Efficient Scheduled Stabilizing Output Feedback Model Predictive Control for Constrained Nonlinear Systems

Zhaoyang Wan, Mayuresh V. Kothare

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present a computationally efficient scheduled output feedback Model Predictive Control (MPC) algorithm for constrained nonlinear systems with large operating regions. We design a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which on-line switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. The algorithm is illustrated with a highly nonlinear CSTR process.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Pages489-494
Number of pages6
Volume1
StatePublished - 2003
Externally publishedYes
Event2003 American Control Conference - Denver, CO, United States
Duration: Jun 4 2003Jun 6 2003

Other

Other2003 American Control Conference
CountryUnited States
CityDenver, CO
Period6/4/036/6/03

ASJC Scopus subject areas

  • Control and Systems Engineering

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