Adaptive Predictive Inverse Control of Offshore Jacket Platform Based on Rough Neural Network

The offshore jacket platform is a complex and time-varying nonlinear system,which can be excited of harmful vibration by external loads.It is difficult to obtain an ideal control performance for passive control methods or traditional active control methods based on accurate mathematic model.In this paper,an adaptive inverse control method is proposed on the basis of novel rough neural networks (RNN) to control the harmful vibration of the offshore jacket platform,and the offshore jacket platform model is established by dynamic stiffness matrix (DSM) method.Benefited from the nonlinear processing ability of the neural networks and data interpretation ability of the rough set theory,RNN is utilized to identify the predictive inverse model of the offshore jacket platform system.Then the identified model is used as the adaptive predictive inverse controller to control the harmful vibration caused by wave and wind loads,and to deal with the delay problem caused by signal transmission in the control process.The numerical results show that the constructed novel RNN has advantages such as clear structure,fast training speed and strong error-tolerance ability,and the proposed method based on RNN can effectively control the harmfid vibration of the offshore jacket platform.     

面向目标自适应有限元法的带地形三维大地电磁各向异性正演模拟

传统三维大地电磁各向异性模拟均是基于规则六面体网格,计算精度有限且较难拟合复杂地质条件.本文采用面向目标自适应非结构矢量有限元法,对三维大地电磁各向异性介质进行模拟.首先从电场双旋度方程出发,利用伽辽金方法建立变分方程;然后利用电流密度连续性条件构建适合大地电磁各向异性问题的加权后验误差估计方法,实现面向目标的网格自适应正演;最后通过典型算例分析各向异性对网格自适应和大地电磁响应的影响特征以及各向异性的识别方法.本文算法能够高精度地拟合起伏地表和任意各向异性介质,适用于分析复杂地电条件大地电磁响应特征,为提高大地电磁资料解释水平提供了理论基础.

     

一种抑制GPS射频干扰的空频自适应处理算法

为了提高窄带干扰与期望卫星信号同向时的抑制性能,提出了一种新的空频自适应滤波算法。该算法首先利用频域实系数自适应滤波对信号进行预处理抑制窄带干扰,然后在频域直接对处理后的信号进行空频自适应处理抑制宽带干扰。算法在预处理时采用自适应滤波可有效减少期望卫星信号的损失以及SFAP导向矢量误差。仿真实验表明,相对于普通的空时及空频自适应处理算法,新算法有效地提高了输出信干噪比,在干扰与信号同向的情况下也能表现出优良的处理性能。     

社会-生态系统适应性治理研究进展与展望

社会—生态系统（SES）由社会子系统、生态子系统及两者的交互作用构成,具有不同于社会系统或生态系统单独具有的结构、功能和复杂特征。社会—生态系统适应性治理旨在通过适应性的社会权利分配与行为决策机制,使社会—生态系统能够在动态条件下可持续地保障人类福祉。适应性治理理论的形成受到“公共池塘资源管理”“韧性”和“治理”3方面理论的影响,并为“转型治理”与“协作治理”提供了建构基础。该理论具有以下3个主要目的：① 理解和应对社会—生态系统多稳态、非线性、不确定性、整体性以及复杂性;② 建立非对抗性的社会结构、权利分配制度以及行为决策体系,匹配社会子系统与自然子系统;③ 通过综合方法管理生态系统,使其可持续提供生态系统服务。因此,面对人类行为主导地表过程的“人类世”,实现适应性治理有助于应对社会—生态系统的复杂性与不确定性。鉴于中国的生态环境正处于迅速变化时期,且中国与世界各国间的相互影响日益复杂,未来研究可重点关注以下3个方面：① 理解耦合系统的多元互动过程,增强适应能力;② 强调社会—生态系统的整体性研究;③ 提高环境变化背景下理解和预测系统动态的能力。     

