Learn More
A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFNN) is constructed in terms of Takagi-Sugeno fuzzy model. The consequent part is comprised of the dynamic neurons with output feedback. The number and the parameters of membership(More)
Application-oriented undergraduate students are usually weak in theoretical analysis, but they have strong enthusiasm in practice. The interest-oriented practice reform of circuit curriculum group for communication engineering and electronic and information engineering is proposed, where curriculum system, teaching content, teaching methods and experimental(More)
For the speed control of film winding system, the pseudo-derivative feedback (PDF) controller is first selected. Controller parameters tuning then becomes a nonlinear constrained optimization problem with nonlinearity and load variations of film winding system. To avoid the selection of penalty parameters in constraint handling, NSGA-II is utilized by(More)
A neuron model-free control method with fuzzy gain scheduling is presented in this paper. A single neuron is designed to produce control signal in model-free way, and the gain of the neuron controller is tuned by Takagi-Sugeno fuzzy scheme. Simulation tests of a hydraulic turbine generator working under different operating conditions are made. The results(More)
  • 1