CAJ | 학술논문

针对非线性动态系统不稳定性,提出了一种基于模糊神经网络的H_∞鲁棒直接自适应控制方法,通过设计非线性动态系统的H_∞控制器,采用模糊神经网络在线学习对动态系统的建模不确定性产生的误差,可保证不确定闭环稳定并具有H_∞性能,并证明了模糊神经网络H_∞鲁棒直接自适应控制系统的稳定性,仿真算例也表明了该方法具有较好的抗干扰性能、鲁棒性较好.
침대비선성동태계통불은정성,제출료일충기우모호신경망락적H_∞로봉직접자괄응공제방법,통과설계비선성동태계통적H_∞공제기,채용모호신경망락재선학습대동태계통적건모불학정성산생적오차,가보증불학정폐배은정병구유H_∞성능,병증명료모호신경망락H_∞로봉직접자괄응공제계통적은정성,방진산례야표명료해방법구유교호적항간우성능、로봉성교호.
To deal with the inherit instability of non-linear dynamic systems, a direct adaptive control method for an robust fuzzy neural network based nonlinear dynamic system controller was developed. The controller is composed of an control element for the nonlinear dynamic system and a direct adaptive control element. On-line learning of the fuzzy neural network is used to regulate errors caused by modeling uncertainties in order to guarantee system stability and performance. The stability of the designed system was proven in this paper, and a simulation demonstrated the effectiveness of the proposed method.