This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.
Table of Content
Introduction.- Human Body Based Intelligent Cooperative Decoupling Controllers.- Bio-Inspired Collaborative Controllers for Multi-Level Systems.- Immune System-Inspired Collaborative Learning Controllers.- Neuroendocrine Based Data-Driven Cooperative Control Systems.- Bio-Network Inspired Cooperative Intelligent Controllers.- Gene Regulatory Network Inspired Cooperative Controllers.- Bio-Inspired Optimization Algorithms.- Bio-Inspired Bi-Directional Optimization Algorithms.- Immune Co-Evolutionary Algorithms for Optimization.
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