Nonlinear Programming Approach to Filter Tuning Dylan M. Asmar and Greg J. Eslinger May 15,

Source URL: ssl.mit.edu

1 Nonlinear Ego-Motion Estimation from Optical Flow for Online Control of a Quadrotor UAV Volker Grabe, Heinrich H. B¨ulthoff, Davide Scaramuzza, and Paolo Robuffo Giordano

Source URL: rpg.ifi.uzh.ch

• Control theory
• Robot control
• Classical mechanics
• Rotational symmetry
• Physical quantities
• Extended Kalman filter
• Homography
• Kalman filter
• Kinematics
• Angular velocity
• Damping
• Optical flow

Open Boundaries for the Nonlinear Schr¨odinger Equation A. Soffer and C. Stucchio December 13, 2006 Abstract We present a new algorithm, the Time Dependent Phase Space Filter

Source URL: www.chrisstucchio.com

Adaptive Inverse Control based on Linear and Nonlinear Adaptive Filtering Bernard Widrow and Gregory L. Plett Department of Electrical Engineering, Stanford University, Stanford, CAAbstract

Source URL: www-isl.stanford.edu

• Engineering
• Filter theory
• Control theory
• Digital signal processing
• Electrical engineering
• Telecommunications engineering
• Cybernetics
• Signal processing
• Adaptive filter
• Linear filter
• Nonlinear control
• Adaptive control

Keyframe-Based Visual-Inertial SLAM Using Nonlinear Optimization Stefan Leutenegger∗ , Paul Furgale∗ , Vincent Rabaud† , Margarita Chli∗ , Kurt Konolige‡ and Roland Siegwart∗ ∗ Autonomous Systems Lab (ASL)

Source URL: www.margaritachli.com

• Robotics
• Technology
• Aircraft instruments
• Engineering
• Theory of relativity
• Robot control
• Aerospace engineering
• Sensors
• Inertial measurement unit
• Simultaneous localization and mapping
• Kalman filter
• Inertial frame of reference

Van Trees, Harry L., Kristine L. Bell with Zhi Tian. Detection, Estimation, and Modulation Theory – Part I – Detection, Estimation, and Filtering Theory. Hoboken, New Jersey: John Wiley & Sons, Inc., 2013, 1151 pp. $

Source URL: www.signalprocessingsociety.org

• Electronic engineering
• Statistical inference
• Linear filters
• Robot control
• Estimation theory
• Monte Carlo methods
• Kalman filter
• Nonlinear filter
• Importance sampling
• Statistics
• Control theory
• Signal processing

6 Sequential Data Assimilation for Nonlinear Dynamics: The Ensemble Kalman Filter G EIR EVENSEN Nansen Environmental and Remote Sensing Center, Bergen, Norway

Source URL: enkf.nersc.no

This discussion paper is/has been under review for the journal Nonlinear Processes in Geophysics (NPG). Please refer to the corresponding final paper in NPG if available. Discussion Paper Nonlin. Processes Geophys. Disc

Source URL: www.nonlin-processes-geophys-discuss.net

• Mathematics
• Control theory
• Regression analysis
• Linear filters
• Robot control
• Kalman filter
• Levenberg–Marquardt algorithm
• Data assimilation
• Non-linear least squares
• Statistics
• Estimation theory
• Least squares

Application of Particle Filter to Identification of Tsunami Simulation Model Kazuyuki Nakamura1 , Tomoyuki Higuchi2 and Naoki Hirose3 1 The Graduate University for Advanced Studies / JST CRESTMinami-Azabu, Minato-

Source URL: daweb.ism.ac.jp

• Estimation theory
• Control theory
• Bayesian statistics
• Linear filters
• Robot control
• Data assimilation
• Kalman filter
• Tsunami
• Nonlinear filter
• Statistics
• Science
• Applied mathematics

1 Series Expansion Approximations of Brownian Motion for Non-Linear Kalman Filtering of Diffusion Processes Simon Lyons, Simo S¨arkk¨a, Senior Member, IEEE, and Amos Storkey

Source URL: homepages.inf.ed.ac.uk

• Estimation theory
• Robot control
• Control theory
• Unscented transform
• Extended Kalman filter
• Kalman filter
• Nonlinear filter
• Particle filter
• Gaussian filter
• Statistics
• Stochastic processes
• Linear filters