Fundamentals of Kalman Filtering: A Practical Approach, Fourth Edition (Progress in Aeronautics and Astronautics) - Image 1

£109.00

AIAA (American Institute of Aeronautics & Astronautics) Fundamentals of Kalman Filtering: A Practical Approach, Fourth Edition (Progress in Aeronautics and Astronautics)

Name: Fundamentals of Kalman Filtering: A Practical Approach, Fourth Edition (Progress in Aeronautics and Astronautics)
Brand: AIAA (American Institute of Aeronautics & Astronautics)
Price: 109.0 GBP
Availability: InStock

Aviation

Price data last checked 64 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£109 today · previous high £109 · all-time low £23

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 27 days • 27 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 27 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £109 (25 days, 92.6%)

Price range: £23 - £109

Price levels: 2 different prices over 27 days

Description

In 2008 the National Academy of Engineering awarded Rudolf Kalman the Charles Stark Draper Prize--the engineering equivalent of the Nobel Prize -- for the development and dissemination of the optimal digital technique (known as the Kalman Filter) that is pervasively used to control a vast array of consumer, health, commercial, and defense products. Fundamentals of Kalman Filtering, Fourth Edition is a practical guide to building Kalman filters that shows how the filtering equations can be applied to real-life problems. Numerous examples are presented in detail, showing the many ways in which Kalman filters can be designed. For this edition, source code listings appearing in the text have been converted from FORTRAN to MATLAB®. In addition, both FORTRAN and MATLAB* source code are available electronically for all of the examples so that the interested reader can verify concepts and explore issues beyond the scope of the text. In certain instances, the authors intentionally introduce mistakes to the initial filter designs to show the reader what happens when the filter is not working properly. The text carefully sets up a problem before the Kalman filter is actually formulated, to give the reader an intuitive feel for the problem being addressed. Because real problems are seldom presented as differential equations, and usually do not have unique solutions, the authors illustrate several different filtering approaches. Readers will gain experience in software and performance tradeoffs for determining the best filtering approach. The fourth edition features four new chapters presenting the following techniques: the State Dependent Ricatti Equation Filter (SDRE), the Unscented Kalman Filter (UKF), the Interactive Multiple Model (IMM) Filter Bank, and the Cramer-Rao lower bound (CRLB), for finding the best that a filter can perform.

Key Features

Fundamentals Of Kalman Filtering Progress In Aeronautics And Astronautics

Product Type: Abis Book

Brand: Aiaa American Institute Of Aeronautics Astronautics

Product Specifications

Brand: AIAA (American Institute of Aeronautics & Astronautics)
Format: hardcover
ASIN: 162410276X
Category: Books > Subjects > Reference > Transport > Aviation
Domain: Amazon UK
Release Date: 25 August 2015
Listed Since: 27 October 2014

Barcode

No barcode data available

AIAA (American Institute of Aeronautics & Astronautics) Fundamentals of Kalman Filtering: A Practical Approach, Fourth Edition (Progress in Aeronautics and Astronautics)

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Fundamentals of Kalman Filtering: a Practical Approach (Progress in Astronautics & Aeronautics)

Kalman Filter: Recent Advances and Applications

Kalman Filtering: Theory and Practice (Prentice-Hall Information and System Sciences)

Intuitive Understanding of Kalman Filtering with MATLAB®

Intuitive Understanding of Kalman Filtering with MATLAB®

Kalman Filtering: Theory and Practice with MATLAB (IEEE Press)

Kalman Filtering (Mathematics Research Developments: Engineering Tools, Techniques and Tables)

Primer to Kalman Filtering: A Physicist Perspective (Engineering Tools, Techniques and Tables)

Die mathematische Funktionsweise des Kalman Filters und seine Erweiterungen

Applications and Optimizations of Kalman Filter and Their Variants

Kalman Filter for Beginners: with MATLAB Examples

Kalman Filtering: with Real-Time Applications

Kalman-Bucy Filters (Radar Library)

The Kalman Filter in Finance: 32 (Advanced Studies in Theoretical and Applied Econometrics, 32)

An Introduction to the Extended Kalman Filter (Mathematics Research Developments)

Introduction to Random Signals and Applied Kalman Filtering: With MATLAB Exercises

Wiley Kalman Filtering and Neural Networks - Technical Book

The Kalman Filter in Finance: 32 (Advanced Studies in Theoretical and Applied Econometrics, 32)

Unscented Kalman Filter Made Easy: A Beginners Guide to Nonlinear Filtering with the Unscented Kalman Filter and MATLAB

Kalman Filter Made Easy - Beginners Guide with Python Code

Estimation, Control, and the Discrete Kalman Filter: 71 (Applied Mathematical Sciences, 71)

Kalman Filtering Techniques for Radar Tracking

Adaptive Filtering: Algorithms and Practical Implementation

Measurement Data Modeling and Parameter Estimation (Systems Evaluation, Prediction, and Decision-Making)