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Event-triggered H∞ filtering for nonlinear networked control systems via T-S fuzzy model approach
- Source :
- Neurocomputing. 448:344-352
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- This paper tackles the event-triggering filtering problem for a class of nonlinear networked control systems subject to the prescribed disturbance attenuation level. To alleviate the data transmission burden of communication channels, an event-triggering mechanism is adopted, where the data can be transmitted only if certain condition is fulfilled. The T-S fuzzy model approach is utilized to approximate the nonlinear dynamics. It is the purpose of this paper to design a filter for the addressed nonlinear system ensuring that the filtering error system is asymptotically stable whereas the prespecified H ∞ criterion is guaranteed. By using Lyapunov approach in combination with matrix analysis method, the sufficient conditions are established for the existence of desired filtering parameters in terms of the solvability of certain linear matrix inequalities. Finally, a numerical simulation example is put forward to demonstrate the validity and effectiveness of the developed theoretical results.
- Subjects :
- 0209 industrial biotechnology
Computer simulation
Computer science
Cognitive Neuroscience
02 engineering and technology
Filter (signal processing)
Computer Science Applications
Nonlinear system
020901 industrial engineering & automation
Artificial Intelligence
Control theory
Control system
Stability theory
0202 electrical engineering, electronic engineering, information engineering
Filtering problem
020201 artificial intelligence & image processing
Matrix analysis
Data transmission
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 448
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........2104c50a1fd342febfa68fabd701bd42