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.

这本书描述了传统图形命令(例如,阴谋、轮廓、表面)的IDL语言。这些老派命令从一开始就一直是一个IDL的一部分。只是因为他们是旧学校并不意味着他们不是每天使用IDL程序员。他们似乎不会消失,即使面对另一个“新”的图形系统的IDL 8。

Model predictive control of a mobile robot using linearization。MPC的线性优化

Aircraft Flight Dynamics Control and Simulation Using Matlab and Simulink

Book.(2001)Multi-Objective_Optimization Using Evolutionary Algorithms使用进化算法解决多目标问题，英语原版经典，绝版图书

"Data Structures: Abstraction and Design Using Java (3rd Edition)" 2016 | ISBN-10: 1119355214 | 684 pages | PDF Data Structures: Abstraction and Design Using Java, 3rd Edition, combines a strong emphasis on problem solving and software design with the study of data structures. The authors discuss applications of each data structure to motivate its study. After providing the specification (interface) and the implementation (a Java class), case studies that use the data structure to solve a significant problem are introduced.

Mathematical methods using Mathematica.. for students of physics and related fields，recommend

Smart Grid using Big Data Analytics:A Random Matrix Theory Approach 大数据与智能电网理论与实践 big data and smart grid theory and practice

1.Introduction 2.Discrete-Time Signal and Systems 3.The Discrete-Time Fourier Analysis 4.The z-Transform 5.The Discrete Fourier Transform 6.Digital filter Structures 7.FIR Filter Design 8.IIR Filter Design 9.Application in Adaptive Filter 10.Application in Communication

Data Structures and Other Objects Using C++(4th) 英文无水印pdf 第4版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除