Advances in State and Parameter Estimation Theory and Practice

Product Description

This book deals with the basics of parameter estimation and state estimation as the fundamental building blocks of mathematical modelling activity in the broader field of control theory. All the methods are validated using MATLAB-based implementations with realistically simulated data for general dynamic systems as well as for aircraft parameter estimation. This book includes several illustrative examples and chapter-end exercises. Features: Provides comprehensive coverage of all issues related to parameter and state estimation. Discusses advanced topics related to Kalman filter stability analysis image centroid tracking and neural networks for parameter estimation. Explores convergence and…