Improvement in the performance of solar adaptive optics

Adaptive optics （AO）, which provides diffraction limited imaging over a field-of-view （FOV）, is a powerful technique for solar observation. In the tomographic approach, each wavefront sensor （WFS） is looking at a single reference that acts as a guide star. This allows a 3D reconstruction of the distorted wavefront to be made. The correction is applied by one or more deformable mirrors （DMs）. This technique benefits from information about atmospheric turbulence at different layers, which can be used to reconstruct the wavefront extremely well. With the assistance of the MAOS software package, we consider the tomography errors and WFS aliasing errors, and focus on how the performance of a solar telescope （pointing toward zenith） is related to atmospheric anisoplanatism. We theoretically quantify the performance of the to- mographic solar AO system. The results indicate that the tomographic AO system can improve the average Strehl ratio of a solar telescope in a 10＂ - 80＂ diameter FOV by only employing one DM conjugated to the telescope pupil. Furthermore, we discuss the effects of DM conjugate altitude on the correction achievable by the AO system by selecting two atmospheric models that differ mainly in terms of atmospheric prop- erties at ground level, and present the optimum DM conjugate altitudes for different observation sites.     

Model of optical turbulence profile at Cerro Pachón

New measurements of optical turbulence profile at the Cerro Pachón observatory in Chile are analysed jointly with previously published data to model the variations of the intensity and thickness of the ground layer and free atmosphere under a variety of observing conditions. This work is motivated by the need to predict statistically the performance of ground-layer adaptice optics. We find that the ground-layer profile can be represented by a decaying exponent with a scale height of 20–40 m, increasing to 100 m under bad conditions. The zone from 6 to 500 m contributes typically about 61 per cent to the total integral, the latter causing a median seeing of 0.77 arcsec. Turbulence integrals in the ground layer and in free atmosphere vary independently of each other, in 50 per cent of cases they deviate by less than 1.8 times from their respective median values. The existence of periods with low turbulence in the free atmosphere and their importance for adaptive optics is stressed.     

Phasing segmented mirrors using defocused images at visible wavelengths

Plans for future optical telescopes of diameter more than 10 m are based on segmented mirrors, made up of hundreds or even thousands of segments. A challenge for these telescopes is the alignment in piston (cophasing) where phase differences between individual segments have to be reduced to a small fraction of the observing wavelength in order to avoid degradation of image quality.
Based on the phase discontinuity sensing method used at the Keck telescopes to measure small piston errors using infrared wavelengths, we develop a new method that allows fast high-precision measurements of large piston errors even at visible wavelengths.     

复杂背景下的仿蝇视觉遥感异常检测

本文针对遥感影像复杂背景下,背景地物光谱特征与目标光谱特征之间存在较强相关性的问题,提出一种基于仿蝇视觉的复杂背景下遥感异常检测算法。首先构建并行多孔径背景模型,实现对复杂背景特征的自适应描述;然后基于异常目标的光谱特征相对异常性,采用相对马氏距离区分异常区域、不确定区域与无目标区域,消除背景与目标光谱相关性对检测结果干扰的同时,弥补了传统假设检验无法区分无目标和不确定问题的不足;最后融合多个背景模型的检测结果,实现异常目标检测。仿真实验将围绕多种背景地物并存复杂区域的异常检测验证本文算法的有效性。     

一种结合四元数与直方图的多光谱图像自适应边缘检测方法

针对图像自适应边缘检测的难点和传统多光谱遥感图像边缘检测方法的局限性,提出了一种结合四元数与直方图的自适应边缘检测方法。该方法在四元数空间,利用矢量旋转完成了多光谱图像的边缘检测,并通过直方图统计的方法获取自适应阈值,实现了边缘图像的检测。利用陆地多光谱遥感图像和水域多光谱遥感图像分别进行实验,验证了方法的有效性。     

信息分配系数的自适应滤波在GPS/DR组合导航中的应用

在组合导航中常采用联合滤波器进行多源传感器的信息融合,其中信息分配系数的取值直接影响着联合滤波器的性能。在详细分析子滤波器状态变量估计协方差阵特点的基础上,文中提出了采用两组信息分配系数的自适应联合滤波模型,并将设计的自适应联合滤波模型应用于车载GPS/DR组合导航中。仿真实验表明,导航的位置精度提高约为40%;速度精度提高约为10%。同时也提高了组合系统的容错性和可靠性。