期刊文献+

未知控制方向的严反馈非线性系统神经网络自适应控制 被引量:2

Adaptive neural network control for strict-feedback nonlinear systems with unknown control direction
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摘要 针对一类未知控制方向的单输入单输出严反馈非线性系统,提出一种神经网络自适应控制方法.首先应用Nussbaum型函数解决控制系数符号未知问题,然后应用RBF神经网络和反演设计方法对系统进行系统化设计.该控制方法放宽了现有文献中许多苛刻的条件,如匹配条件、增长条件等,避免了控制器奇异问题,同时解决了反演设计中的"计算膨胀"问题,并应用Lyapunov稳定性理论证明了闭环系统的全局稳定性.最后给出了数字仿真实例,证明了该设计方法的有效性. Adaptive neural network control is presented for a class of SISO strict-feedback nonlinear systems with unknown control direction. Nussbaum-type function is used to solve the difficulty of unknown sign of control coefficients. A systematic procedure is developed based on RBF neural networks and backstepping design techniques, which relaxes some rigorous restrictions on the plants in the literature at present stage, such as matching condition, growth condition. The possible singularities of the controller is avoided and the “computer explosion” problem is resolved in the developed control scheme. Global stability of the closed-loop systems is guaranteed. Finally, numerical simulation studies are presented to demonstrate the effectiveness of the proposed method.
出处 《海军航空工程学院学报》 2006年第3期337-341,共5页 Journal of Naval Aeronautical and Astronautical University
关键词 非线性系统 自适应控制 神经网络 反演 nonlinear system adaptive control neural network backstepping
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参考文献10

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共引文献13

同被引文献15

  • 1晋玉强,梁瑞胜,申浩.一类非线性系统的神经网络自适应控制[J].海军航空工程学院学报,2007,22(2):222-226. 被引量:2
  • 2胡云安,晋玉强,张友安,崔平远.基于神经网络的严反馈块非线性系统的鲁棒控制[J].控制与决策,2004,19(7):808-812. 被引量:14
  • 3晋玉强,晋玉猛,肖湘江,徐新林.有输入未建模动态的非线性系统自适应逆设计[J].海军航空工程学院学报,2005,20(4):435-438. 被引量:1
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  • 8[8]YE X D,JIANG J P.Adaptive nonlinear design without a priori knowledge of control directions[J].IEEE Translations on automatic control,1998,43(11):1617-1621.
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  • 10[10]KALOUST J,QU Z.Continuous robust control design for nonlinear uncertain systems without a priori knowledge of control direction[J].IEEE Translations on automatic control,1995,40(2):276-282.

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二级引证文献7

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