Art

J-GLOBAL ID：202002258453378133   Reference number：20A2806071

On Nonlinear Model Predictive Control via Continuous-Time Optimization Algorithm

連続時間最適化アルゴリズムによる非線形モデル予測制御の提案

Author (3)： SATO KAITO (電通大) ,  SAWADA KENJI (電通大) ,  INOUE MASAKI (慶応大)
Material： 自動制御連合講演会(CD-ROM)  (自動制御連合講演会講演論文集(CD-ROM))
Volume： 63rd (Web)  Page： ROMBUNNO.2F1-3 (WEB ONLY)  Publication year： 2020 
JST Material Number： F0989D  Document type： Proceedings
Article type： 原著論文  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *optimization method ,  *predictive control ,  state estimation ,  approximation method ,  analytical model ,  convergence ,  simulation ,  nonlinear system
Semi thesaurus term： model predictive control ,  appropriate model ,  linear approximation ,  repetitive learning ,  *nonlinear model predictive control

JST classification (2)： System design and analysis  (IA02030D) ,  System optimization methods  (IA02050Z)

Reference (7)：

• K. Yoshida, M. Inoue and T. Hatanaka, “ Instant MPC for Linear System and Dissipativity-Based Stability Analysis,” IEEE CONTROL SYSTEMS LETTERS, vol. 3, no. 4, pp.811-816, 2019
• J. Lu, Z. Cao and F. Gao, “Multipoint Iterative Learning Model Predictive Control,” IEEE TRAN-SACTIONS ON INDUSTRIAL ELECTRONICS, vol. 66, no. 8, pp.6230-6240, 2019
• K. Sato, K. Sawada and M. Inoue, “On the Instant Iterative Learning MPC for Nonlinear Systems, ” Proceedings of the SCIE Annual Conference 2020, pp. 1166-1171, 2020
• J.-X. Xu, “A survey on iterative learning control for nonlinear systems,” Int. J. Control, vol. 84, no. 7, pp.1275-1294, 2011.
• J. Shi, F. Gao and T-.J , “Single-cycle and multi-cycle generalized 2D model predictive iterative learning control (2d-gpilc) schemes for batch processes,” J. Process Control, vol. 17, no. 9, pp. 715-727, 2007.

Terms in the title (4)： 連続時間 ,  最適化アルゴリズム ,  非線形モデル予測制御 ,  提案