Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/164500
Title: A multi-step estimation approach for optimal control strategies of interconnected systems with weakly connected topology
Authors: Wang, Yan
Su, Rong
Lv, Mingsong
Guan, Nan
Keywords: Engineering::Computer science and engineering
Issue Date: 2023
Source: Wang, Y., Su, R., Lv, M. & Guan, N. (2023). A multi-step estimation approach for optimal control strategies of interconnected systems with weakly connected topology. Automatica, 148, 110791-. https://dx.doi.org/10.1016/j.automatica.2022.110791
Project: A19D6a0053
Journal: Automatica
Abstract: This paper studies optimal linear quadratic regulation (LQR) problem of discrete-time interconnected systems (ISs) defined over a weakly connected graph. Subsystems in an IS share information based on the topology of the system. The main challenge of this work in comparison to the standard LQR problem, stems from that a subsystem may never acquire information from some other subsystems, due to the weakly connected topology. In this paper, a multiple-step estimation approach is proposed to analytically design the optimal controller for ISs with weakly connected topology. Also, the optimal value of the cost function is explicitly derived. Finally, the effectiveness of the proposed method is illustrated by simulations using a connected vehicle system.
URI: https://hdl.handle.net/10356/164500
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2022.110791
Schools: School of Electrical and Electronic Engineering 
Rights: © 2022 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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