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Estimation over lossy networks: A dynamic game approach
Jun Moon
,
Tamer Başar
Electrical and Computer Engineering
Coordinated Science Lab
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Dive into the research topics of 'Estimation over lossy networks: A dynamic game approach'. Together they form a unique fingerprint.
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Keyphrases
Minimax
100%
Lossy Networks
100%
Game Approach
100%
Dynamic Games
100%
Stochastic Riccati Equation
100%
State Estimator
75%
Attenuation Parameters
50%
Disturbance Attenuation
50%
Estimation Problem
25%
Asymptotic Behavior
25%
Dynamical Systems
25%
Random Measurements
25%
State Estimation
25%
Kalman Filter
25%
Perturbation Term
25%
Arrival Rate
25%
Adversary
25%
Arrival Process
25%
Bernoulli Process
25%
Explicit Conditions
25%
Intermittent Observations
25%
System Disturbance
25%
Mathematics
Stochastics
100%
Lossy
100%
Dynamic Game
100%
Minimax
57%
Riccati Equation
57%
Dynamical System
14%
Asymptotic Behavior
14%
Kalman Filtering
14%
Arrival Process
14%
arrival rate λ
14%
Bernoulli Process
14%