Title :
A genetic algorithms for on-line calculation with application to system theory
Author :
Lee, H.G. ; Hong, J.M. ; Kang, H. ; Sim, K.B.
Author_Institution :
Sch. of Electr. & Electron. Eng., Chung-Ang Univ., Seoul, South Korea
Abstract :
Even though the genetic algorithm is known to be a very effective method to solve the global minimization problem, it needs much time (a large population size and a large number of generations) for a reliable answer and thus it seems to be inadequate for on-line performance. We propose a population feedback GA scheme. we show the effectiveness of our scheme by finding an observer for the discrete-time nonlinear autonomous systems with simulations.
Keywords :
discrete time systems; genetic algorithms; nonlinear control systems; observers; discrete-time nonlinear autonomous system; genetic algorithm; observer; on-line calculation; population feedback GA scheme; system theory application; Algorithm design and analysis; Control systems; Equations; Genetic algorithms; Linear systems; Minimization methods; Nonlinear systems; Optimization methods; Output feedback; State feedback;
Conference_Titel :
Fuzzy Systems, 2009. FUZZ-IEEE 2009. IEEE International Conference on
Conference_Location :
Jeju Island
Print_ISBN :
978-1-4244-3596-8
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2009.5277057
