Title :
A new search procedure for distributed parameter identification
Author_Institution :
Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA
Abstract :
Distributed parameter identification arises in many fields of applications. Identifying spatially varying parameters has been a challenging topic both theoretically and numerically. We introduce some preliminary results regarding a new identification procedure designed for identifying unknown parameter zones under very weak assumptions. The procedure incorporates a few innovative ideas into standard genetic algorithm framework. Two examples are tested and results are presented to illustrate this new approach
Keywords :
distributed parameter systems; genetic algorithms; parameter estimation; search problems; distributed parameter identification; identification procedure; search procedure; spatially varying parameters; standard genetic algorithm framework; unknown parameter zones; very weak assumptions; Boundary conditions; Electronic mail; Equations; Genetic algorithms; Mathematics; Parameter estimation; Shape; Steady-state; Sun; Testing;
Conference_Titel :
System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-7873-9
DOI :
10.1109/SSST.1997.581704
