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 ◽  
...  

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.

2013 ◽  
Vol 846-847 ◽  
pp. 778-781
Author(s):  
Hong Liang Guo ◽  
Shao Ying Kong

Wireless network control system is characterized by high uncertain delay time, thus the state of the system can not be fully observed. The fault characteristic is interfered by time delay so to be unstable, leading inaccurate fault detection. Traditional fault detection method of wireless network control system is usually based on the characteristics of the stability of the network status data. If the network has time delay fluctuations, it is unable to obtain accurate fault detection results. This paper presents a stochastic delay fault detection method. It builds a state space model of the system, analyzes the delay vector between the sensor end of the system and the controller end, depending on the delay residual signal of the system and the corresponding evaluation function to obtain the system failure detection result. The final simulation result shows that this method has high accuracy in the detection of Stability and randomness of the wireless network fault detection. Thus it is an effective wireless network control system fault detection method.


2012 ◽  
Vol 349 (7) ◽  
pp. 2420-2430 ◽  
Author(s):  
Jianjun Bai ◽  
Hongye Su ◽  
Jinfeng Gao ◽  
Tao Sun ◽  
Zhengguang Wu

2011 ◽  
Vol 128-129 ◽  
pp. 629-632
Author(s):  
Wu Xin Huang ◽  
Shi Li Tan ◽  
Yi Qin Li

A designed network control system of multi mobile robot is presented. It is based on wireless distribution system. One or more mobile robot and some other devices are connected via wireless network to form a network control system. More than one wireless node is provided in order to realize distribution wireless network and extend the coverage range. The hierarchy control structure is used in the robot control system. It is optimized by the features of the network control system especially in time delay. By testing the time delay in different network environment, the performance of the whole control system can be proved.


2013 ◽  
Vol 846-847 ◽  
pp. 795-798
Author(s):  
Jiao Meng ◽  
Qi Hua Xu ◽  
Xiao Xiao

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.


2019 ◽  
Vol 27 (11) ◽  
pp. 2392-2401
Author(s):  
刘 蓉 LIU Rong ◽  
黄大庆 HUANG Da-qing ◽  
姜定国 JIANG Ding-guo

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