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Found 4 papers, 0 papers with code
Nanometer Scanning with Micrometer Sensing: Beating Quantization Constraints in Lissajous Trajectory Tracking
This paper addresses the task of tracking Lissajous trajectories in the presence of quantized positioning sensors.
Reinforcement Learning Approach to Estimation in Linear Systems
This paper addresses two important estimation problems for linear systems, namely system identification and model-free state estimation.
Distributed Newton Optimization with Maximized Convergence Rate
As the second step towards our goal we complement the proposed method with a fully distributed method for estimating the optimal step size that maximizes convergence speed.
Distributed Optimization
Optimization and Control
On Convergence Rate of the Gaussian Belief Propagation Algorithm for Markov Networks
Gaussian Belief Propagation (BP) algorithm is one of the most important distributed algorithms in signal processing and statistical learning involving Markov networks.
