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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)
Inspired by the state space model based predictive control, this paper presents the combination design of extended non-minimal state space predictive control (ENMSSPC) and modified linear quadratic regulator (LQR) for a kind of nonlinear process with output feedback coupling, which shows improved control performance for both model/plant match and(More)
A multi-objective evolution algorithm (MOEA) is presented to automatically determine the parameters in Op-Amp synthesis where the cost functions (e.g., minimizing the power dissipation and the chip area) and the constraint functions (e.g., the user-defined specifications) can be modeled as polynomials of the design variables. The proposed algorithm is based(More)
The paper is concerned with an overall convergent nonlinear model predictive control design for a kind of nonlinear mechatronic drive systems. The proposed nonlinear model predictive control results in the improvement of regulatory capacity for reference tracking and load disturbance rejection. The design of the nonlinear model predictive controller(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)
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)