TY - JOUR
T1 - Generalization of Filtering Sensitivity Tradeoffs in Continuous- and Discrete-Time Systems
T2 - A Simplified Approach
AU - Wan, Neng
AU - Li, Dapeng
AU - Song, Lin
AU - Hovakimyan, Naira
N1 - This work was supported in part by the AFOSR under Grant FA9550-21-1-0411, in part by the NASA under Grant 80NSSC22M0070 and Grant 80NSSC20M0229, and in part by the NSF under Grant CMMI-2135925.
PY - 2024/3/1
Y1 - 2024/3/1
N2 - A simplified analysis is performed on the Bode-type filtering sensitivity tradeoff integrals, which capture the sensitivity characteristics of the estimate and estimation error with respect to the process input or estimated signal in continuous- and discrete-time linear time-invariant filtering systems. Compared with the previous analyses based on complex analysis and Cauchy's residue theorem, the analysis results derived from the simplified method are more explicit, thorough, and require less restrictive assumptions. For continuous-time filtering systems, our simplified analysis reveals that apart from the nonminimum phase zero sets reported in the previous literature, the value and boundedness of filtering sensitivity integrals are also determined by the leading coefficients, relative degrees, minimum phase zeros, and poles of plants and filters. By invoking the simplified method, a comprehensive analysis of the discrete-time filtering sensitivity integrals is conducted for the first time. Numerical examples are provided to verify the validity and correctness of the simplified analysis.
AB - A simplified analysis is performed on the Bode-type filtering sensitivity tradeoff integrals, which capture the sensitivity characteristics of the estimate and estimation error with respect to the process input or estimated signal in continuous- and discrete-time linear time-invariant filtering systems. Compared with the previous analyses based on complex analysis and Cauchy's residue theorem, the analysis results derived from the simplified method are more explicit, thorough, and require less restrictive assumptions. For continuous-time filtering systems, our simplified analysis reveals that apart from the nonminimum phase zero sets reported in the previous literature, the value and boundedness of filtering sensitivity integrals are also determined by the leading coefficients, relative degrees, minimum phase zeros, and poles of plants and filters. By invoking the simplified method, a comprehensive analysis of the discrete-time filtering sensitivity integrals is conducted for the first time. Numerical examples are provided to verify the validity and correctness of the simplified analysis.
KW - Filtering tradeoffs
KW - linear systems
KW - sensitivity analysis
KW - simplified method
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U2 - 10.1109/TAC.2023.3328753
DO - 10.1109/TAC.2023.3328753
M3 - Article
AN - SCOPUS:85181569191
SN - 0018-9286
VL - 69
SP - 1728
EP - 1735
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 3
ER -