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 |
|---|---|
| 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 |
|---|---|
| Country | Japan |
| City | Muroran |
| Period | 08/6/25 → 08/6/27 |
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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
Cite this
Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization. / Hsu, Chen Chien; Lin, Geng Yu.
SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 32-37 5045931.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization
AU - Hsu, Chen Chien
AU - Lin, Geng Yu
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Digital redesign
KW - Interval plants
KW - ISE
KW - Particle swarm optimization
KW - Sequence energy
KW - Signal energy
KW - Time response
KW - Uncertain systems
UR - http://www.scopus.com/inward/record.url?scp=70349280501&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349280501&partnerID=8YFLogxK
U2 - 10.1109/SMCIA.2008.5045931
DO - 10.1109/SMCIA.2008.5045931
M3 - Conference contribution
AN - SCOPUS:70349280501
SN - 9781424437825
SP - 32
EP - 37
BT - SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
ER -