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The vertical electric furnace is a multi-variable complex system, conventional control methods are used to control it, to need modelling and decoupling. In this paper, a model reference adaptive control using the compensatory fuzzy neural network for the vertical electric furnace is presented. The dynamics model of the neural network of the system is identified by the adaptive compensatory fuzzy learning...
Visual servoing, using the visual measurements direct in the control loop, is a problem that in recent years has grown in interest. One of the main problems involved in these systems is that, while the robot manipulator has a well known model and identification methods have been available, the vision system introduces a nonlinear transformation and modifies the dynamics as seen in the image plane...
Many wheelchair users suffer from Multiple Sclerosis causing tremors in their limbs, which leads to incorrect control signals to the wheelchair joystick. In this paper, we design and simulate a Neuro-Fuzzy based joystick controller for an electric wheelchair to minimize tremors as well as adapt to a patient's peculiar controlling commands. The controls of an electronic wheelchair are designed to execute...
Aimed to improve the working efficiency of cone picking robot and release workers from heavy manual labor, a novel RBF neural network based fuzzy self-adaptive Kalman filter is presented in the paper. The position and object input voltage are taken as the inputs of the RBF neural network model. Consider that the traditional BP algorithm has shortcomings of converging slowly and easily trapping a local...
This paper aims to efficiently deal with the problems of multiple ramps metering. A new method which is called neuro-fuzzy adaptive dynamic programming with eligibility traces (NFADP(lambda)) is proposed. With the introduction of neuro-fuzzy and eligibility traces, the performance of ADP is greatly enhanced. First of all, the expert experience is introduced to ADP, therefore the convergence of ADP...
Through the study of the boiler-turbine coordination and control network, this paper analysis the difficulties of the inverse system analytical method in practical use. A structure and learning method with close to the dynamic inverse system capacity of continuous-time dynamic neural network has been raised. A coordination and control neural network inverse system control method for the thermal power...
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