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Mao et al., 2014 - Google Patents

Adaptive neural network-based synchronization control for dual-drive servo system

Mao et al., 2014

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Document ID
17041165036402996333
Author
Mao W
et al.
Publication year
Publication venue
2014 International Conference on Fuzzy Theory and Its Applications (iFUZZY2014)

External Links

Snippet

In this paper, the neural network control is proposed for master-slave method of dual-drive servo system application. The architecture of control system includes traditional PID, back propagation neural network (BPNN) and radial basis function neural network (RBFNN). The …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators

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