摘要：This paper focuses on the problem of stability analysis and controller design for a class of delay systems based on networked control systems. By introducing some free matrix variables, some criteria for stability analysis and observer-based control law design can be obtained by the solving of linear matrix inequalities. A numerical example is also offered to prove the effectiveness of the proposed method.

摘要：In this paper, we consider the design of interconnected H-infinity feedback control systems with quantized signals. We assume that a decentralized static output feedback has been designed for an interconnected continuous-time LTI system so that the closed-loop system is stable and a desired H-infinity disturbance attenuation level is achieved, and that the subsystems＇ measurement outputs are quantized before they are passed to the local controller. We propose a local-output-dependent strategy for updating the quantizers＇ parameters, so that the overall closed-loop system is asymptotically stable and achieves the same H-infinity disturbance attenuation level. Both the pre-designed controllers and the quantizers＇ parameters are constructed in a decentralized manner, depending on local information.

摘要：Address the design of state feedback H ∞ suboptimal controllers. Through parameterization of decentralized controllers, the design condition for the feedback gain is given in the form of a biaffine matrix inequality. An iterative algorithm based on linear matrix inequality(LMI) is proposed to obtain the decentralized controller which ensures the closed loop system asymptotically stable and the H ∞ norm less than constant number 1.

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摘要：This paper presents a new stabilizing control law for a planar vertical take-off and landing *** model is first transformed into an equivalent form,and then a control law consisting of a linear term and a saturated term is given for a related subsystem,with the saturation levels being assigned as large as *** to the existing saturation scheme in which all states are restricted by saturations,the design brings about a relatively fast *** effectiveness and advantage of the design are validated by numerical simulations.

摘要：为克服电液伺服系统不确定性、非线性、估计误差和干扰等因素对系统稳定性和精度的影响,提出了基于自适应模糊神经网络辨识的电液伺服系统L2增益设计方法。用自适应模糊神经网络在线估计包括系统不确定性和非线性在内的未知动态特性,同时用增益自适应变结构补偿自适应模糊神经网络的估计误差,用系统L2增益设计方法抑制干扰对系统的影响,以期使系统对不确定性和非线性具有鲁棒性,而且从干扰到描述系统跟踪误差的评价函数的L2增益小于指定值。

摘要：针对视障人群的自主行走课题进行了研究,研制了基于视触觉功能替代的穿戴式触觉导盲装置。该装置通过导盲眼镜上的迷你光学摄像头采集周围环境的视觉图像信息,视觉图像经二值化处理后转换为触觉图像。借助触觉显示器,视障操作者能够在其胸前的虚拟显示平面上以主动触觉方式感知该图像,从而实现对周围环境信息的触觉感知。原理性实验表明该装置能够有效帮助视障者感知路况和识别环境目标,实现自主行走。摘要针对现场可编程门阵列（FPGA）因集成度与速度提高引起的功耗问题，提出了一种适合于FPGA的低功耗静态随机存储器（SRAM）单元设计方法。该方法基于FPGA中SRAM单元在配制后存储值多数为“0”这一特点以及对SRAM单元存储值为“0”时的主要泄漏电流来源的分析，综合应用双阈值电压技术和双栅氧化层厚度技术降低SRAM单元存储值为“0”时的泄漏功耗。该方法的优点是不增加面积和整体延时，且能改善静态噪声容限。仿真结果表明，与传统结构SRAM单元相比，在保证其他性能的前提下，采用该方法所设计的SRAM单元的泄漏功耗可降低41．32％以上。

摘要：针对太阳电池输出最大功率受到光照强度和温度等因素影响的问题,提出一种基于神经网络反推控制技术的最大功率点跟踪方法。首先利用神经网络求取最优直流母线参考电压,设计反推控制实现光伏发电系统最大功率点跟踪和单位功率因数并网。然后,利用神经网络对光伏发电系统的不确定性部分进行补偿,消除非线性模型的不确定性部分的影响。最后,利用Liyapulov稳定性理论证明了神经网络反推控制器的稳定性。实验结果表明该方法能同时实现光伏发电系统的最大功率点跟踪和单位功率因数并网,具有良好的抗干扰能力。

摘要：常规反推控制存在控制子系统转换复杂和控制噪声的问题,而且在系统存在外部扰动和参数摄动的情形下,需要详细的控制系统信息和增加额外的补偿控制。针对这个问题,提出一种基于粒子群优化自适应反推控制的光伏并网逆变器控制方法。首先基于瞬时功率和空间矢量理论,建立包含电网和并网逆变器参数摄动和外部扰动的动态数学模型。然后,设计粒子群优化算法直接逼近反推控制的控制量,省掉子系统转换和非线性补偿环节,简化了控制系统结构。最后,根据李雅普诺夫(Liyapunov)稳定性分析,求解自适应律,并在线调整粒子群优化算法进化参数。实验结果证明该方法的有效性和鲁棒性。