Record Details

Extremum seeking loops with quadratic functions: estimation and control

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Extremum seeking loops with quadratic 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 minimization and the system dynamics. The work here, in contrast, assumes that the performance function can be approximated by a quadratic function with affinite number of parameters. These parameters are estimated on-line and the extremum seeking controller operates based on these estimated values. A significant advantage of a quadratic function is that it allows 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 analysed 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 TAYLOR & FRANCIS LTD
 
Date 2011-08-30T23:45:22Z
2011-12-26T12:59:14Z
2011-12-27T05:50:17Z
2011-08-30T23:45:22Z
2011-12-26T12:59:14Z
2011-12-27T05:50:17Z
2003
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF CONTROL, 76(14), 1475-1482
0020-7179
http://dx.doi.org/10.1080/00207170310001599131
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12506
http://hdl.handle.net/10054/12506
 
Language en