Minimum-variance filtering for networked control systems with multi-sample transmission delays and multiple packet dropouts via non-probabilistic approach

2009 ◽  
Author(s):  
M. Moayedi ◽  
Y.K. Foo ◽  
Y.C. Soh
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Probabilistic Approach ◽  
Minimum Variance ◽  
Networked Control ◽  
Packet Dropouts ◽  
Transmission Delays

Observer-Based Feedback Control of Networked Control Systems With Delays and Packet Dropouts

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Qixin Zhu ◽  
Kaihong Lu ◽  
Yonghong Zhu
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Networked Control System ◽  
Networked Control ◽  
Discrete Time System ◽  
Packet Dropouts ◽  
Transmission Delays ◽  
Inequality Theory ◽  
Time Varying Parameter ◽  
Theoretical Results

The observer-based feedback controller of a new linear networked control system (NCS) with both delays and packet dropouts is designed when the state information is not fully available. With the effects of transmission delays, NCSs are modeled as a discrete-time system with time-varying parameter. The occurrence of packet dropouts is modeled as a Bernoulli event in the NCSs. Under certain conditions, the observer-based controller is proved to render the corresponding NCSs exponentially mean-square stable based on Lyapunov stability theorem and matrix inequality theory. Finally, numerical simulations are included to demonstrate the theoretical results.

scholarly journals Active-Varying Sampling-Based Fault Detection Filter Design for Networked Control Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Long Wang ◽  
Tian-Bao Wang ◽  
Wei-Wei Che
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Networked Control Systems ◽  
Filter Design ◽  
Sampling Period ◽  
Networked Control ◽  
Packet Dropouts ◽  
Fault Detection Filter ◽  
Simulation Results ◽  
Detection Filter

This paper is concerned with fault detection filter design for continuous-time networked control systems considering packet dropouts and network-induced delays. The active-varying sampling period method is introduced to establish a new discretized model for the considered networked control systems. The mutually exclusive distribution characteristic of packet dropouts and network-induced delays is made full use of to derive less conservative fault detection filter design criteria. Compared with the fault detection filter design adopting a constant sampling period, the proposed active-varying sampling-based fault detection filter design can improve the sensitivity of the residual signal to faults and shorten the needed time for fault detection. The simulation results illustrate the merits and effectiveness of the proposed fault detection filter design.

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