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Extremum seeking loops with assumed functions : estimation and control

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Title Extremum seeking loops with assumed functions : estimation and control
 
Creator BANAVAR, RN
 
Description Extremum seeking (also peak-seeking) controllers are designed to operate at an a priori unknown set-point that extremizes the value of a performance function. Traditional approaches to the problem assume a time-scale separation between the gradient computation and function mimimization and the system dynamics. The work here, in contrast, assumes that the performance function can be approximated by an asumed function with a finite number of parameters. These parameters axe estimated on-line and the extremum seeking controller operates based on these estimated values. To analyze our current scheme, quadratic functions or exponentials of quadratic functions axe assumed as approximations to the performance function. A significant advantage of these functions is that they allow the peak-seeking control loop to be reduced to a linear system. For such a loop, the wealth of linear system analysis and synthesis tools can be employed. First, the control loop is analyzed assuming that the parameters in the function are known (full information case) and then when the parameters are estimated on line (the partial information case).
 
Publisher IEEE
 
Date 2011-10-25T10:36:43Z
2011-12-15T09:11:51Z
2011-10-25T10:36:43Z
2011-12-15T09:11:51Z
2002
 
Type Proceedings Paper
 
Identifier PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6,3159-3164
0-7803-7298-0
0743-1619
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15692
http://hdl.handle.net/100/2328
 
Source 20th Annual American Control Conference (ACC),ANCHORAGE, AK,MAY 08-10, 2002
 
Language English