<p><p>Stochastic distribution control (SDC) systems are widely seen in practical industrial processes, the aim of the controller design being generation of output probability density functions for non-Gaussian systems. Examples of SDC processes are: particle-size-distribution control in chemical eng
Stochastic Reactive Distributed Robotic Systems: Design, Modeling and Optimization
โ Scribed by Gregory Mermoud (auth.)
- Publisher
- Springer International Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 213
- Series
- Springer Tracts in Advanced Robotics 93
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
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
โฆ Subjects
Robotics and Automation; Artificial Intelligence (incl. Robotics)
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