Conference proceeding
Model-based control of unstable, non-minimum-phase, nonlinear processes
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), v 6, pp 6151-6156 Vol.6
2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A model-based control system is presented for nonlinear unconstrained processes. It is applicable to stable and unstable processes, whether non-minimum- or minimum-phase. The control system includes a nonlinear state feedback and a reduced-order nonlinear state observer. The state feedback induces an approximately linear response to state variables of the process. The state feedback is derived by solving a continuous-time moving-horizon optimization problem. The application and performance of the control system are shown by implementing it on a chemical reactor with multiple steady states. The control system is used to operate the reactor at one of the steady states, which is unstable and non-minimum-phase. The simulation results show that the closed-loop system is globally asymptotically stable.
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Details
- Title
- Model-based control of unstable, non-minimum-phase, nonlinear processes
- Creators
- C Panjapornpon - Drexel UniversityM Soroush - Drexel UniversityW.D SeiderIEEE
- Publication Details
- 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), v 6, pp 6151-6156 Vol.6
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000189434101059
- Scopus ID
- 2-s2.0-1542348485
- Other Identifier
- 991019170499104721
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- Web of Science research areas
- Automation & Control Systems