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Model Predictive Control for Nonlinear Systems Subject to Input Constraints

Author(s):

S. De Oliveira, V. Nevistic, M. Morari
Conference/Journal:

vol. AUT95-15
Abstract:

Two different approaches are investigated: {f (1)} Model Predictive Control (MPC) utilizing a linear model resulting from a local linearization of the plant at each time step; and {f (2)} Feedback Linearization (FL) with MPC in an outer loop to avoid constraint violations by the linearizing controller. In the latter case the constraints are generally nonlinear and the optimization problem must be solved in an iterative manner. These two techniques are compared with the standard nonlinear MPC algorithm in terms of their stability properties, the on-line effort and the relative performance on two practically motivated test examples.

Year:

1995
Type of Publication:

(04)Technical Report
Supervisor:



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% Autogenerated BibTeX entry
@TechReport { OliNev:1995:IFA_1487,
    author={S. De Oliveira and V. Nevistic and M. Morari},
    title={{Model Predictive Control for Nonlinear Systems Subject to
	  Input Constraints}},
    institution={},
    year={1995},
    number={},
    address={},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=1487}
}
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