Computation of an optimal communication schedule in a nonlinear networked control system using sum-of-squares

2012 ◽  
Vol 61 (3) ◽  
pp. 387-396 ◽  
Author(s):  
Tingli Su ◽  
Stefano Longo ◽  
Guido Herrmann ◽  
Phil Barber
Keyword(s):  
Control System ◽  
Networked Control System ◽  
Sum Of Squares ◽  
Networked Control ◽  
Communication Schedule ◽  
Nonlinear Networked Control System

Modeling and Simulation of Nonlinear Networked Control System Based on Fuzzy Control

2012 ◽  
Vol 426 ◽  
pp. 368-371
Author(s):  
Sheng Li Song ◽  
Y. Chen ◽  
S.J. Huang ◽  
L.H Yang ◽  
R. He
Keyword(s):  
Control System ◽  
Nonlinear Problem ◽  
Control Method ◽  
Fuzzy Controller ◽  
Good Control ◽  
Networked Control System ◽  
Networked Control ◽  
Packet Dropout ◽  
Data Packet Dropout ◽  
Nonlinear Networked Control System

In the nonlinear networked control system (NCS), the conventional control method is difficult to achieve good control performance, due to the nonlinear problem associated with the disturbance factors, such as network induced time delay and data packet dropout. Considering this situation, this paper is aimed to propose a nonlinear networked control system based on T-S fuzzy model, which does not rely on specific network parameters or mathematical model. The nonlinear problem and the uncertainties of network can be both processed by the designed fuzzy controller. Then this approach is applied to nonlinear motor servo system, simulation of the example model is implemented in Matlab/Simulink associated with True Time toolbox. The results show that the proposed method not only is convenient for modeling, but also upgrade the performance of control system.

scholarly journals New Stability Criteria for Event-Triggered Nonlinear Networked Control System with Time Delay

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Hongqian Lu ◽  
Yue Hu ◽  
Chaoqun Guo ◽  
Wuneng Zhou
Keyword(s):  
Control System ◽  
Time Delay ◽  
Networked Control System ◽  
Networked Control ◽  
Stability Criteria ◽  
Stability And Stabilization ◽  
The Stability ◽  
Nonlinear Networked Control System ◽  
System With Time Delay ◽  
Event Triggered

This note focuses on the stability and stabilization problem of nonlinear networked control system with time delay. To alleviate the burden of transformation channel and shorten the dynamic process simultaneously, an improved event-triggered scheme is proposed. This paper employs an improved time delay method to enhance the performance and reduce the delay upper bound conservatism. Less conservative stability criteria related to the order N are derived by establishing an augmented Lyapunov-Krasovskii functional manufactured for the use of Bessel-Legendre inequality. In addition, an event-triggered controller is designed for nonlinear networked control system with time delay. At last, numerical examples are proposed to verify the effectiveness of the new method.

Robust H∞ Fuzzy Control for Nonlinear Networked Control System and its Application

2014 ◽  
Vol 1022 ◽  
pp. 406-410
Author(s):  
Qing Feng Wang ◽  
Hong Bo Wang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Fuzzy Model ◽  
Networked Control System ◽  
Networked Control ◽  
Design System ◽  
Membership Functions ◽  
Pendulum System ◽  
Inverted Pendulum System ◽  
Nonlinear Networked Control System

The paper studies the effect of networks with transmission delay in the feedback loop of a nonlinear networked control system (NCS). The nonlinear system is modeled by a T-S fuzzy model, and transmission delays are modeled by a finite state Markov process. The fuzzy controller’s membership functions can be different from the plant’s. The membership functions of the plant and the fuzzy controller are incorporated into the controller design. System performance is measured via an norm from disturbance to error and the controller is computed by sum of square approach. Finally we applied these results to an inverted pendulum system. Theoretical analysis and simulation results show that the control strategy studied in this paper is effective and feasible.

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