一类随机非线性系统的自适应控制
일류수궤비선성계통적자괄응공제
Adaptive control uncertain stochastic for a class of nonlinear system
  • 万方数据
    渤海大学学报：自然科学版 발해대학학보：자연과학판
    Journal of Bohai University:Natural Science Edition
    2012年 3期 239-247 ,共9页

    闫绍新%陈兵%王涣青

    염소신%진병%왕환청

    自适应控制%神经网络%backstepping%随机系统 自適應控製%神經網絡%backstepping%隨機繫統
    자괄응공제%신경망락%backstepping%수궤계통
    adaptive control%neural network (NN)%backstepping%stochastic system
    研究一类单输入单输出的严格反馈随机非线性系统的自适应神经控制问题.利用神经网络参数化（RBF）和backstepping技术来进行控制器设计.所设计的控制器确保所有闭环信号是概率意义下有界的.
    연구일류단수입단수출적엄격반궤수궤비선성계통적자괄응신경공제문제.이용신경망락삼수화（RBF）화backstepping기술래진행공제기설계.소설계적공제기학보소유폐배신호시개솔의의하유계적.
    Adaptive neural control is researched for a class of single - input and single - output stochastic nonlinear system in strict -feedback form. RBF and baekstepping technologies are applied to design the controller, which guarantees that all the closed -loop signals are bounded in probability.
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