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脉冲Hopfield神经网络的鲁棒H-稳定性及其脉冲控制器设计(英文) 被引量:7
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作者 刘斌 刘新芝 廖晓昕 《控制理论与应用》 EI CAS CSCD 北大核心 2003年第2期168-172,共5页
研究了脉冲Hopfield神经网络在Hopfield意义下的鲁棒稳定性 .通过应用Lyapunov函数法和Riccati不等式方法 ,得到了脉冲Hopfield神经网络鲁棒稳定和鲁棒渐近稳定的充分条件 ,在此基础上 ,设计出了易于实施的脉冲控制器来镇定Hopfield神... 研究了脉冲Hopfield神经网络在Hopfield意义下的鲁棒稳定性 .通过应用Lyapunov函数法和Riccati不等式方法 ,得到了脉冲Hopfield神经网络鲁棒稳定和鲁棒渐近稳定的充分条件 ,在此基础上 ,设计出了易于实施的脉冲控制器来镇定Hopfield神经网络 .最后 ,给出了例子 . 展开更多
关键词 脉冲Hopfield神经网络 鲁棒h-稳定性 脉冲控制器 设计 LYAPUNOV函数 RICCATI不等式
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Robust control with compensation of adaptive model for dual-stage inertially stabilized platform 被引量:3
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作者 SONG Jiang-peng ZHOU Di +1 位作者 SUN Guang-li QI Zhi-hui 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第11期2615-2625,共11页
To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a sec... To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a secondary servo mechanism to control lens motion in the imaging optical path.Firstly,the dual-stage dynamics is mathematically modeled as a coupling multi-input multi-output(MIMO)control system.Then,by incorporating compensation of adaptive model to deal with parameter variations and nonlinearity,a systematic robust H∞control scheme is designed,which can achieve good tracking performance,as well as improve system robustness against model uncertainties.Lyapunov stability analysis confirmed the stability of the overall control system.Finally,simulation and experiment results are provided to demonstrate the feasibility and effectiveness of the proposed control design method. 展开更多
关键词 dual-stage control inertially stabilized platform robust H∞control adaptive model
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