scholarly journals State Estimation-Based Event-Triggered $H_\infty$ Control for Multi-Delay Stochastic Network Control System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 74091-74103 ◽  
Author(s):  
Hongqian Lu ◽  
Yue Hu ◽  
Chaoqun Guo ◽  
Wuneng Zhou
Keyword(s):  
Control System ◽  
State Estimation ◽  
Network Control ◽  
Stochastic Network ◽  
Network Control System ◽  
Event Triggered

Study on Stability and Robust Control of Stochastic Network Control System

2014 ◽  
Vol 602-605 ◽  
pp. 1023-1026 ◽  
Author(s):  
Cheng Wang ◽  
Cong Jun Rao
Keyword(s):  
Control System ◽  
Robust Control ◽  
Research Trends ◽  
Network Control ◽  
Stochastic Network ◽  
Information Control ◽  
Feedback Control System ◽  
Network Control System ◽  
The Stability ◽  
Main Ideas

Network control system is a feedback control system of realizing the exchange of information control system in different regional components by using the digital communication. Focusing on the stability and robust control of stochastic network control system, this paper introduces the research history and the newest research trends, and presents many widespread theoretical and applications problems. Moreover, assumptions, main ideas, and conclusions of literature related to stochastic network control system are reviewed and commented.

scholarly journals State Estimation for Wireless Network Control System with Stochastic Uncertainty and Time Delay Based on Sliding Mode Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Pengfei Guo ◽  
Jie Zhang ◽  
Hamid Reza Karimi ◽  
Yurong Liu ◽  
Ming Lyu ◽  
...  
Keyword(s):  
Control System ◽  
Time Delay ◽  
State Estimation ◽  
Wireless Network ◽  
Sliding Mode ◽  
Network Control ◽  
Sliding Surface ◽  
Network Control System ◽  
Stochastic Uncertainty ◽  
System States

State estimation problem is considered for a kind of wireless network control system with stochastic uncertainty and time delay. A sliding mode observer is designed for the system under the situation that no missing measurement occurs and system uncertainty happens in a stochastic way. The observer designed for the system can guarantee the system states will be driven onto the sliding surface under control law, and the sliding motion of system states on sliding surface will be stable. By constructing proper Lyapunov-Krasovskii functional, sufficient conditions are acquired via linear matrix inequality. Finally, simulation result is employed to show the effectiveness of the proposed method.

SIMULATION OF ATTACK ON SYNCHRONIZATION NETWORK CONTROL SYSTEM

2020 ◽  
Vol 72 ◽  
pp. 35-47
Author(s):  
A. K. Kanaev ◽  
◽  
A. N. Gorbach ◽  
E. V. Oparin, ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Network Control ◽  
Network Control System

Fault Diagnosis Method for a Network Control System with Long-Time Delay and Data Packet Loss Based on H∞ Filtering

2013 ◽  
Vol 846-847 ◽  
pp. 795-798
Author(s):  
Jiao Meng ◽  
Qi Hua Xu ◽  
Xiao Xiao
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Time Delay ◽  
Packet Loss ◽  
Estimation Error ◽  
Network Control ◽  
Data Packet ◽  
Practical Significance ◽  
Network Control System ◽  
Long Time

Improving network control system---NCS reliability and safety has important practical significance because NCS is a hot research subject in these years. Fault diagnosis methods are researched in this paper according to NCS with long-time delay and data packet loss. Firstly, given a NCS with long-time delay, a state observer is structured. Secondly, make the state estimation error equation equivalent to an asynchronous dynamical system having event incidence constraint according to whether the system having data packets loss. The problem of fault diagnosis is converted to filtering problem through structuring filtering residual system based on the observer, then giving a corresponding filter designing algorithm. The designed fault diagnosis filter system not only make sure the stability of the closed loop system but also make the residual systems norm less than given reduction level. Finally, the simulation results prove that the algorithm can diagnose faults effectively.

Sign in / Sign up

Export Citation Format

Share Document