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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9173

Title: Approximate Algorithm for Hybrid Model Predictive Control with Time-Varying Reference
Authors: Kobayashi, Koichi
Hiraishi, Kunihiko
Tang, Nguyen Van
Keywords: offline/online computations
time-varying reference
approximate algorithm
model predictive control
hybrid systems
Issue Date: 2009-08-01
Publisher: 電子情報通信学会
Magazine name: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Volume: E92-A
Number: 8
Start page: 2046
End page: 2052
DOI: 10.1587/transfun.E92.A.2046
Abstract: In this paper, we propose a new approximate algorithm for the model predictive control (MPC) problem with a time-varying reference of hybrid systems. The proposed algorithm consists of an offline computation and an online computation. In the offline computation, candidates of mode sequences are derived. In the online computation, after the mode sequence is uniquely decided among candidates, the finite-time optimal control problem, i.e., the quadratic programming problem, is solved. So by applying the proposed algorithm, the computational amount of the online computation is decreased. First, the MPC problem with a time-varying reference is formulated. Next, the proposed algorithm is explained, and the accuracy of the obtained approximate solution is discussed. Finally, the effectiveness of the proposed method is shown by a numerical example.
Rights: Copyright (C)2009 IEICE. Koichi Kobayashi, Kunihiko Hiraishi, and Nguyen Van Tang, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E92-A(8), 2009, 2046-2052. http://www.ieice.org/jpn/trans_online/
URI: http://hdl.handle.net/10119/9173
Material Type: publisher
Appears in Collections:b10-1. 雑誌掲載論文 (Journal Articles)

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