PID-neural network and its control system

Author: Shu Huailin
Publisher:
Publish Date: 2006-02-01
Features: This book establishes a new type of artificial neural network—the PID neural network (PIDNN)—and investigates its application in control systems. The book is divided into 10 chapters. It proposes PID neurons, highlighting their biological background; determines the network connection structure and initial connection weights based on the PID control law, forming single-output and multi-output PIDNNs; studies the convergence and stability of PIDNNs, and elaborates on their performance in system identification and control; introduces the implementation methods and programming techniques of PIDNNs, including implementations in VB, LABVIEW, and MCGS Newtai Software; provides numerous simulation and practical application examples; and concludes with the book's overall conclusions and an outlook on future development directions. This book serves as a reference for technical personnel engaged in the research, design, and application of intelligent control and intelligent systems, as well as for senior undergraduate and graduate students in related fields who are conducting research projects.