Abstract
Two multi-model based one-step ahead predictive controller algorithms are proposed for nonlinear systems. The proposed design employ Constrained Kalman filter algorithm to interpolate the submodels/controllers and determine which model/controller pair to be used according to the operating region of the system. Thus, it maintain the performance of the controllers over a wide range of operating regions. The algorithms is independent of the submodels, hence can be applied regardless of the submodels development. Two benchmark system examples are studied to demonstrate the effectiveness of the proposed predictive controller design on tracking problems.
Original language | English |
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Title of host publication | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 371-379 |
Number of pages | 9 |
ISBN (Electronic) | 9781538653050 |
DOIs | |
State | Published - 7 Dec 2018 |
Publication series
Name | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
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Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Constrained Kalman filter
- One step ahead predictive controller
- interpolation
- multi-model
- nonlinear systems
- operating region
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Control and Optimization
- Instrumentation