System Modeling and Identification

Author: Wang Xiufeng
Publisher:
Publish Date: 2004-08-01
Features: This book provides a comprehensive and systematic introduction to effective modeling and identification methods commonly used in various fields. The main content includes: identification of linear systems, identification of multivariable linear systems, nonparametric representation and identification of linear systems, identification of nonlinear systems, time series modeling, identification of compartment models (often used in medicine and biomedical engineering), identification of neural network models, modeling and identification of fuzzy systems, genetic algorithms and their applications in identification, and the implementation of identification. Specific calculation steps or flowcharts are provided for each method, along with examples or simulation examples for illustration, aiming to make it easier for readers to learn and apply these methods.
This book is part of the "Tianjin University College 'Fifteen-Year' Plan" teaching materials and can be used as a textbook or reference for senior undergraduate and graduate students in fields such as automation, systems engineering, economic management, and applied mathematics. It is also suitable as a reference for relevant scientific and technological workers, engineering technicians, and management personnel.