Description
Book Synopsis: This book provides a complete explanation of estimation theory and application, modeling approaches, and model evaluation. Each topic starts with a clear explanation of the theory (often including historical context), followed by application issues that should be considered in the design. Different implementations designed to address specific problems are presented, and numerous examples of varying complexity are used to demonstrate the concepts.
This book is intended primarily as a handbook for engineers who must design practical systems. Its primary goal is to explain all important aspects of Kalman filtering and least-squares theory and application. Discussion of estimator design and model development is emphasized so that the reader may develop an estimator that meets all application requirements and is robust to modeling assumptions. Since it is sometimes difficult to a priori determine the best model structure, use of exploratory data analysis to define model structure is discussed. Methods for deciding on the "best" model are also presented. A second goal is to present little known extensions of least squares estimation or Kalman filtering that provide guidance on model structure and parameters, or make the estimator more robust to changes in real-world behavior.
A third goal is discussion of implementation issues that make the estimator more accurate or efficient, or that make it flexible so that model alternatives can be easily compared.
The fourth goal is to provide the designer/analyst with guidance in evaluating estimator performance and in determining/correcting problems.
The final goal is to provide a subroutine library that simplifies implementation, and flexible general purpose high-level drivers that allow both easy analysis of alternative models and access to extensions of the basic filtering.
Details
Are you an engineer looking for a comprehensive guide to estimation theory and application? Look no further than the Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook. This book is packed with in-depth explanations, real-world examples, and practical implementation strategies to help you design robust systems. Whether you're a beginner or an experienced professional, this handbook will equip you with the knowledge and tools you need to tackle any estimation challenge. Get your copy today and take your engineering skills to the next level.
In today's fast-paced world, it's crucial to stay ahead of the curve. The Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook is your ultimate resource to master the art of estimator design and model development. By taking a deep dive into Kalman filtering and least-squares theory, you'll gain valuable insights that will enhance your system's performance and make it more robust to real-world variations. Don't settle for subpar models - let this handbook guide you towards building accurate and efficient estimators that stand the test of time.
When it comes to model selection, finding the perfect fit can be challenging. That's why the Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook introduces you to exploratory data analysis techniques that help define the optimal model structure. With a step-by-step approach and practical examples, this book equips you with the knowledge to make informed decisions and choose the "best" model for your specific application. Empower yourself with the tools to tackle complex modeling tasks and achieve superior results.
Implementation matters. That's why the Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook not only teaches you the theory but also focuses on implementation issues that can enhance accuracy and efficiency. With flexible, high-level drivers and a subroutine library at your disposal, implementing alternative models and extensions of the basic filtering becomes a breeze. Stop wasting time on cumbersome implementations and streamline your workflow with this comprehensive handbook.
Ready to take your estimator evaluation and correction skills to the next level? The Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook has got you covered. As a designer or analyst, you'll gain valuable guidance in evaluating estimator performance, identifying and correcting potential issues, and ensuring your system is operating at its best. With this handbook as your companion, you'll have the confidence to troubleshoot and optimize your estimators with ease.
Don't miss out on this incredible opportunity to revolutionize your engineering skills. Get your copy of the Advanced Kalman Filtering, Least-Squares and Modeling: A Practical Handbook today and unlock a world of possibilities. Trust us, you won't be disappointed. Click here to order now!
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