ABSTRACT

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling, estimation, recursive filtering, linear filtering, and nonlinear filtering are presented with appropriate and sufficient mathematics. A modeling-control-system approach is used when applicable, and detailed practical applications are presented to elucidate the analysis and filtering concepts. MATLAB routines are included, and examples from a wide range of engineering applications - including aerospace, automated manufacturing, robotics, and advanced control systems - are referenced throughout the text.

section I|2 pages

Mathematical Models, Kalman Filtering and H-Infinity Filters

chapter 1|32 pages

Dynamic System Models and Basic Concepts

chapter 2|68 pages

Filtering and Smoothing

chapter 3|28 pages

H∞ Filtering

chapter 4|24 pages

Adaptive Filtering

section II|2 pages

Factorization and Approximation Filters

chapter 5|18 pages

Factorization Filtering

section III|2 pages

Nonlinear Filtering, Estimation and Implementation Approaches

chapter 8|66 pages

Nonlinear Estimation and Filtering

chapter 10|26 pages

Implementation Aspects of Nonlinear Filters

chapter 11|28 pages

Nonlinear Parameter Estimation

chapter 12|20 pages

Nonlinear Observers