## 摘要

Multilayer neural networks are used in a non-linear adaptive control problem. The plant is an unknown feedback linearizable continuous-time system with relative degree ⩾1. The single-input:/single-output system is studied first and then the methodology is extended to control square multi-input/multi-output systems. The control objective is for the plant to track a reference trajectory, and the control law is defined in terms of the outputs of the neural networks. The parameters of the networks are updated on-line according to an augmented tracking error and the network derivatives. A local convergence theorem is given on the convergence of the tracking error. This control algorithm is applied to control a two-input/two-output relative-degree-two system.

原文 | English |
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頁（從 - 到） | 317-335 |

頁數 | 19 |

期刊 | International Journal of Control |

卷 | 58 |

發行號 | 2 |

DOIs | |

出版狀態 | Published - 1 1月 1993 |