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基于神经网络MIMO非仿射系统自适应控制 被引量：2

Neural Network Based Adaptive Control for MIMO Non-affine Systems
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摘要 针对一类多输入多输出非仿射非线性系统,基于神经网络设计了一种自适应控制方案。该系统隐含控制输入,利用隐函数定理和伪控制概念提出了控制运算法则,采用Lyapunov方法证明了系统的稳定性。该方案采用神经网络补偿系统中的非线性部分,设计了鲁棒项来增加系统的抗干扰能力。仿真结果充分证明了该方案的有效性和可行性。 A novel adaptive control method based neural network for a general class of MIMO non-affine nonlinear system was proposed,which are implicit function with respect to control input.The control algorithm is concluded by implicit function theorem and the design idea of pseudo-control.The stability of system is proved through Lyapunov method.A Three-Layer Neural Network is used to compensate the modeling errors and a robust control is also designed to add the anti-interference ability of system.Simulation results demonstrate the effectiveness and feasibility of proposed scheme.
作者 赵彤 曹世伟 赵品
机构地区 青岛科技大学自动化与电子工程学院
出处 《青岛科技大学学报（自然科学版）》 CAS 2010年第3期317-320,共4页 Journal of Qingdao University of Science and Technology:Natural Science Edition
基金 山东省自然科学基金项目(Y2007G06)
关键词 MIMO非仿射非线性系统 自适应控制 神经网络 LYAPUNOV方法 MIMO non-affine nonlinear systems adaptive control neural network Lyapunov method
分类号 TP301 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献7

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二级参考文献19

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共引文献5

同被引文献25

  • 1刘军,张利建,薛明.基于遗传算法的仿人智能控制[J].青岛科技大学学报（自然科学版）,2007,28(2):162-165. 被引量：1
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引证文献2

二级引证文献4

青岛科技大学学报（自然科学版）
2010年 第3期

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