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Optimal control strategies and reinforcement learning for dynamical multiagent systems in graphical games
(2019-07-02)
As the number of autonomous agents increases in industrial and urban areas, the development of formal protocols to analyze their behavior as they interact with each other becomes of central interest in control systems ...
LONG-DISTANCE AND BROAD-BAND AERIAL COMMUNICATION USING DIRECTIONAL ANTENNAS: THEORY, IMPLEMENTATION, AND APPLICATIONS
(2019-08-05)
Unmanned aerial vehicles (UAV) have found broad civilian applications. However, existing commercial usages are limited to single UAVs. To facilitate commercial multi-UAV applications, robust UAV-to-UAV communication with ...
DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
(2021-05-07)
This dissertation studies the problem of data-driven optimal decision making. The 4main contributions of this work are listed here. First, we develop a model-based and data-driven techniques for learning the cost of an ...
MULTI-PLAYER H1 DIFFERENTIAL GAME USING ON-POLICY AND OFF-POLICY REINFORCEMENT LEARNING
(2021-08-03)
This work studies a multi-player H-infinity differential game for systems of general linear dynamics. In this game, multiple players design their control inputs to minimize their cost functions in the presence of worst-case ...
ADAPTIVE OPTIMAL TRACKING OF UNCERTAIN DISCRETE-TIME SYSTEMS
(2017-08-01)
Optimal feedback control design has been responsible for much of the successful performance of engineered systems in aerospace, manufacturing, industrial processes, vehicles, ships, robotics, and elsewhere. Although most ...