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In this paper, an adaptive tracking control algorithm and its step by step implementation procedure are developed for a class of nonlinear plants within a U-model framework with unknown parameters. A new technique is proposed to design an online control algorithm using the Radial Basis Functions Neural Network (RBFNN).
This paper proposes a on-line modeling and control approach through Takagi-Sugeno (T-S) fuzzy-neural model for a class of generalized multiple input multiple output (MIMO) nonlinear dynamic systems with external disturbances. Nonlinear systems are exactly formed a linearized system via the mean value theroem, and then the T-S fuzzy-neural model can approximate the linearized system. Then on-line identificatoin...
In order to reject disturbance from the variation of load, an estimation method for load parameters for PMSM is presented to online identify moment of inertia and load torque. This method is based on model reference adaptive system through Popov's Hyper stability criteria. The two quantities are essential for the PI controller to be adaptive for maintaining the system's robustness. The simulation...
Currently, DC motor of automatic doors speed regulating system utilizes PID control which has parameters tuning difficulties, poor stability, and imprecise control. To solve the above existent problem, this paper adopts the control strategy of fuzzy algorithm combining with PID control, introducing method of fuzzy PID control used in DC motor speed regulating system of automatic doors. Through establishing...
Existing drought evaluation method which people easy to appear the interference of artificial weights, this paper puts forward projection pursuit model for evaluating drought based on logistic curve and selects the drought evaluation index as projection parameters to seek its best projection direction. Taking Qiqihar area as research objects, the departure ratio of rain-fall, dry index and Z index...
This paper focuses on a simulation research by way of combining nonlinear adaptive Kalman filter with PID control, aiming at resolving the space attitude and the PID control system for an underwater robot. The results reveal that the nonlinear adaptive Kalman filter, compared with general Kalman filter PID control system, can inhibit white noise pollution more effectively. Thus, the control effect...
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