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.     

广东博贺澙湖潮滩的冲淤变化及其动力作用分析

基于遥感技术,对反映17 a来博贺澙湖的5景遥感影像定量反演潮滩水边线,在此基础上推算澙湖潮滩的沉积与冲刷速率,同时对引起潮滩变化的动力作用进行探讨,结果表明博贺澙湖的潮滩以淤展为主,其中处于开敞地段的澙湖潮滩出现冲刷,遮蔽岸段的澙湖潮滩淤积,控制澙湖潮滩变化的主要因子是包括圈围潮滩成盐田、虾池以及鱼塘等的人类活动.     

COMCOT数值模式的介绍和应用

介绍了一个成熟的海啸数值模式-COMCOT模式.COMCOT模式是一个能够模拟海啸产生、传播和增水全过程的基于浅水波方程的有限差分模型.模型采用多层网格嵌套,根据海啸在不同区域的传播特点和要求,分别选用不同的分辨率和计算设置,从而兼顾了模式的精度和计算效率.利用此模式模拟了2006年12月26日台湾南部7.2级地震产生海啸波的传播情况,结果与两个潮位站的海啸波监测数据相吻合.     

台湾海峡一次海啸的初步数值模拟

应用一个三维斜压陆架海模式--HAMSOM模式,首先对台湾海峡内的背景潮汐场进行了数值模拟,随后将一个参数化公式作为强迫条件,对1994年发生在海峡内的一次海啸进行模拟,结果与实测数据比较吻合.还分析了海啸波在海峡沿岸的分布情况及其对沿岸区域的影响状况,结果表明该次海啸波动对海峡沿岸区域的影响不大.     

Characteristics of water exchange in the Luzon Strait during September 2006

The Luzon Strait is the only deep channel that connects the South China Sea(SCS) with the Pacific.The transport through the Luzon Strait is an important process influencing the circulation,heat and water budgets of the SCS.Early observations have suggested that water enters the SCS in winter but water inflow or outflow in summer is quite controversial.On the basis of hydrographic measurements from CTD along 120° E in the Luzon Strait during the period from September 18 to 20 in 2006,the characteristics of t...     

基于非线性动力学模型的旅游生态容量分析

近年来,大量增加的游客给景区的旅游生态容量带来了较大的压力,矛盾日渐突出。为了实现景区的环境保护与可持续发展,研究游客活动量与景区旅游生态容量之间的关系是十分必要的。本文从非线性动力学观点出发,构建二者非线性动力学模型,并进行平衡态分析。研究结果表明:(1)系统要达到可持续发展,必须建立在景区环境的自我更新能力及人工恢复程度之和大于外界污染水平,且游客的增长率必须保持在较低水平的基础上;(2)景区旅游生态容量的承载力是有限的,所能容纳的游客也是有限的,超过一定的限度就会引起生态系统失衡。采取严格控制游客量,加强对景区内外环境的保护和改善、提升游客素养等措施,对于系统的协调发展至关重要。     

基于Multisim X的计算机辅助电子电路设计

学好<电子线路>这门课程,不仪需要有扎实的电路分析和信号与系统等专业基础知识,还需要在学习过程中加入单元或系统电路的实验环节,这样才能完成整个电路的设计.介绍如何在电路的理论没计基础之上,以Multisim X这一仿真软件为实验平台,仿照硬件环境来完成电路的最终设计的.     

集合卡尔曼滤波在流域水文模型流量预报中的应用

针对流域降雨入渗过程,引入集合卡尔曼滤波(EnKF)理论,视整个边坡流域为一个随机动态系统,将边坡流域流量观测值作为系统的输出,用集合卡尔曼滤波模型来描述系统的状态;结合流域流量计算方法,实现水文模型参数的随机动态估计,在有效获得待估参数的同时还给出估计值的不确定性.通过数值算例表明,集合卡尔曼滤波可以有效地对含噪声的量测数据进行处理,能够跟踪水文模型的动态变化.相对于常用最优化算法,集合卡尔曼滤波同时给出反演结果和先验知识的后验分布,显示出更好的实时性和可靠性.     

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