Description
Book Synopsis: 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(R). 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.
Details
Are you ready to take your engineering skills to the next level? Introducing Fundamentals of Kalman Filtering, a comprehensive guide to building Kalman filters that will revolutionize the way you approach real-life problems. Developed by Rudolf Kalman, the recipient of the prestigious Charles Stark Draper Prize, this optimal digital technique, known as the Kalman Filter, is used in a wide range of industries including consumer electronics, healthcare, commerce, and defense. With numerous detailed examples and practical applications, this fourth edition will equip you with the knowledge and tools to design efficient Kalman filters.
At the click of a button, you'll have access to source code listings that have been converted from FORTRAN to MATLAB, ensuring compatibility with the latest software. By providing both FORTRAN and MATLAB* source code, we empower you to verify concepts and explore advanced topics beyond the scope of the text. Our unique approach includes intentionally introducing mistakes in initial filter designs, allowing you to witness firsthand the consequences of improper filtering. This hands-on learning experience will deepen your understanding and sharpen your problem-solving skills.
We understand that real-world problems rarely come in the form of differential equations, and solutions are seldom unique. That's why Fundamentals of Kalman Filtering unveils a variety of filtering approaches, presenting you with multiple options to tackle any given challenge. Our experts guide you through the intricacies of software and performance tradeoffs, enabling you to determine the best filtering approach for your specific needs.
In this fourth edition, we've added four new chapters that explore cutting-edge techniques, such as 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). These advancements push the boundaries of what a filter can achieve, ensuring you stay ahead of the curve in the rapidly evolving world of engineering.
Don't miss out on this opportunity to enhance your engineering expertise and master the art of Kalman filtering. Take the first step towards success by clicking the link below to order your copy of Fundamentals of Kalman Filtering today!
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