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Stochastic Reactive Distributed Robotic Systems [electronic resource] : Design, Modeling and Optimization / by Gregory Mermoud.

By: Mermoud, Gregory [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Tracts in Advanced Robotics: 93Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XII, 215 p. 77 illus., 45 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319026091.Subject(s): Engineering | Artificial intelligence | Robotics | Automation | Engineering | Robotics and Automation | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 629.892 Online resources: Click here to access online
Contents:
Part I Preliminaries -- Part II Modeling -- Part III Design and Optimization.
In: Springer eBooksSummary: 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.
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Part I Preliminaries -- Part II Modeling -- Part III Design 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.

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