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Paper Abstract and Keywords
Presentation 2013-11-21 14:25
Sparse Control for Energy Conservation
Masaaki Nagahara (Kyoto Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this article, we consider sparsity-optimal control that minimizes the L0 norm of a continuous-time control signal. The L0 norm of a control signal is defined by the length of its support (the time intervals where the control is exactly zero), and sparse control is a control whose L0 norm is much less than the signal length. In sparse control, actuators are stopped on a relatively long time interval, on which the consumption of fuel or electric power is cut and the emission of CO2, the noise sound, and the vibration are reduced. Therefore, sparse control is a control suited to energy consumption. In this article, we give a sufficient condition such that the L0-optimal controls are equivalent to the L1-optimal controls. We also consider an extension to feedback control based on the self-triggered control method.
Keyword (in Japanese) (See Japanese page) 
(in English) sparse control / energy consumption / L1-optimal control / self-triggered control / sparsity / compressed sensing / /  
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Conference Information
Committee RCC  
Conference Date 2013-11-21 - 2013-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Umeda Satellite(Graduate School for Creative Cities and Academic Ex 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication Systems, Access Method, Control Theory, Network Control, Security, Remote Control, Application of Control, etc. (This conference will be held together with SICE) 
Paper Information
Registration To RCC 
Conference Code 2013-11-RRRC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Sparse Control for Energy Conservation 
Sub Title (in English)  
Keyword(1) sparse control  
Keyword(2) energy consumption  
Keyword(3) L1-optimal control  
Keyword(4) self-triggered control  
Keyword(5) sparsity  
Keyword(6) compressed sensing  
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1st Author's Name Masaaki Nagahara  
1st Author's Affiliation Kyoto University (Kyoto Univ.)
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Speaker Author-1 
Date Time 2013-11-21 14:25:00 
Presentation Time 25 minutes 
Registration for RCC 
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