Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/103810
Title: Robust H∞ receding horizon control for a class of coordinated control problems involving dynamically decoupled subsystems
Authors: Gautam, Ajay
Chu, Yun-Chung
Soh, Yeng Chai
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2014
Source: Gautam, A., Chu, Y. C., & Soh, Y. C. (2014). Robust H∞ receding horizon control for a class of coordinated control problems involving dynamically decoupled subsystems. IEEE Transactions on Automatic Control, 59(1), 134-149.
Series/Report no.: IEEE transactions on automatic control
Abstract: This paper presents a robust receding-horizon-control (RHC)-based scheme for a class of coordinated control problems involving dynamically decoupled subsystems which are required to reach a consensus condition in some optimal way. A general case of constrained subsystems having possibly uncertain time-varying dynamics in addition to external disturbances is considered and a suitable H∞-based near-consensus condition is defined as the target condition to be achieved. The proposed scheme employs computationally efficient subsystem-level RHC policies in the H∞ -based minmax-cost framework together with a distributed subgradient-based method to optimize and update the consensus signal and the subsystem control inputs at regular intervals. Furthermore, the proposed framework allows the incorporation of computational delays in the RHC policy formulation so that the desired control performance is always guaranteed. The performance of the proposed control scheme is illustrated with some simulation examples
URI: https://hdl.handle.net/10356/103810
http://hdl.handle.net/10220/19305
ISSN: 0018-9286
DOI: 10.1109/TAC.2013.2281872
Rights: © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TAC.2013.2281872].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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