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• W2897555886 abstract "This study focuses on the modeling and control of multi-agent systems. Such systemsarise in several application domains such as smart grid networks, UAV swarms, and so on.Modeling and/or control of such systems is challenging due to the large number of agentsinvolved in these systems. The common approach of modeling such systems using OrdinaryDifferential Equations leads to models with large numbers of equations, and this makesthe analysis of such systems time-consuming. We therefore investigate the use of PartialDifferential Equation (PDE) models for such systems. In these PDE models, the number ofagents enters the model as a parameter, and because of this, the number of equations in themodel does not increase with an increase in the number of agents. In this dissertation, weconsider the problems of demand-side energy management, traffic cybersecurity modeling,UAV swarm control and wind farm power generation control.In demand-side energy management, this study present a control scheme for a systemof aggregated thermostatically controlled loads that are represented by two coupled PDEs,namely, the Fokker-Planck Equations. The objective of the controller is to ensure that thecumulative power consumption of the system tracks any desired power consumption trend.In the traffic cybersecurity problem, this study develops PDE models of vehicularcyber-attacks. We consider scenarios wherein a group of vehicles perform a coordinatedattack to create undesirable wave effects among other vehicles on the highway.In the UAV swarm problem, this study develops guidance laws that enable a swarmof UAVs track the spatio-temporal evolution of a contaminant in 3-Dimensional space. Thecontaminant spread and the UAV swarm, are both modeled by PDE equations.Finally, this study presents a new PDE-based modeling paradigm for wind farms tomodel power generated by the wind farms over the range of operating pitch and yaw angles.This PDE model is embedded into a hierarchical control structure which ensures that thecumulative power generated by the wind farm tracks any desired power generation trajectory" @default.
• W2897555886 created "2018-10-26" @default.
• W2897555886 creator A5004437932 @default.
• W2897555886 date "2018-07-01" @default.
• W2897555886 modified "2023-09-27" @default.
• W2897555886 title "PDE-based modeling and control of multi-agent systems" @default.
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• W2897555886 hasPublicationYear "2018" @default.
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