Abstract
This paper studies the sampled-data output feedback fuzzy control issue for active suspension systems via the input delay approach. The vehicle suspension system with uncertainty is approximated by using the Takagi-Sugeno fuzzy model. Since the entire system contains digital controllers, sampled signals from digital devices are modeled as a time-varying delay function. Based on the Lyapunov-Krasovskii theorem with mathematical inequalities, the existence conditions of the sampled-data fuzzy controller are obtained concerning linear matrix inequalities(LMIs). Finally, simulation results provide the effectiveness of the proposed controller.
| Original language | English |
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| Title of host publication | 2022 22nd International Conference on Control, Automation and Systems, ICCAS 2022 |
| Publisher | IEEE Computer Society |
| Pages | 716-719 |
| Number of pages | 4 |
| ISBN (Electronic) | 9788993215243 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 22nd International Conference on Control, Automation and Systems, ICCAS 2022 - Busan, Korea, Republic of Duration: 2022 Nov 27 → 2022 Dec 1 |
Publication series
| Name | International Conference on Control, Automation and Systems |
|---|---|
| Volume | 2022-November |
| ISSN (Print) | 1598-7833 |
Conference
| Conference | 22nd International Conference on Control, Automation and Systems, ICCAS 2022 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Busan |
| Period | 22/11/27 → 22/12/1 |
Bibliographical note
Publisher Copyright:© 2022 ICROS.
Keywords
- Active suspension systems
- H8 control
- Jensen's inequality
- T-S fuzzy model
- input delay approach
- reciprocally convex technique
- sampled-data systems
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Control and Systems Engineering
- Electrical and Electronic Engineering