Adaptive Neural Control for Hysteresis Motor Driving Servo System with Bouc-Wen Model
An adaptive high-order neural network (HONN) control strategy is proposed for a hysteresis motor driving servo system with the Bouc-Wen model. To simplify control design, the model is rewritten as a canonical state space form firstly through coordinate transformation. Then, a high-gain state observe...
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| Format: | Article |
| Language: | English |
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Hindawi-Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/9765861 |