Abstract
This paper first introduces several interpolation schemes, which have been derived for the linear time invariant case, but with an underlying objective of trading off performance for online computational simplicity. It is then shown how these can be extended to linear parameter varying systems, with a relatively small increase in the online computational requirements. Some illustrations are followed with a brief discussion on areas of potential development.
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Keywords
- Linear Matrix Inequality
- Feasible Region
- State Trajectory
- Interpolation Algorithm
- Linear Time Invariant System
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Rossiter, J.A., Pluymers, B., De Moor, B. (2007). The Potential of Interpolation for Simplifying Predictive Control and Application to LPV Systems. In: Findeisen, R., Allgöwer, F., Biegler, L.T. (eds) Assessment and Future Directions of Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72699-9_5
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DOI: https://doi.org/10.1007/978-3-540-72699-9_5
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