Browsing PhD Dissertations - DO NOT EDIT by Author "Lewis, Frank"
Now showing items 1-20 of 22
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ADAPTIVE OPTIMAL TRACKING OF UNCERTAIN DISCRETE-TIME SYSTEMS
Kiumarsi Khomartash, Bahare (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 ... -
BIO-INSPIRED ADAPTIVE TUNING OF HUMAN-ROBOT INTERFACES
Alqaudi, Bakur; 0000-0002-1060-6458 (2018-08-07)Motivated by recent advancement in neurocognitive in brain modeling research, multiple model-based Q-learning structures are proposed for optimal tracking problem of time-varying discrete-time systems. This is achieved by ... -
Cooperative Control Of Multi-agent Systems; Stability, Optimality And Robustness
Hengster Movric, Kristian (Electrical Engineering, 2013-10-22)In this work design methods are given for distributed synchronization control of multi-agent systems on directed communication graphs. Conditions are derived based on the relation of the graph eigenvalues to a region in a ... -
DATA-DRIVEN DECISION MAKING AND CONTROL OF RATIONAL AGENTS
Kolaric, Patrik; 0000-0002-4332-3462 (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 ... -
Decision And Control In Distributed Cooperative Systems
Ballal, Prasanna Mohan (Electrical Engineering, 2008-09-17)This dissertation presents novel matrix-based approaches for decision and control in distributed cooperative systems such as wireless sensor networks. A novel matrix-based Discrete Event Controller has been implemented for ... -
Discrete-time Control Algorithms And Adaptive Intelligent Systems Designs
Al-Tamimi, Asma Azmi (Electrical Engineering, 2007-10-08)In this work, approximate dynamic programming (ADP) designs based on adaptive critic structures are developed to solve the discrete-time optimal control problems in which the state and action spaces are continuous. This ... -
Distributed Optimal Policies for Multi-Agent Systems under Uncertainties
Liu, Mushuang (2020-05-14)Multi-agent systems (MAS) have attracted increasing attention in the past years due to their wide applications in mobile robots, sensor networks, autonomous driving systems, etc. Along with this trend, developing ... -
Distributed Resilient Control of Multi-agent Systems with Applications to Microgrids
Zuo, Shan (2020-08-03)Distributed cooperative control of multi-agent systems (MAS) has been an active research area over the last few decades. Distributed cooperative controller is locally designed using the neighborhood relative information. ... -
H-infinity Output Feedback Control: Application To Unmanned Aerial Vehicle
Gadewadikar, Jyotirmay (Electrical Engineering, 2007-08-23)This dissertation presents new necessary and sufficient conditions for static output-feedback control of linear time-invariant systems using the H-Infinity approach. Simplified conditions are derived which only require the ... -
Intelligent Control And Cooperation For Mobile Robots
Stingu, Petru Emanuel (Electrical Engineering, 2012-04-11)The topic discussed in this work addresses the current research being conducted at the Automation & Robotics Research Institute in the areas of UAV quadrotor control and heterogenous multi-vehicle cooperation. Autonomy can ... -
Internal Structure And Dynamic Decisions For Coalitions On Graphs
Aurangzeb, Muhammad (Electrical Engineering, 05-07-2013)The notions of collaboration, advantage, cost and impact are investigated in this dissertation, following are the details. Contribution to Cooperation between Agents for Routing in an Unknown Graph Using Reinforcement ... -
Modeling And Feedback Control Of MEMS Devices
Borovic, Bruno (Electrical Engineering, 2007-08-23)As MEMS actuators reach maturity and emerge from the research lab into commercial applications, their increased reliability, speed, and performance accuracy is needed. MEMS are typically driven directly in an open-loop ... -
Multi-source UAV-based object classification using CNN’s and Data acquisition system for Robotic Skin
Margasahayam Subrahamanyam, Raghavendra Sriram; 0000-0002-9494-017X (2017-08-16)Autonomous robots are intelligent systems capable of performing tasks in the world by themselves, without explicit human control. Examples range from autonomous helicopters to Roomba, the robot vacuum cleaner to robotic ... -
Neural Network Solution For Fixed-final Time Optimal Control Of Nonlinear Systems
Cheng, Tao (Electrical Engineering, 2007-08-23)In this research, practical methods for the design of H2 and H-Infinity optimal state feedback controllers for unconstrained and constrained input systems are proposed. The dynamic programming principle is used along with ... -
Neuro Adaptive Control For Aerospace And Distributed Systems
Das, Abhijit (Electrical Engineering, 2010-11-01)Nonlinear and adaptive control is generally considered one of the most effective techniques for stabilizing complex nonlinear systems, where linear control techniques may fail completely. Thousands of research papers are ... -
Nonlinear H2/H∞ Constrained Feedback Control: A Practical Design Approach Using Neural Networks
Abu-Khalaf, Murad (Electrical Engineering, 2007-08-23)In this research, practical methods for the design of H2 and H∞ optimal state feedback controllers for constrained input systems are proposed. The dynamic programming principle is used along with special quasi-norms to ... -
Online Adaptive Optimal Control For Continuous-time Systems
Vrabie, Draguna (Electrical Engineering, 2010-03-03)This work makes two major contributions. * First, in the field of computational intelligence, it develops reinforcement learning controllers (i.e. approximate dynamic programming algorithms) for continuous-time systems, ... -
Online Learning Algorithms For Differential Dynamic Games And Optimal Control
Vamvoudakis, Kyriakos G. (Electrical Engineering, 2011-07-14)Optimal control deals with the problem of finding a control law for a given system that a certain optimality criterion is achieved. It can be derived using Pontryagin's maximum principle (a necessary condition), or by ... -
Optimal control strategies and reinforcement learning for dynamical multiagent systems in graphical games
Lopez Mejia, Victor Gabriel; 0000-0003-3989-4091 (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 ... -
Optimal Tracking Control Of Uncertain Systems: On-policy And Off-policy Reinforcement Learning Approaches
Modares, HamidrezaOver the last few decades, strong connections between reinforcement learning (RL) and optimal control have prompted a major effort towards developing online and model-free RL algorithms to learn the solution to optimal ...