Conference proceeding
An Optimization Approach to Nonlinear Control of Input-Constrained Systems
2003 American Control Conference; Denver, CO; USA; 4-6 June 2003, v 2, pp 1218-1223
04 Jun 2003
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Abstract
This paper presents an optimization-based method of deriving model-based controllers for input-constrained, multi-input multi-output, nonlinear processes described by a discrete-time mathematical model. By this method, nonlinear model-based control laws that include optimal directionality and windup compensators are derived. The control laws can minimize the mismatch between the constrained and unconstrained process responses; and in the absence of input constraints they are input-output linearizing. The connections between (a) the derived control laws and (b) model state feedback control and modified internal model control are established. The application and performance of the derived control laws are demonstrated by two examples.
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Details
- Title
- An Optimization Approach to Nonlinear Control of Input-Constrained Systems
- Creators
- Masoud Soroush - Drexel UniversityNasir MehranbodSairam ValluriAAC
- Publication Details
- 2003 American Control Conference; Denver, CO; USA; 4-6 June 2003, v 2, pp 1218-1223
- Conference
- 2003 American Control Conference, 21st (Denver, Colorado, United States, 04 Jun 2003–06 Jun 2003)
- Publisher
- The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Chemical and Biological Engineering
- Web of Science ID
- WOS:000186706200208
- Other Identifier
- 991019170514004721
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- Web of Science research areas
- Automation & Control Systems