A framework for design of scheduled output feedback model predictive control

Zhaoyang Wan; Mayuresh V. Kothare

doi:10.1016/j.jprocont.2007.10.007

A framework for design of scheduled output feedback model predictive control

Zhaoyang Wan, Mayuresh V. Kothare

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

We present a stabilizing 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. This algorithm provides a general framework for scheduled output feedback MPC design.

Original language	English (US)
Pages (from-to)	391-398
Number of pages	8
Journal	Journal of Process Control
Volume	18
Issue number	3-4
DOIs	https://doi.org/10.1016/j.jprocont.2007.10.007
State	Published - Mar 2008
Externally published	Yes

Keywords

Constrained nonlinear systems
Linear matrix inequalities
Model predictive control
Output feedback
Scheduling

ASJC Scopus subject areas

Process Chemistry and Technology
Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.jprocont.2007.10.007

Cite this

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abstract = "We present a stabilizing 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. This algorithm provides a general framework for scheduled output feedback MPC design.",

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AB - We present a stabilizing 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. This algorithm provides a general framework for scheduled output feedback MPC design.

KW - Constrained nonlinear systems

KW - Linear matrix inequalities

KW - Model predictive control

KW - Output feedback

KW - Scheduling

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ER -

A framework for design of scheduled output feedback model predictive control

Abstract

Keywords

ASJC Scopus subject areas

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