Paper Title:
Quasi-Min-Max MPC for Nonlinear System via Embedding Approach
  Abstract

A quasi-min-max model predictive control (MPC) algorithm is proposed for constrained nonlinear system via an embedding approach. The nonlinear system can be approximated by a linear parameter varying (LPV) model. And a method based on invariant set is proposed for the embedding model to reduce the computational complexity. The proposed method constructs a one-step invariant set comprises an interpolation between several pre-computed invariant sets at each time instant. Then control law is obtained by solving a constrained QP problem, which is also useful for the nonlinear system. The performances of the approach are presented via an example.

  Info
Periodical
Chapter
Chapter 2: Mechanical Engineering, Control Engineering and Materials Engineering
Edited by
Jun Hu and Qi Luo
Pages
481-486
DOI
10.4028/www.scientific.net/AMR.320.481
Citation
M. Zhao, P. P. Song, "Quasi-Min-Max MPC for Nonlinear System via Embedding Approach", Advanced Materials Research, Vol. 320, pp. 481-486, 2011
Online since
August 2011
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Price
$32.00
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