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

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2013 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2013
Pages58-63
Publication statusPublished - 2013

Conference

Title3rd Annual IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, IEEE-CYBER 2013
PlaceChina
CityNanjing
Period26 - 29 May 2013

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.

Citation Format(s)

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: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review