Abstract
In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding to the extremal sequence energy closely match those of their continuous counterpart under the perturbation of the plant parameters. By suitably formulating the design problem as an optimization problem, an evolution framework incorporating three PSOs(particle swarm optimizations) is presented to derive a set of optimal parameters for the digital controller. Computer simulations have shown that time responses of the redesigned digital system having an interval plant have a better resemblance to their continuous-time counter part in comparison those obtained using existing open-loopdiscretization methods.
Original language | English |
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Title of host publication | SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications |
Pages | 32-37 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan Duration: 2008 Jun 25 → 2008 Jun 27 |
Other
Other | 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 |
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Country | Japan |
City | Muroran |
Period | 2008/06/25 → 2008/06/27 |
Keywords
- Digital redesign
- Interval plants
- ISE
- Particle swarm optimization
- Sequence energy
- Signal energy
- Time response
- Uncertain systems
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Software
- Industrial and Manufacturing Engineering