Stochastic Reactive Distributed Robotic Systems - Design, Modeling and Optimization

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.

Sommario

Part I Preliminaries.- Part II Modeling.- Part III Design and Optimization.

Riassunto

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.

Dettagli sul prodotto

• Autori: Gregory Mermoud
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 01.01.2016
• EAN: 9783319347868
• ISBN: 978-3-31-934786-8
• Pagine: 215
• Dimensioni: 155 mm x 12 mm x 235 mm
• Peso: 352 g
• Illustrazioni: XII, 215 p. 77 illus., 45 illus. in color.
• Serie: Springer Tracts in Advanced Robotics; Springer Tracts in Advanced Robotics
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni; B, Künstliche Intelligenz, Robotics, Artificial Intelligence, Automation, engineering, Control, Robotics, Automation, Robotics and Automation, Probabilistic modeling, self-assembly, Smart Minimal Particles