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控制理论与应用 2001
Improved B-Spline Fuzzy Neural Networks
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Abstract:
The paper proposes an improved B spline fuzzy neural network, which may be used to increase the ability of resisting disturbances when it is as a fuzzy neural network control in the actual applications. The paper proposes the effective ways in order to overcome the shortages in the construction of B spline fuzzy membership functions, which both satisfactory the properties of B spline itself, and also avoid factors of system instability from the theory design point. The actual motor velocity control system experiment has verified the effectiveness and the practicality. The paper gives the design procedure and the experiment results of the improved B spline networks.