基于定量反馈理论的液压机驱动系统复合鲁棒控制

针对液压机驱动系统参数摄动和不确定性的特点,建立了系统数学模型,提出了动梁速度外环控制和压力内环控制的分级复合鲁棒控制策略。外环级应用定量反馈理论,设计了鲁棒性较强的速度跟踪控制器和前置滤波器。内环级设计了基于径向基函数的神经网络扰动观测补偿器,运用Lyapunov稳定性定理证明了提出的干扰观测器对扰动抑制的有效性,可在不确定因素存在的情况下实现期望的系统压力跟踪控制。仿真结果表明：该控制方案对系统不确定性的抑制作用明显,且能提高液压机驱动系统的跟踪性能,具有较好的鲁棒稳定性,可有效实现速度切换瞬态过程的平顺性。     

基础隔震建筑的滑模控制

基于滑模控制理论,提出了地震激励下含有不确定性参数的隔震建筑结构的滑模控制方法。通过优化极点配置,设计了鲁棒滑面和相应的滑模控制器。算例控制模拟的结果表明,该控制方法能有效抑制具有不确定参数的结构响应,受限控制的效果也较好。     

学习控制技术·方法应用的发展新动向

分析和概述了当前学习控制系统所采用的技术、学习方法及应用的发展新动向 .从所采用的技术来看 ,学习控制正在从采用单一的技术向采用混合技术的方向发展 ;从学习方法和应用来看 ,学习控制正在从采用较为简单的参数学习向采用较为复杂的结构学习、环境学习和复杂对象学习的方向发展     

Isomorphic transformations of uncertainties for incorporating EMYCIN-style and PROSPECTOR-style systems into a distributed expert system

In the past,expert systems exploited mainly the EMYCIN model and the PROSPECTOR mdoel to deal with uncertaintes.In other words,a lot of stand-alone expert systems which use thse two models are available.If we can use the Internet to Couple them together,their performance will be improved through cooperation.This is because the problem-solving ability of expert systems is greatly improved by the way of cooperation among different expert systems in a distributed expert system.Cooperation between different expert systems with these two heterogeneous uncertain reasoning models is essentially based on the transformations of uncertainties of propositions between these two models.In this paper,we discovered the exactly isomorphic transformations uncertaintis between uncertain reasoning models,as used by EMYCIN and PROSPECTOR.     

不确定性时滞系统的鲁棒镇定控制器设计——LMI 方法*

采用线性矩阵不等式方法,研究一类不确定性动态系统,这类系统具有多重时变状态时滞多重时变控制输入时滞,其不确定性满足范数有界条件。我们得到一了类不确定性时滞系统的可状态反馈镇定的充分条件。     

线性离散不确定系统区域极点配置的状态反馈实现方法

研究利用状态反馈对线性离散不确定系统进行区域极点配置的问题。导出了一个由离散代数Ｒｉｃａｔｉ方程表示的对线性离散不确定系统进行区域极点配置的充分条件,并给出了一个通过求解该方程来确定状态反馈增益矩阵的算法。     

时变时滞不确定系统基于观测器的鲁棒控制器设计

研究了时变时滞不确定系统基于状态观测器的 鲁棒控制器设计问题, 其中不确定性是时变的,满足范数有界条件. 利用Lyapunov稳定性 理论和Razumikhin-type理论,获得了基于状态观测器的鲁棒控制器存在条件, 以及给出了 相应的控制律. 所得结论推广并改进了已知的一些结果. 通过实例说明了其有效性.     

Answering heterogeneous database queries with degrees of uncertainty

In heterogeneous database systems,partial values have been used to resolve some schema integration problems. Performing operations on partial values may producemaybe tuples in the query result which cannot be compared. Thus, users have no way to distinguish which maybe tuple is the most possible answer. In this paper, the concept of partial values is generalized toprobabilistic partial values. We propose an approach to resolve the schema integration problems using probabilistic partial values and develop a full set of extended relational operators for manipulating relations containing probabilistic partial values. With this approach, the uncertain answer tuples of a query are associated with degrees of uncertainty (represented by probabilities). That provides users a comparison among maybe tuples and a better understanding on the query results. Besides, extended selection and join are generalized to -selection and -join, respectively, which can be used to filter out maybe tuples with low probabilities — those which have probabilities smaller than .     

Time response of structures with uncertain parameters under stochastic inputs based on coupled polynomial chaos expansion and component mode synthesis methods

This article presents a numerical procedure to compute the stochastic dynamic response of large finite element models with uncertain parameters based on polynomial chaos and component mode synthesis methods. Polynomial chaos expansions at higher orders are used to derive the statistical solution of the dynamic response as well as the Monte Carlo simulation procedure. Based on various component mode synthesis methods, the size of the model is reduced. These methods are coupled with polynomial chaos expansion and the explicit mathematical formulations are given. Numerical results illustrating the accuracy and efficiency of the proposed coupled methodological procedures are presented.     

随机需求下半开放式冷链物流车辆路径优化

目的 降低冷链物流配送成本的同时,保证客户体验及碳排放达到企业要求。方法 综合考虑运输距离、客户软时间窗约束、碳排放、生鲜变质等因素,以制冷成本及对配送时间惩罚成本在内的总成本最低、碳排放量最低、生鲜产品新鲜度最高为目标,建立多目标生鲜配送路径优化模型,并设计模拟退火算法,以北京某冷链物流企业为例进行求解验证。结果 得出生鲜配送方案,通过配送模式对比表明多中心半开放式在降本和缩短路径长度方面更具优势,其中运输总费用和车辆行驶总距离相比于单中心独立配送模式分别降低了8.41%和36.36%。结论 需求不确定下,合理决策路由可在达到企业对生鲜产品新鲜度及碳排放标准的同时,有效降低配送成本。