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In this paper, we propose an algorithm based on fuzzy control to ensure the stability of the quadrotor. After giving the nonlinear model of the robot, its representation by a Takagi-Sugeno (T-S) fuzzy model is first discussed. Next, a fuzzy controller are synthesized which guarantee desired control performances. The given controller is designed using numerical tools (Linear Matrix Inequalities-LMI)...
Inverted pendulum system is a typical rapid, multivariable, nonlinear, absolute instability and non-minimum phase system, and it is a favorite problem in the field of control theory and application. In its control, the current main control method includes in fuzzy control, variable structure control and robust control etc. For fuzzy control of a double inverted pendulum, the research is focused on...
In this paper, a nonlinear control system using a fuzzy self tuning Grey predictor based on a PID controller is proposed. Firstly, the PID controller is designed according to the Zieger-Nichos 2 method with fast response and high robustness. Secondly, the grey predictor is suggested to use to estimate the system response in a near future in order to improve the control performance. In addition, the...
In order to solve the slightly complicated structure and the big calculation of integral variable universe adaptive fuzzy controller, as well as the difficulty to choose the contraction-expansion factor, a weighted sum-type variable universe adaptive fuzzy controller is designed. At the same time the general method on how to choose contraction-expansion factor is given. First, based on weighted sum...
Addressing to the difficulties in PID parameter tuning, low accuracy in temperature controlling and the dissatisfaction in high exactitude extrusion processing of the present PID controllers, a new kind of PID controller based on RBF neural network is proposed. It can not only obtain a higher accuracy in temperature controlling, but also infinitely approach the nonlinear system with quicker and more...
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