非线性动态系统的模糊神经网络自适应H_∞鲁棒控制
DOI: 10.3969/j.issn.1006-7043.2009.09.022
Keywords: 模糊神经网络 H_∞控制 非线性动态系统 鲁棒性 fuzzy neural network H_∞ control nonlinear dynamic system robustness
Abstract:
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.
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