Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances

Weilin Yang; Gang Feng

doi:10.1109/CYBER.2013.6705420

Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

4 Citations (Scopus)

Abstract

Robust model predictive control of a discrete-time uncertain linear system is considered. Both polytopic and structured uncertainties are taken into account in the system model. Besides, the system is subject to persistent disturbances. Noting that robust positively invariant (RPI) set plays an important role in both recursive feasibility and stability analysis, computation of a RPI set is developed. Based on this result, an online predictive controller is proposed. The closed-loop control system is guaranteed to be input-to-state stable. A numerical example is given to illustrate the effectiveness of the controller. © 2013 IEEE.

Original language	English
Title of host publication	2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013
Pages	58-63
DOIs	https://doi.org/10.1109/CYBER.2013.6705420
Publication status	Published - 2013
Event	3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013 - Nanjing, China Duration: 26 May 2013 → 29 May 2013

Conference

Conference	3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013
Place	China
City	Nanjing
Period	26/05/13 → 29/05/13

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title = "Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances",

abstract = "Robust model predictive control of a discrete-time uncertain linear system is considered. Both polytopic and structured uncertainties are taken into account in the system model. Besides, the system is subject to persistent disturbances. Noting that robust positively invariant (RPI) set plays an important role in both recursive feasibility and stability analysis, computation of a RPI set is developed. Based on this result, an online predictive controller is proposed. The closed-loop control system is guaranteed to be input-to-state stable. A numerical example is given to illustrate the effectiveness of the controller. {\textcopyright} 2013 IEEE.",

author = "Weilin Yang and Gang Feng",

year = "2013",

doi = "10.1109/CYBER.2013.6705420",

language = "English",

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pages = "58--63",

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Yang, W & Feng, G 2013, Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances. in 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013., 6705420, pp. 58-63, 3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013, Nanjing, China, 26/05/13. https://doi.org/10.1109/CYBER.2013.6705420

Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances. / Yang, Weilin; Feng, Gang.
2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013. 2013. p. 58-63 6705420.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Yang, Weilin

AU - Feng, Gang

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N2 - Robust model predictive control of a discrete-time uncertain linear system is considered. Both polytopic and structured uncertainties are taken into account in the system model. Besides, the system is subject to persistent disturbances. Noting that robust positively invariant (RPI) set plays an important role in both recursive feasibility and stability analysis, computation of a RPI set is developed. Based on this result, an online predictive controller is proposed. The closed-loop control system is guaranteed to be input-to-state stable. A numerical example is given to illustrate the effectiveness of the controller. © 2013 IEEE.

AB - Robust model predictive control of a discrete-time uncertain linear system is considered. Both polytopic and structured uncertainties are taken into account in the system model. Besides, the system is subject to persistent disturbances. Noting that robust positively invariant (RPI) set plays an important role in both recursive feasibility and stability analysis, computation of a RPI set is developed. Based on this result, an online predictive controller is proposed. The closed-loop control system is guaranteed to be input-to-state stable. A numerical example is given to illustrate the effectiveness of the controller. © 2013 IEEE.

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M3 - RGC 32 - Refereed conference paper (with host publication)

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BT - 2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013

T2 - 3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013

Y2 - 26 May 2013 through 29 May 2013

ER -

Robust model predictive control of discrete-time uncertain linear systems with persistent disturbances

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