Abstract
For a class of multivariable nonlinear systems with different relative degree, a closed-form nonlinear model predictive controller is derived using Taylor approximation methods, where the nonlinear system is approximated by its Taylor series expansion to any chosen order. The stability of the developed nonlinear model predictive control is established. It is shown that design of the nonlinear MPC for nonlinear systems is as easy as design of the well known linear quadratic regulator (LQR) in many aspects.
Original language | English |
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Pages (from-to) | 4887-4892 |
Number of pages | 6 |
Journal | Proceedings of the American Control Conference |
Volume | 6 |
Publication status | Published - 2003 |
Event | 2003 American Control Conference - Denver, CO, United States Duration: 4 Jun 2003 → 6 Jun 2003 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering