Quasi-Min-Max MPC for Nonlinear System via Embedding Approach

Abstract:

Article Preview

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:

Edited by:

Jun Hu and Qi Luo

Pages:

481-486

DOI:

10.4028/www.scientific.net/AMR.320.481

Citation:

M. Zhao and 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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.