Computationally efficient scheduled model predictive control for constrained nonlinear systems with stability guarantees

Zhaoyang Wan, Mayuresh V. Kothare

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

Abstract

We present a computationally efficient scheduled formulation of Model Predictive Control (MPC) for constrained nonlinear systems with large operating regions. We design a set of local predictive controllers with their explicit regions of stability covering the desired operating region, and implement them as a single scheduled MPC which on-line switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. This algorithm is computationally efficient and provides a general framework for scheduled MPC design.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
Pages4487-4492
Number of pages6
Volume6
DOIs
StatePublished - 2002
Externally publishedYes
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002

Other

Other2002 American Control Conference
Country/TerritoryUnited States
CityAnchorage, AK
Period5/8/025/10/02

ASJC Scopus subject areas

  • Control and Systems Engineering

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