scholarly journals Optimization-based tuning of low-bandwidth control in spatially distributed systems

2004 ◽  
Author(s):  
D. Gorinevsky ◽  
S. Boyd ◽  
G. Stein
Keyword(s):  
Distributed Systems ◽  
Spatially Distributed ◽  
Bandwidth Control

scholarly journals Crossing the chasm: a ‘tube-map’ for agent-based social simulation of policy scenarios in spatially-distributed systems

2019 ◽  
Vol 23 (2) ◽  
pp. 169-199 ◽  
Author(s):  
J. Gareth Polhill ◽  
Jiaqi Ge ◽  
Matthew P. Hare ◽  
Keith B. Matthews ◽  
Alessandro Gimona ◽  
...  
Keyword(s):  
Distributed Systems ◽  
Social Simulation ◽  
Agent Based ◽  
Spatially Distributed ◽  
Policy Scenarios

scholarly journals A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Xian-xia Zhang ◽  
Zhi-qiang Fu ◽  
Wei-lu Shan ◽  
Bing Wang ◽  
Tao Zou
Keyword(s):  
Spatial Distribution ◽  
Distributed Systems ◽  
Spatial Data ◽  
Sensor Placement ◽  
Spatiotemporal Data ◽  
Industrial Processes ◽  
Crucial Issue ◽  
Data Set ◽  
Spatially Distributed ◽  
Optimal Sensor Location

Many industrial processes are inherently distributed in space and time and are called spatially distributed dynamical systems (SDDSs). Sensor placement affects capturing the spatial distribution and then becomes crucial issue to model or control an SDDS. In this study, a new data-driven based sensor placement method is developed. SVR algorithm is innovatively used to extract the characteristics of spatial distribution from a spatiotemporal data set. The support vectors learned by SVR represent the crucial spatial data structure in the spatiotemporal data set, which can be employed to determine optimal sensor location and sensor number. A systematic sensor placement design scheme in three steps (data collection, SVR learning, and sensor locating) is developed for an easy implementation. Finally, effectiveness of the proposed sensor placement scheme is validated on two spatiotemporal 3D fuzzy controlled spatially distributed systems.

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