Computationally efficient nonlinear model predictive control algorithm for control of constrained nonlinear systems (Q2776234)
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scientific article; zbMATH DE number 1714427
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Computationally efficient nonlinear model predictive control algorithm for control of constrained nonlinear systems |
scientific article; zbMATH DE number 1714427 |
Statements
28 February 2002
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Tennessee-Eastman challenge process
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model predictive control
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constrained nonlinear systems
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on-line optimization
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Computationally efficient nonlinear model predictive control algorithm for control of constrained nonlinear systems (English)
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A nonlinear model predictive control algorithm is proposed for the control of constrained nonlinear systems. The basic idea is to calculate exactly the first control move, which is implemented, and approximate all other control moves, which are not implemented. Regardless of the control horizon, the number of decision variables for the on-line optimization problem equals the number of manipulated variables, resulting in significant savings in on-line computational time. The feasibility for a practical implementation of the proposed algorithm is demonstrated on two examples including the Tennessee-Eastman Challenge process involving seven inputs and three outputs.NEWLINENEWLINEFor the entire collection see [Zbl 0976.00019].
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