Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions
Author: Robert Grover Brown
Publisher: Wiley-Liss
Total Pages: 504
Release: 1997
Genre: Computers
ISBN:

In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results of specific examples is the best way to obtain the insight that is essential in engineering work.

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises and Solutions
Author: Robert Grover Brown
Publisher: Wiley-Liss
Total Pages: 504
Release: 1997
Genre: Computers
ISBN:

In this updated edition the main thrust is on applied Kalman filtering. Chapters 1-3 provide a minimal background in random process theory and the response of linear systems to random inputs. The following chapter is devoted to Wiener filtering and the remainder of the text deals with various facets of Kalman filtering with emphasis on applications. Starred problems at the end of each chapter are computer exercises. The authors believe that programming the equations and analyzing the results of specific examples is the best way to obtain the insight that is essential in engineering work.

Kalman Filtering

Kalman Filtering
Author: Mohinder S. Grewal
Publisher: John Wiley & Sons
Total Pages: 458
Release: 2011-09-20
Genre: Technology & Engineering
ISBN: 1118210468

This book provides readers with a solid introduction to the theoretical and practical aspects of Kalman filtering. It has been updated with the latest developments in the implementation and application of Kalman filtering, including adaptations for nonlinear filtering, more robust smoothing methods, and developing applications in navigation. All software is provided in MATLAB, giving readers the opportunity to discover how the Kalman filter works in action and to consider the practical arithmetic needed to preserve the accuracy of results. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department -- to obtain the manual, send an email to [email protected].

Introduction to Random Signal Analysis and Kalman Filtering

Introduction to Random Signal Analysis and Kalman Filtering
Author: Robert Grover Brown
Publisher: John Wiley & Sons
Total Pages: 376
Release: 1983
Genre: Mathematics
ISBN:

Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Engineering Applications of MATLAB® 5.3 and SIMULINK® 3

Engineering Applications of MATLAB® 5.3 and SIMULINK® 3
Author: Mohand Mokhtari
Publisher: Springer Science & Business Media
Total Pages: 553
Release: 2012-12-06
Genre: Science
ISBN: 1447107411

Written in two parts, the first revises the ideas and theoretical bases necessary for a good understanding of the techniques used in the second, which deals with applications of MATLAB(R) and SIMULINK(R) in process control and digital signal processing. Each application is treated through various techniques including the classical methods of automation and of deterministic and random digital processing using fuzzy logic and neural networks. The preceding mathematical study of the physical processes goes from finding the equations to editing the analogical model. The following SIMULINK(R) toolbox functions and blocks have been used: Control System, Signal Processing, Neural Network and Fuzzy Logic.

Kalman Filtering

Kalman Filtering
Author: Mohinder S. Grewal
Publisher: John Wiley & Sons
Total Pages: 639
Release: 2015-02-02
Genre: Technology & Engineering
ISBN: 111898496X

The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises

Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises
Author: Robert Grover Brown
Publisher: John Wiley & Sons
Total Pages: 0
Release: 2012-02-07
Genre: Technology & Engineering
ISBN: 9780470609699

Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems. Brown and Hwang's bestselling textbook introduces the theory and applications of Kalman filters for senior undergraduates and graduate students. This revision updates both the research advances in variations on the Kalman filter algorithm and adds a wide range of new application examples. The book emphasizes the application of computational software tools such as MATLAB. The companion website includes M-files to assist students in applying MATLAB to solving end-of-chapter homework problems.

Dynamics of Information Systems

Dynamics of Information Systems
Author: Michael Hirsch
Publisher: Springer Science & Business Media
Total Pages: 378
Release: 2010-04-11
Genre: Mathematics
ISBN: 1441956891

"Dynamics of Information Systems" presents state-of-the-art research explaining the importance of information in the evolution of a distributed or networked system. This book presents techniques for measuring the value or significance of information within the context of a system. Each chapter reveals a unique topic or perspective from experts in this exciting area of research. This volume is intended for graduate students and researchers interested in the most recent developments in information theory and dynamical systems, as well as scientists in other fields interested in the application of these principles to their own area of study.

Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration

Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration
Author: Aboelmagd Noureldin
Publisher: Springer Science & Business Media
Total Pages: 324
Release: 2012-10-28
Genre: Technology & Engineering
ISBN: 3642304656

Fundamentals of Inertial Navigation, Satellite-based Positioning and their Integration is an introduction to the field of Integrated Navigation Systems. It serves as an excellent reference for working engineers as well as textbook for beginners and students new to the area. The book is easy to read and understand with minimum background knowledge. The authors explain the derivations in great detail. The intermediate steps are thoroughly explained so that a beginner can easily follow the material. The book shows a step-by-step implementation of navigation algorithms and provides all the necessary details. It provides detailed illustrations for an easy comprehension. The book also demonstrates real field experiments and in-vehicle road test results with professional discussions and analysis. This work is unique in discussing the different INS/GPS integration schemes in an easy to understand and straightforward way. Those schemes include loosely vs tightly coupled, open loop vs closed loop, and many more.