Lab Papers (GRASP)

Document Type

Journal Article

Date of this Version

8-2008

Comments

Copyright 2009 IEEE. Reprinted from:
Motee, N.; Jadbabaie, A., "Optimal Control of Spatially Distributed Systems," Automatic Control, IEEE Transactions on , vol.53, no.7, pp.1616-1629, Aug. 2008 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4623272&isnumber=4623249

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Abstract

In this paper, we study the structural properties of optimal control of spatially distributed systems. Such systems consist of an infinite collection of possibly heterogeneous linear control systems that are spatially interconnected via certain distant-dependent coupling functions over arbitrary graphs. We study the structural properties of optimal control problems with infinite-horizon linear quadratic criteria, by analyzing the spatial structure of the solution to the corresponding operator Lyapunov and Riccati equations. The key idea of the paper is the introduction of a special class of operators called spatially decaying (SD). These operators are a generalization of translation invariant operators used in the study of spatially invariant systems. We prove that given a control system with a state-space representation consisting of SD operators, the solution of operator Lyapunov and Riccati equations are SD. Furthermore, we show that the kernel of the optimal state feedback for each subsystem decays in the spatial domain, with the type of decay (e.g., exponential, polynomial or logarithmic) depending on the type of coupling between subsystems.

Keywords

Lyapunov methods, Riccati equations, graph theory, linear systems, multidimensional systems, optimal control, state-space methods, Riccati equations, arbitrary graphs, distant-dependent coupling functions, heterogeneous linear control systems, infinite collection, infinite-horizon linear quadratic criteria, operator Lyapunov equation, optimal control, spatial structure analysis, spatially decaying, spatially distributed systems, Distributed control, infinite-dimensional systems, networked control, optimal control, spatially decaying systems

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Date Posted: 17 September 2009

This document has been peer reviewed.