Bio-Inspired Collaborative Intelligent Control and Optimization

• Main Authors: Ding, Yongsheng (Author, http://id.loc.gov/vocabulary/relators/aut), Chen, Lei (http://id.loc.gov/vocabulary/relators/aut), Hao, Kuangrong (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Systems, Decision and Control, 118
• Subjects: Control engineering.; Mathematical optimization.; Computational intelligence.; Control and Systems Theory.; Optimization.; Computational Intelligence.

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 process...

Table of Contents:

• 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.