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The design of a fuzzy controller suffers from choice problems of fuzzy input and output membership functions and rules inference system definition. Generally, such procedures are implemented by trial and error iterations which do not assure an optimal fuzzy controller design. Moreover the fuzzy features of control system depend by the specific application of fuzzy controller. There are several techniques...
A new fuzzy method for the motion control of underactuated robots is proposed in this paper. The control objective is to move the end-effector from a given position to a target point. A new fuzzy controller for the motion control of underactuated robots is present. The best fuzzy control rules and optimal membership functions are automatically generated off-line by the global optimization of genetic...
In order to manage the rapidly growing complexity associated with many modern control applications, multimodal control has emerged as a viable option. In this paper, we assume that an ensemble of individual controllers or modes have been designed, and concentrate on the problem of combining these controllers in an optimal manner. In particular, we use variational arguments for shaping parameterized...
It is difficult to determine membership functions and control rules efficiently when applying fuzzy control to an unknown system. In this study, a new fuzzy control technique, which efficiently selects optimal membership functions and control rules by using neural networks and genetic algorithms, was proposed and then applied to the control of relative humidity in a fruit-storage house. The control...
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