Composite Control of Linear Systems With Event-Triggered Inputs and Outputs
Abstract
This brief is concerned with the event-triggered control of linear systems with triggered dual channels. The system outputs and control inputs are respectively driven by two different triggering mechanisms. An integral controller with nonlinear compensation terms is established to attenuate the potential data jitter and reduce the unnecessary transmissions. The uniformly ultimate boundedness of the resultant closed-loop system is established by means of Simpson rule, Finsler lemma and the Lyapunov stability theory and the controller gain is solved in terms of linear matrix inequality. The validity of the proposed scheme is verified by a numerical example.
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Most event-based controllers proposed in the literature are state-feedback controllers.
“Several event-based controllers have been proposed in the literature, most of which are state-feedback controllers [35-39].”
From Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach (2023) · cites this paper as [37]
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- Authors
- Shen, M., Gu, Y., Park, J. H., Yi, Y., & Che, W.-W.
- Affiliations
- Nanjing Tech University (CN)
- Yeungnam University (KR)
- Yangzhou University (CN)
- Qingdao University (CN)
- Venue
- IEEE Transactions on Circuits and Systems II: Express Briefs
- Published
- 2022-03
- Volume
- 69
- Issue
- 3
- Pages
- 1154-1158
- ISSN
- 1549-7747 (ISSN-L)
- 1558-3791
- OpenAlex
- W3185670767
- Cited by
- 35
- References
- 22
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 3 · 2023: 6 · 2022: 6
- FWCI
- 1.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Circuits & Systems II Express Briefs (publishedVersion)
- Funders
- National Natural Science Foundation of China (61773200, 61973266, U1966202, 61873338)
- National Research Foundation of Korea (NRF) grant funded by the Korea Government (2019R1A5A8080290)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Adaptive Control of Nonlinear Systems
- Physical Sciences › Computer Science › Computer Networks and Communications › Neural Networks Stability and Synchronization
- Keywords
- event-triggered control, linear systems, composite control, integral controller, nonlinear distortion compensation, transmission reduction, uniform ultimate boundedness, linear matrix inequalities, Lyapunov stability
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