Gain-scheduling offline robust predictive controllers for discrete-time systems with varying parameters-Reference-Cited by-同舟云学术

Gain-scheduling offline robust predictive controllers for discrete-time systems with varying parameters

Published:2021-05-05 Issue: Volume: Page:
ISSN:2195-268X
Container-title:International Journal of Dynamics and Control
language:en
Short-container-title:Int. J. Dynam. Control

Author:

Jaherng Thanyalak,Kheawhom Soorathep,Bumroongsri Pornchai^ORCID

Funder

Mahidol University

Thailand Science Research and Innovation

National Research Council of Thailand

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modeling and Simulation,Civil and Structural Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s40435-021-00805-4.pdf

Reference19 articles.

1. Hu J, Ding B (2019) Output feedback robust MPC for linear systems with norm-bounded model uncertainty and disturbance. Automatica. https://doi.org/10.1016/j.automatica.2019.07.002

2. Pipino HA, Morato MM, Bernardi E, Adam EJ, Rico JEN (2020) Nonlinear temperature regulation of solar collectors with a fast adaptive polytopic LPV MPC formulation. Sol Energy 209:214–225. https://doi.org/10.1016/j.solener.2020.09.005

3. Lu Y, Arkun Y (2000) Quasi-min-max MPC algorithms for LPV systems. Automatica 36(4):527–540. https://doi.org/10.1016/S0005-1098(99)00176-4

4. Zhang Y, Meng F, Wang R, Kazemtabrizi B, Shi J (2019) Uncertainty-resistant stochastic MPC approach for optimal operation of CHP microgrid. Energy 179:1265–1278. https://doi.org/10.1016/j.energy.2019.04.151

5. Lu Y, Arkun Y (2002) A scheduling quasi-min-max model predictive control algorithm for nonlinear systems. J Process Contr 12(5):589–604. https://doi.org/10.1016/S0959-1524(01)00055-5