ORCID Identifier(s)

0000-0002-5090-2104

Graduation Semester and Year

2022

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Electrical Engineering

Department

Electrical Engineering

First Advisor

Frank L Lewis

Second Advisor

Taha Ahmet Koru

Abstract

The cluster consensus problem of Multileader MAS Is considered and the clustering problem of interconnected multileader systems is formulated as a disturbance attenuation problem. For the first time, it's proved that the multileader MAS can reach cluster consensus without limiting the communication between the clusters. The combination of Small Gain Theorem and H8 optimization has been designed in the graphical differential game platform to prove the stability for the system. At the end, an online off-policy reinforcement learning algorithm is developed to find the solution to the H8 optimal problem of multileader MAS with completely unknown systems.

Keywords

Autonomous systems, Optimal control

Disciplines

Electrical and Computer Engineering | Engineering

Comments

Degree granted by The University of Texas at Arlington

31043-2.zip (1262 kB)

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