Robust finite frequency H ∞ distributed memory filter design for networked control systems with polytopic uncertainty

2020 ◽  
Author(s):  
Xuefeng Chen ◽  
Huiling Xu ◽  
Min Feng ◽  
Hui Wang
Keyword(s):  
Control Systems ◽  
Distributed Memory ◽  
Networked Control Systems ◽  
Filter Design ◽  
Networked Control ◽  
Polytopic Uncertainty ◽  
Finite Frequency

scholarly journals Finite-Frequency Filter Design for Networked Control Systems with Missing Measurements

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Dan Ye ◽  
Yue Long ◽  
Guang-Hong Yang
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Filter Design ◽  
Networked Control ◽  
Linear Matrix ◽  
Finite Frequency ◽  
Missing Measurements ◽  
Markov Jump ◽  
Filter Synthesis ◽  
Jump Systems

This paper is concerned with the problem of robust filter design for networked control systems (NCSs) with random missing measurements. Different from existing robust filters, the proposed one is designed in finite-frequency domain. With consideration of possible missing data, the NCSs are first modeled to Markov jump systems (MJSs). A finite-frequency stochasticH∞performance is subsequently given that extends the standardH∞performance, and then a sufficient condition guaranteeing the system to be with such a performance is derived in terms of linear matrix inequality (LMI). With the aid of this condition, a procedure of filter synthesis is proposed to deal with noises in the low-, middle-, and high-frequency domains, respectively. Finally, an example about the lateral-directional dynamic model of the NASA High Alpha Research Vehicle (HARV) is carried out to illustrate the effectiveness of the proposed method.

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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