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A New Sampled-Data Output-Feedback Controller Design of Nonlinear Systems via Fuzzy Affine Models
- Source :
- Ji, W, Qiu, J & Lam, H-K 2022, ' A new sampled-data output feedback controller design of nonlinear systems via fuzzy-affine-models ', IEEE Transactions on Cybernetics, vol. 52, no. 3, pp. 1681-1690 . https://doi.org/10.1109/TCYB.2020.2984331
- Publication Year :
- 2022
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2022.
-
Abstract
- This article focuses on the sampled-data output-feedback control problem for nonlinear systems represented by Takagi-Sugeno fuzzy affine models. An input delay approach is adopted to describe the sample-and-hold behavior of the measurement output. Via augmenting the system states with the control input, the resulting closed-loop system is converted into a singular system first. Based on the piecewise quadratic Lyapunov-Krasovskii functionals, some novel results on the sampled-data piecewise affine output-feedback controller design are attained by employing some convexification techniques. The simulation studies are presented to illustrate the effectiveness of the proposed scheme.
- Subjects :
- Controller design
Output feedback
Scheme (programming language)
0209 industrial biotechnology
Computer science
02 engineering and technology
Fuzzy logic
Computer Science Applications
Human-Computer Interaction
Nonlinear system
020901 industrial engineering & automation
Quadratic equation
Computer Science::Systems and Control
Control and Systems Engineering
Control theory
0202 electrical engineering, electronic engineering, information engineering
Piecewise
020201 artificial intelligence & image processing
Affine transformation
Electrical and Electronic Engineering
computer
Software
Information Systems
computer.programming_language
Subjects
Details
- ISSN :
- 21682275 and 21682267
- Volume :
- 52
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Cybernetics
- Accession number :
- edsair.doi.dedup.....ea30701adb3fd74b1ab37d4de238c50b