Abstract
This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems (NCSs). Two crucial factors, packet dropouts and random actuator failure, are taken into consideration simultaneously. Takagi-Sugeno (T-S) fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. A stochastic function, which is related to Markovian variables, is adopted to depict the actuator failure. An innovative adaptive event-triggered mechanism is introduced to save computational resource. In the framework of Lyapunov stability theory, an adaptive event-triggered fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and <formula><tex>$\mathcal{H}_{\infty}$</tex></formula> performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Fuzzy Systems |
| DOIs | |
| Publication status | Accepted/In press - 2019 Jan 1 |
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Keywords
- actuator failure
- Actuators
- Adaptation models
- Adaptive event-triggered mechanism
- Adaptive systems
- Delays
- Fuzzy control
- fuzzy dynamic output feedback control
- networked control systems (NCSs)
- Output feedback
- packet dropouts
- Symmetric matrices
ASJC Scopus subject areas
- Control and Systems Engineering
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics
Cite this
Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure. / Zhang, Zhenxing; Liang, Hongjing; Wu, Chengwei; Ahn, Choon Ki.
In: IEEE Transactions on Fuzzy Systems, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Adaptive Event-Triggered Output Feedback Fuzzy Control for Nonlinear Networked Systems with Packet Dropouts and Actuator Failure
AU - Zhang, Zhenxing
AU - Liang, Hongjing
AU - Wu, Chengwei
AU - Ahn, Choon Ki
PY - 2019/1/1
Y1 - 2019/1/1
N2 - This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems (NCSs). Two crucial factors, packet dropouts and random actuator failure, are taken into consideration simultaneously. Takagi-Sugeno (T-S) fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. A stochastic function, which is related to Markovian variables, is adopted to depict the actuator failure. An innovative adaptive event-triggered mechanism is introduced to save computational resource. In the framework of Lyapunov stability theory, an adaptive event-triggered fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and $\mathcal{H}_{\infty}$ performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.
AB - This paper studies the problem of adaptive event-triggered dynamic output feedback fuzzy control for nonlinear networked control systems (NCSs). Two crucial factors, packet dropouts and random actuator failure, are taken into consideration simultaneously. Takagi-Sugeno (T-S) fuzzy model is introduced to describe considered systems. The Bernoulli random distribution process is employed to depict the phenomenon of data missing. A stochastic function, which is related to Markovian variables, is adopted to depict the actuator failure. An innovative adaptive event-triggered mechanism is introduced to save computational resource. In the framework of Lyapunov stability theory, an adaptive event-triggered fuzzy dynamic output feedback controller is designed to guarantee the stochastic stability and $\mathcal{H}_{\infty}$ performance for considered systems. Finally, simulation results are provided to demonstrate the usefulness of the proposed control strategy.
KW - actuator failure
KW - Actuators
KW - Adaptation models
KW - Adaptive event-triggered mechanism
KW - Adaptive systems
KW - Delays
KW - Fuzzy control
KW - fuzzy dynamic output feedback control
KW - networked control systems (NCSs)
KW - Output feedback
KW - packet dropouts
KW - Symmetric matrices
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UR - http://www.scopus.com/inward/citedby.url?scp=85059652086&partnerID=8YFLogxK
U2 - 10.1109/TFUZZ.2019.2891236
DO - 10.1109/TFUZZ.2019.2891236
M3 - Article
JO - IEEE Transactions on Fuzzy Systems
JF - IEEE Transactions on Fuzzy Systems
SN - 1063-6706
ER -