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Min-max Kalman filtering
I. Yaesh,
U. Shaked
*
*
Corresponding author for this work
School of Electrical Engineering
IMI Advanced Sytems Divsion
Research output
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Contribution to journal
›
Article
›
peer-review
12
Scopus citations
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Dive into the research topics of 'Min-max Kalman filtering'. Together they form a unique fingerprint.
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Keyphrases
Min-max
100%
Exogenous Disturbances
100%
Kalman Filter
100%
Noisy Measurements
50%
Mean Square Estimator
50%
Estimation Error
50%
Maximum Principle
50%
Cost Function
50%
Illustrative Examples
50%
Stationary Case
50%
Noise Measurement
50%
Noise Statistics
50%
Additive White Gaussian Noise
50%
Minimax Problem
50%
Linear Matrix Inequality
50%
Linear Continuous-time Systems
50%
Filter Gain
50%
Error Covariance Matrix
50%
H. Performance Indices
50%
Maneuvering Target
50%
Riccati Difference Equation
50%
Relevant Costs
50%
Optimal State Estimation
50%
Estimation Error Covariance
50%
Coupled Riccati Equations
50%
Mathematics
Min-Max
100%
Kalman Filtering
100%
Upper Bound
50%
Mean Square
50%
Continuous Time
50%
Minimizes
50%
Cost Function
50%
Matrix (Mathematics)
50%
Statistics
50%
Illustrative Example
50%
Difference Equation
50%
Covariance Matrix
50%
Riccati Equation
50%
Linear Matrix Inequality
50%
Time System
50%
Error Covariance
50%
Stationary Case
50%
Engineering
Energy Engineering
100%
Exogenous Disturbance
100%
Filtration
100%
Max
100%
Estimation Error
100%
Maximum Principle
50%
Cost Function
50%
H-Performance
50%
Measurement Noise
50%
Riccati Equation
50%
Kalman Filter
50%
State Estimation
50%
Continuous-Time System
50%
Error Covariance Matrix
50%