Journal article
Input-output linearizing nonlinear model predictive control
International journal of control, v 68(6), pp 1449-1474
01 Jan 1997
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Continuous-time nonlinear feedback control of multivariable processes with deadtimes is considered. The problem of deadtime compensation for a class of nonlinear multivariable processes is solved. The nonlinear controllers are derived by using two conceptually different approaches, a differential geometric approach and a model predictive approach. The model predictive approach uses shortest prediction horizons which allow one to establish the connections between model predictive control and input-output linearization. These two approaches lead to identical feedback controllers when there are no constraints or when the characteristic (decoupling) matrix of process can be made diagonal by manipulated-input/controlled-output rearrangements. Connections between the derived controllers and the linear internal model control are established. The application and performance of one of the derived nonlinear controllers is illustrated by a reactor example.
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Details
- Title
- Input-output linearizing nonlinear model predictive control
- Creators
- Masoud SoroushHossein M. Soroush
- Publication Details
- International journal of control, v 68(6), pp 1449-1474
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000071236100013
- Scopus ID
- 2-s2.0-0031387184
- Other Identifier
- 991019168250404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Automation & Control Systems