s)

Mechanical and Aerospace Engineering

Degree Name

Ph. D. in Mechanical Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2022

Pagination

xii, 160 pages

Note about bibliography

Includes_bibliographical_references_(pages 150-159)

Rights

© 2022 Meryem Deniz, All Rights Reserved

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 12275

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