Title :
Evolving neural control systems
Author :
Saravanan, N. ; Fogel, David B.
Author_Institution :
Eng. Technol. Assoc., Madison Heights, MI, USA
fDate :
6/1/1995 12:00:00 AM
Abstract :
Controlling unstable nonlinear systems with neural networks can be problematic. Two examples show that evolutionary programming provides a feasible method for addressing such control problems
Keywords :
genetic algorithms; intelligent control; mathematical programming; neural nets; nonlinear control systems; stability; evolutionary programming; evolving neural control systems; neural network control; unstable nonlinear system control; Computer networks; Control design; Control systems; Genetic algorithms; Genetic mutations; Genetic programming; Neural networks; Neurofeedback; Nonlinear control systems; Stochastic processes;
Journal_Title :
IEEE Expert
