卡尔曼滤波器
估计
非线性系统
钥匙(锁)
国家(计算机科学)
多样性(控制论)
MATLAB语言
计算机科学
人工智能
算法
工程类
程序设计语言
系统工程
计算机安全
物理
量子力学
出处
期刊:Choice Reviews Online
[American Library Association]
日期:2007-02-01
卷期号:44 (06): 44-3334
被引量:2172
标识
DOI:10.5860/choice.44-3334
摘要
A bottom-up approach that enables readers to master and apply the latest techniques in state estimationThis book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering.While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning:
Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation
Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice
MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters
Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering.Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. A solutions manual is available for instructors.With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.A solutions manual is available upon request from the Wiley editorial board.
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