Computation of Feasible and Invariant Sets for Interpolation-based MPC-Reference-Cited by-同舟云学术

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Computation of Feasible and Invariant Sets for Interpolation-based MPC

Published:2021-10 Issue:10 Volume:19 Page:3253-3263
ISSN:1598-6446
Container-title:International Journal of Control, Automation and Systems
language:en
Short-container-title:Int. J. Control Autom. Syst.

Author:

Fitri Ismi Rosyiana^ORCID,Kim Jung-Su^ORCID,Yu Shuyou^ORCID,Lee Young Il^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s12555-021-0014-3.pdf

Reference24 articles.

1. D. Mayne, J. Rawlings, C. Rao, and P. Scokaert, “Constrained model predictive control: Stability and optimality,” Automatica, vol. 36, no. 6, pp. 789–814, 2000.

2. J. A. Rossiter, Model-Based Predictive Control A Practical Approach, CRC Press, 2013.

3. J. W. Lee, W. H. Kwon, and J. Choi, “On stability of constrained receding horizon control with finite terminal weighting matrix,” Automatica, vol. 34, no. 12, pp. 1607–1612, 1998.

4. H. Chen and F. Allgöwer, “A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability,” Automatica, vol. 34, no. 10, pp. 1205–1217, October 1998.

5. D. Mayne and H. Michalska, “Receding horizon control of nonlinear systems,” IEEE Transactions on Automatic Control, vol. 35, no. 7, pp. 814–824, July 1990.

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1. Three-phase Inverter using Robust Tracking Control based Interpolation;2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP);2023-01-18

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