Control, optimization and games for networked dynamical systems
Abstract
This manuscript is partitioned into four chapters. The first one is an extended resume. It starts by briefly presenting my CV and short biography, followed by a summary of my research activities, my collaborations, supervision of students, other responsibilities, research projects, and finally a full list of my publications.
The second chapter is a summary of my work in the domain of networked control systems. The main motivation for the work I have done in this chapter is to study the impact of effects like stochastic packet drops and other limitations in the communication network on a control system, i.e., when the measurements on control inputs are communicated using an unreliable wireless network. Many works in the state of art on control theory assume ideal and often deterministic models for the wireless channel. For example, even when considering packet drops, assumptions are made on the maximum number of consecutive packet drops. One of the main contributions of my work was to consider realistic wireless channel models and then provide conditions for stability and performance guarantees for the networked control system. Other directions include realistic communication models for vehicular platooning, multi-agent control with a specific communication structure, and the control of robots with communication objectives.
The third chapter is a summary of my research on the analysis and control of inter-connected dynamical systems. Each section in this chapter is dedicated to a specific line of research I have done on opinion dynamics models, viral marketing strategies, control of epidemics, and a study of crowd-funding processes. I have used Markov chains, optimization, game theory, and Markov decision processes for the research in this chapter.
The final chapter will provide some perspectives on my future research.
Origin | Files produced by the author(s) |
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