This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities.
Author(s): Gregory Mermoud (auth.)
Series: Springer Tracts in Advanced Robotics 93
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 215
Tags: Robotics and Automation; Artificial Intelligence (incl. Robotics)
Front Matter....Pages 1-11
Introduction....Pages 1-6
Front Matter....Pages 7-7
Background....Pages 9-27
Materials and Methods....Pages 29-37
Case Studies....Pages 39-56
Front Matter....Pages 57-57
Fundamentals of Modeling....Pages 59-79
Model Construction....Pages 81-98
Model Calibration....Pages 99-108
Model Validation and Analysis....Pages 109-125
Automated Multi-level Modeling....Pages 127-155
Front Matter....Pages 157-157
Model-Based Design....Pages 159-173
Model-Based Optimization....Pages 175-179
Model-Based Real-Time Control....Pages 181-186
Conclusion....Pages 187-189
Back Matter....Pages 191-212
