System Identification Theory and Applications

Author: Li Yan
Publisher:
Publish Date: 2003-05-01
Features: This book can be used as a graduate textbook for students in automatic control and aerospace engineering at universities, as well as a reference for senior undergraduate students and engineering professionals. The book primarily introduces the fundamental principles and common basic methods of system identification. The entire book consists of 14 chapters, mainly including: Introduction, Common Input Signals for System Identification, Classical Identification Methods for Linear Systems, Canonical Forms for Dynamic Systems, Least Squares Identification, Maximum Likelihood Identification, Time-Varying Parameter Identification Methods, Identification of Multi-Input-Multi-Output Systems, Establishment of Stochastic Time Series Models, System Structure Identification, Closed-Loop System Identification, Application of System Identification in Aircraft Parameter Identification, and Application of Neural Networks in System Identification.