From Complex to Order - New Advances in Neural Network Intelligent Control Theory

Author: Li Xiang
Publisher:
Publish Date: 2006-04-01
Features: This book takes neural networks as its main thread, interwoven throughout the various components of intelligent control systems, focusing on introducing some new advancements in neural network-based intelligent control in theoretical research and engineering applications. The entire book is centered on the intersection of multiple disciplines such as neural network theory, predictive control theory, nonlinear dynamic system theory, and the emerging complex network theory. Under the framework of neural network-based intelligent control systems, it organically integrates a series of new research achievements over the years by the author and his co-researchers in the fields of neural network modeling, prediction, control, chaos, and complex networks, combining international and domestic research progress.
Chapter 1 comprehensively reviews the theoretical research and application advancements of neural network-based intelligent control. Chapter 2 introduces the foundational knowledge required for this book. Chapters 3 to 6 present a series of neural network adaptive predictive controllers that combine feedforward neural networks, Elman neural networks, and simple recurrent neural networks with self-tuning generalized predictive control, and are effectively applied to the control of complex nonlinear systems and chaotic systems. Chapter 7 focuses on the interdisciplinary research between neural networks and nonlinear chaotic dynamics, introducing the chaoticization methods of linear and nonlinear Elman networks and their corresponding chaotic system properties. Chapter 8 discusses the modeling, prediction, and control problems of fuzzy neural networks. Chapter 9 presents application examples of neural networks in industrial process control, China's unemployment problem, and international exchange rate behavior. Chapter 10 introduces the emerging complex network theory since 1998 to a broad audience, emphasizing the chaotic migration phenomenon discovered and studied early by the author and his collaborators in complex networks.
This book takes neural networks as its main thread, interwoven throughout the various components of intelligent control systems, focusing on introducing some new advancements in neural network-based intelligent control in theoretical research and engineering applications.