Kalman Filter

Kalman Filter portes grátis

Kalman Filter

Introduction to State Estimation and Its Application for Embedded Systems

Marchthaler, Reiner; Dingler, Sebastian

Springer Fachmedien Wiesbaden

02/2026

235

Mole

Inglês

9783658503871

15 a 20 dias

Descrição não disponível.
Introductory Example.-State Space Representation.- Probability Theory.- Signal Theory.- Classical Kalman Filter.- Adaptive Kalman Filter (ROSE Filter).- Nonlinear Kalman Filters.- System Noise.- Quality Measures.- General Procedure.- Example: Bias Estimation.- Example: Kinematic Models. - Example: Measurement Noise with Offset.- Example: Alternative Motion Model of the Lunar Module.- Example: Covariance Matrix of Measurement Noise.- Example: Environmental Sensor with ROSE Filter.- Example: Lane Detection.- Example: DC Motor.- Example: Position and Velocity Estimation with EKF Filter.
Embedded System;System noise;ROSE filter;Probability theory;Signal theory;Kalman filter design;Real-time;Examples;Variance;eingebettete Systeme;State-space representation;Digital filters;Real-time systems;Stochastics