Invariant set-based robust fault detection and optimal fault estimation for discrete-time LPV systems with bounded uncertainties

2019 ◽  
Vol 50 (16) ◽  
pp. 2962-2978
Author(s):  
Junbo Tan ◽  
Feng Xu ◽  
Xueqian Wang ◽  
Jun Yang ◽  
Bin Liang
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Invariant Set ◽  
Fault Estimation ◽  
Lpv Systems ◽  
Robust Fault Detection ◽  
Bounded Uncertainties

scholarly journals Invariant Set-Based Analysis of Minimal Detectable Fault for Discrete-Time LPV Systems With Bounded Uncertainties

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 152564-152575
Author(s):  
Junbo Tan ◽  
Sorin Olaru ◽  
Monica Roman ◽  
Feng Xu ◽  
Bin Liang
Keyword(s):  
Discrete Time ◽  
Invariant Set ◽  
Lpv Systems ◽  
Bounded Uncertainties

scholarly journals Optimal Robust Fault Detection for Linear Discrete Time Systems

2008 ◽  
Vol 2008 ◽  
pp. 1-16 ◽  
Author(s):  
Nike Liu ◽  
Kemin Zhou
Keyword(s):  
Fault Detection ◽  
Discrete Time ◽  
Filter Design ◽  
Algebraic Riccati Equation ◽  
Optimization Criteria ◽  
Robust Detection ◽  
Discrete Time Systems ◽  
Robust Fault Detection ◽  
Time Systems ◽  
Detection Filter

This paper considers robust fault-detection problems for linear discrete time systems. It is shown that the optimal robust detection filters for several well-recognized robust fault-detection problems, such asℋ−/ℋ∞,ℋ2/ℋ∞, andℋ∞/ℋ∞problems, are the same and can be obtained by solving a standard algebraic Riccati equation. Optimal filters are also derived for many other optimization criteria and it is shown that some well-studied and seeming-sensible optimization criteria for fault-detection filter design could lead to (optimal) but useless fault-detection filters.

scholarly journals Fault estimation for discrete time LPV systems under noisy scheduling measurements

2015 ◽  
Vol 48 (21) ◽  
pp. 1018-1023 ◽  
Author(s):  
Tamas Luspay ◽  
Balázs Kulcsár ◽  
Karolos Grigoriadis
Keyword(s):  
Discrete Time ◽  
Fault Estimation ◽  
Lpv Systems
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