On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure
Runyu Zhang, Weiyu Li, Na Li

TL;DR
This paper investigates the structure of optimal controllers in network LQR problems with spatially-exponential decaying system matrices, showing they are 'quasi'-SED and enabling near-optimal decentralized control.
Contribution
It proves the 'quasi'-SED structure of optimal LQR controllers and disturbance response controls in SED systems, extending to unstable systems and providing performance bounds for local controllers.
Findings
Optimal LQR gain is 'quasi'-SED in stable systems.
Performance bounds for truncated local controllers are established.
Optimal disturbance response control also exhibits 'quasi'-SED property.
Abstract
This paper studies network LQR problems with system matrices being spatially-exponential decaying (SED) between nodes in the network. The major objective is to study whether the optimal controller also enjoys a SED structure, which is an appealing property for ensuring the optimality of decentralized control over the network. We start with studying the open-loop asymptotically stable system and show that the optimal LQR state feedback gain is `quasi'-SED in this setting, i.e. . The decaying rate depends on the decaying rate and norms of system matrices and the open-loop exponential stability constants. Then the result is further generalized to unstable systems under a SED stabilizability assumption. Building upon the `quasi'-SED result on , we give an upper-bound on the performance of…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Neural Networks Stability and Synchronization
