Difference between revisions of "Henrik Sandberg, July 2012"
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==== Monday ====  ==== Monday ====  
* 10 am: Open  * 10 am: Open  
−  * 11 am: Seminar,  +  * 11 am: Seminar, 213 Annenberg 
−  * 12 noon: Lunch  +  * 12 noon: Lunch, hosted by Nikolai (meet at seminar) 
<hr>  <hr>  
−  * 1:30 pm: Matanya Horowitz  +  * 1:30 pm: Matanya Horowitz & Nikolai (Annenberg) 
−  * 2:15 pm:  +  * 2:15 pm: Shuo Han (Annenberg) 
* 3:00 pm: Open  * 3:00 pm: Open  
−  * 3:45 pm:  +  * 3:45 pm: KISS workshop on ultrareliability (Hameetman auditorium, Cahill ) 
−  
    
==== Tuesday ====  ==== Tuesday ====  
−  * 10 am: Enoch  +  * 10 am: Enoch @ ANN 2nd Floor Lounge 
−  * 10:45 am:  +  * 10:45 am: Eric Wolff @ ANN 3rd Floor Lounge 
* 11:30 am: Open  * 11:30 am: Open  
<hr>  <hr>  
−  * 1:30 pm:  +  * 1:30 pm: Aristo 
* 2:15 pm: Open  * 2:15 pm: Open  
−  * 3:00 pm:  +  * 3:00 pm: Robert Rogersten & Giulia Ripellino, Annenberg Lounge 
* 3:45 pm: Open  * 3:45 pm: Open  
* 4:30 pm: Open  * 4:30 pm: Open  
<hr>  <hr>  
−  * 6:30 pm: Richard  +  * 6:30 pm: Richard, 109 Steele Lab 
}  }  
=== Abstract ===  === Abstract ===  
−  +  '''Synthesis of Models using Lossless Components and Some Related Design TradeOffs'''  
+  
+  Speaker: Henrik Sandberg<br>  
+  Affiliation: Electrical Engineering, KTH<br>  
+  Date and time: Monday, 30 July 2012  11:00am<br>  
+  Location: 213 Annenberg<br>  
+  
+  The area of network synthesis deals with how to implement mathematical models using a welldefined set of physical components. This area was thoroughly studied in the circuits community in the 19601970's, using components such as resistors, transformers, capacitors, inductors, and operational amplifiers. Today similar questions are being asked in synthetic biology and in mechanics, only now the given sets of physical components are very different. Typical questions of interest are to characterize what type of mathematical models can be implemented for given sets of components, and the minimal number of components required for a specific model.  
+  
+  In this talk, we address the problem of synthesizing some classes of active and passive mathematical models using only a small number of lossless physical components. The set of lossless components are relevant since they conserve energy and if we intend to implement anything on a microscopic level, for example a micro machine, we will need to respect this limitation. In our earlier work we have shown that linear models are passive if, and only if, they can be approximated to any desired degree of accuracy by a linear lossless system, over any fixed time horizon. Typically this requires a huge number of lossless components, however, which results in thermal noise as quantified by the fluctuationdissipation theorem. Here we will see that by allowing the linear lossless components to be timevarying, not only can we avoid some thermal noise, but we can also synthesize some active components. Given the importance of active components such as operational amplifiers this is encouraging. The price for the decrease in implementation complexity is a need for an external power supply. We illustrate the controltheoretic relevance of these results by means of a few examples and design tradeoffs. 
Latest revision as of 17:07, 31 July 2012
Henrik Sandberg will be visiting CDS on 3031 July (TueWed).
Schedule
Monday

Tuesday

Abstract
Synthesis of Models using Lossless Components and Some Related Design TradeOffs
Speaker: Henrik Sandberg
Affiliation: Electrical Engineering, KTH
Date and time: Monday, 30 July 2012  11:00am
Location: 213 Annenberg
The area of network synthesis deals with how to implement mathematical models using a welldefined set of physical components. This area was thoroughly studied in the circuits community in the 19601970's, using components such as resistors, transformers, capacitors, inductors, and operational amplifiers. Today similar questions are being asked in synthetic biology and in mechanics, only now the given sets of physical components are very different. Typical questions of interest are to characterize what type of mathematical models can be implemented for given sets of components, and the minimal number of components required for a specific model.
In this talk, we address the problem of synthesizing some classes of active and passive mathematical models using only a small number of lossless physical components. The set of lossless components are relevant since they conserve energy and if we intend to implement anything on a microscopic level, for example a micro machine, we will need to respect this limitation. In our earlier work we have shown that linear models are passive if, and only if, they can be approximated to any desired degree of accuracy by a linear lossless system, over any fixed time horizon. Typically this requires a huge number of lossless components, however, which results in thermal noise as quantified by the fluctuationdissipation theorem. Here we will see that by allowing the linear lossless components to be timevarying, not only can we avoid some thermal noise, but we can also synthesize some active components. Given the importance of active components such as operational amplifiers this is encouraging. The price for the decrease in implementation complexity is a need for an external power supply. We illustrate the controltheoretic relevance of these results by means of a few examples and design tradeoffs.