L2-Gain analysis of event-triggered networked control systems: a discontinuous Lyapunov functional approach

2012 ◽  
Vol 23 (11) ◽  
pp. 1277-1300 ◽  
Author(s):  
Songlin Hu ◽  
Dong Yue
Keyword(s):  
Control Systems ◽  
Lyapunov Functional ◽  
Networked Control Systems ◽  
Functional Approach ◽  
Networked Control ◽  
Discontinuous Lyapunov Functional ◽  
Event Triggered ◽  
L2 Gain

L2-gain analysis for dynamic event-triggered networked control systems with packet losses and quantization

Automatica ◽  
2021 ◽  
Vol 129 ◽  
pp. 109587
Author(s):  
Chunyu Wu ◽  
Xudong Zhao ◽  
Weiguo Xia ◽  
Ji Liu ◽  
Tamer Başar
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Packet Losses ◽  
Dynamic Event ◽  
Event Triggered ◽  
L2 Gain

scholarly journals An Optimized Triggering Algorithm for Event-Triggered Control of Networked Control Systems

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1262
Author(s):  
Sunil Kumar Mishra ◽  
Amitkumar V. Jha ◽  
Vijay Kumar Verma ◽  
Bhargav Appasani ◽  
Almoataz Y. Abdelaziz ◽  
...  
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control ◽  
Pendulum System ◽  
Uniform Sampling ◽  
Inverted Pendulum System ◽  
Event Triggering ◽  
Non Uniform Sampling ◽  
System States ◽  
Event Triggered

This paper presents an optimized algorithm for event-triggered control (ETC) of networked control systems (NCS). Initially, the traditional backstepping controller is designed for a generalized nonlinear plant in strict-feedback form that is subsequently extended to the ETC. In the NCS, the controller and the plant communicate with each other using a communication network. In order to minimize the bandwidth required, the number of samples to be sent over the communication channel should be reduced. This can be achieved using the non-uniform sampling of data. However, the implementation of non-uniform sampling without a proper event triggering rule might lead the closed-loop system towards instability. Therefore, an optimized event triggering algorithm has been designed such that the system states are always forced to remain in stable trajectory. Additionally, the effect of ETC on the stability of backstepping control has been analyzed using the Lyapunov stability theory. Two case studies on an inverted pendulum system and single-link robot system have been carried out to demonstrate the effectiveness of the proposed ETC in terms of system states, control effort and inter-event execution time.

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