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Linear filter
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#	Item
831	Observers for Interconnected Nonlinear and Linear Systems ? H˚avard Fjær Grip a , Ali Saberi a , and Tor A. Johansen b a School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA 9 Add to Reading List Source URL: www-robotics.jpl.nasa.gov Language: English - Date: 2013-04-18 00:17:12 Mathematics State observer Kalman filter State space Rotation matrix Control theory Cybernetics Systems theory
832	Non linear filtering and optimal investment under partial information for stochastic volatility models Dalia Ibrahim; Frédéric Abergel∗; July 6, 2014 hal[removed], version[removed]Jul 2014 Add to Reading List Source URL: hal.archives-ouvertes.fr Language: English - Date: 2014-07-07 02:50:00 Filtering problem Brownian motion Black–Scholes Wiener process Heston model Girsanov theorem Malliavin calculus Martingale Kalman filter Statistics Stochastic processes Stochastic differential equation
833	Microsoft Word - kalnay_120308.doc Add to Reading List Source URL: www.nws.noaa.gov Language: English - Date: 2009-07-30 14:25:59 Statistical forecasting Estimation theory Weather prediction Bayesian statistics Linear filters Data assimilation Ensemble Kalman filter Ensemble forecasting Eugenia Kalnay Statistics Atmospheric sciences Meteorology
834	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: lis.csail.mit.edu Language: English - Date: 2013-10-03 18:52:16 Estimation theory Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Robot control
835	Figure 1 - Smoothed Factor from Slope-Employment Example Add to Reading List Source URL: www.federalreserve.gov Language: English - Date: 2007-09-19 11:25:01 Control theory Markov models Linear filters Time series analysis Kalman filter Robot control White noise Parameter Electronic filter Statistics Electronic engineering Signal processing
836	Efficient planning in non-Gaussian belief spaces and its application to robot grasping Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, and Russ Tedrake Abstract The limited nature of robot sensors make many important Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-10-03 13:11:09 Robot control Cybernetics Linear filters Markov models Kalman filter Particle filter Partially observable Markov decision process Normal distribution Recursive Bayesian estimation Statistics Control theory Estimation theory
837	Belief space planning assuming maximum likelihood observations Robert Platt Jr., Russ Tedrake, Leslie Kaelbling, Tomas Lozano-Perez Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Techn Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-02-22 11:30:08 Stochastic control Optimal control Estimation theory Robot control Kalman filter Partially observable Markov decision process Linear-quadratic-Gaussian control Algebraic Riccati equation Maximum likelihood Control theory Statistics Systems theory
838	Magnetic Localization for Perching UAVs on Powerlines Joseph Moore and Russ Tedrake Abstract— Perching on powerlines to recharge provides a unique opportunity to extend the mission duration capabilities of small-scale Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2011-08-27 21:33:58 Robot control Control theory Linear filters Kalman filter Magnetic field Magnetometer Signal processing Magnet Dipole Electromagnetism Physics Magnetism
839	Frequently Asked Questions and Answers Associated with Deployment of MTL 46.2 mm PTFE Filters in the PM2.5, PM-10, and Low-volume Lead (Pb) Monitoring Networks February 15, 2011 (Additional Q’s and A’s will be added Add to Reading List Source URL: www.epa.gov Language: English - Date: 2011-02-24 10:55:18 Signal processing filter Optical filters Filters Electronic design Linear filters Mechanical filter Photographic filter Polytetrafluoroethylene Water filter Technology Electronic engineering Electromagnetism
840	Reinforcement learning with Gaussian processes Yaakov Engel Dept. of Computing Science, University of Alberta, Edmonton, Canada Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Cana Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:01 Control theory Linear filters Stochastic differential equations Kalman filter Markov decision process Normal distribution Gaussian process Q-learning SARSA Statistics Markov models Stochastic processes

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