Title

Approximate Nonlinear Model Predictive Control with In Situ Adaptive Tabulation

Keywords

In situ adaptive tabulation, Nonlinear model predictive control, Computational reduction

Abstract

In situ adaptive tabulation (ISAT) is applied to store and retrieve solutions of nonlinear model predictive control (NMPC) problems. ISAT controls approximation error by adaptively building the database of NMPC solutions with piecewise linear local approximations. Unlike initial state or constraint parameterized constrained quadratic programming (QP) solutions, ISAT approximates NMPC solutions within a specified tolerance, thereby easing the dimensionality difficulties of these other techniques. In the limit, as the specified tolerance is reduced to zero and for linear models with quadratic objective functions, ISAT becomes an adaptive version of state parameterized storage and retrieval of mp-QP problems.

Original Publication Citation

http://www.sciencedirect.com/science/article/pii/S0098135407000531

Document Type

Peer-Reviewed Article

Publication Date

2008-04-08

Permanent URL

http://hdl.lib.byu.edu/1877/3658

Publisher

Computers & Chemical Engineering

Language

English

College

Ira A. Fulton College of Engineering and Technology

Department

Chemical Engineering

University Standing at Time of Publication

Assistant Professor