Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
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Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
Neural network adaptive control is proposed combining adaptive control’s advantages with neural network’s characters and provides a new method for nonlinear control.Based on Lyapunov stability theorem and neural network direct adaptive control idea, the control problem of a class of uncertain nonlinear system with disturbance is researched. The controller is designed arming at two kinds
(Read More…)
With development of science, technology and productivity, the controlled plants are becoming more and more complex. For lack of accurate mathematical model, and there exit various nonlinear sections, uncertainties. As we know T-S fuzzy model can approximate nonlinear systems significantly, and it is easy for us to analyze. The stability analysis and systematic design of
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