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Nonlinear Continuous-Time System H∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
by
Wang, Xiao-Yan
, Chang, Xiao-Heng
in
Approximation
/ Artificial Intelligence
/ Bandwidths
/ Communication
/ Communications networks
/ Complex Systems
/ Computational Intelligence
/ Computer Science
/ Continuous time systems
/ Control systems
/ Controllers
/ Damping
/ Feedback control
/ Fuzzy sets
/ H-infinity control
/ Linear matrix inequalities
/ Sensors
/ State feedback
/ Variables
2023
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Nonlinear Continuous-Time System H∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
by
Wang, Xiao-Yan
, Chang, Xiao-Heng
in
Approximation
/ Artificial Intelligence
/ Bandwidths
/ Communication
/ Communications networks
/ Complex Systems
/ Computational Intelligence
/ Computer Science
/ Continuous time systems
/ Control systems
/ Controllers
/ Damping
/ Feedback control
/ Fuzzy sets
/ H-infinity control
/ Linear matrix inequalities
/ Sensors
/ State feedback
/ Variables
2023
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Do you wish to request the book?
Nonlinear Continuous-Time System H∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
by
Wang, Xiao-Yan
, Chang, Xiao-Heng
in
Approximation
/ Artificial Intelligence
/ Bandwidths
/ Communication
/ Communications networks
/ Complex Systems
/ Computational Intelligence
/ Computer Science
/ Continuous time systems
/ Control systems
/ Controllers
/ Damping
/ Feedback control
/ Fuzzy sets
/ H-infinity control
/ Linear matrix inequalities
/ Sensors
/ State feedback
/ Variables
2023
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Nonlinear Continuous-Time System H∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
Journal Article
Nonlinear Continuous-Time System H∞ Control Based on Dynamic Quantization and Event-triggered Mechanism
2023
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Overview
The
H
∞
state feedback control problem of Takagi–Sugneo (T–S) fuzzy system with dynamic quantization and event-triggered mechanism is studied in this paper. Based on T–S fuzzy model, a new quantization scheme is proposed to solve the problem of synchronous quantization and event-triggered mechanism in continuous-time system. A new event-triggered communication scheme is proposed to improve the utilization rate of network resources. The sufficient conditions for the stability of
H
∞
state feedback control are given by means of linear matrix inequalities. Finally, the effectiveness of the proposed method is verified by a simulation of the spring-mass-damping system.
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