空间控制技术发展与展望

控制是航天器在空间环境下自主完成复杂任务的关键技术。首先梳理了中国空间控制技术过去50多年来的发展成果,总结划分为航天器姿态控制、姿态轨道控制、“感知-决策-执行”(Perception-decision-action,PDA)自主控制三个方面,并在综述了各方面主要进展的基础上,围绕超大结构航天器姿态轨道控制、轨道空间博弈控制、网络化航天器集群控制、地外探测智能无人系统控制、跨域航天器自主控制、在轨建造与维护(On-orbit servicing,assembly,and manufacturing,OSAM)控制6个技术方向,提出面临的挑战和需要重点关注的基础性问题,为空间控制技术未来的发展提供借鉴和参考。

汽车电动助力转向系统的控制策略研究

从理论上分析了汽车电动助力转向(EPS)系统的非线性、时变特性问题,并在此基础上提出了一种智能决策基础控制的控制模式,研究了EPS系统的控制策略及实现逻辑,讨论了电机控制目标电流的给定方式,针对系统特定时变参数,实现了实用的在线辨识算法.

Towards a Dynamic Controller Scheduling-Timing Problem in Software-Defined Networking

Controller vulnerabilities allow malicious actors to disrupt or hijack the Software-Defined Networking. Traditionally, it is static mappings between the control plane and data plane. Adversaries have plenty of time to exploit the controller's vulnerabilities and launch attacks wisely. We tend to believe that dynamically altering such static mappings is a promising approach to alleviate this issue, since a moving target is difficult to be compromised even by skilled adversaries. It is critical to determine the right time to conduct scheduling and to balance the overhead afforded and the security levels guaranteed. Little previous work has been done to investigate the economical time in dynamic-scheduling controllers. In this paper, we take the first step to both theoretically and experimentally study the scheduling-timing problem in dynamic control plane. We model this problem as a renewal reward process and propose an optimal algorithm in deciding the right time to schedule with the objective of minimizing the long-term loss rate. In our experiments, simulations based on real network attack datasets are conducted and we demonstrate that our proposed algorithm outperforms given scheduling schemes.

Weed Recognition Using Image-Processing Technique Based on Leaf Parameters

Weeds normally grow in patches and spatially distributed in field. Patch spraying to control weeds has advantages of chemical saving, reduced cost and environmental pollution. Advent of electro-optical sensing capabilities has paved the way of using machine vision technologies for patch spraying. Machine vision system has to acquire and process digital images to make control decisions. Proper identification and classification of objects present in image holds the key to make control decisions and use of any spraying operation performed. Recognition of objects in digital image may be affected by background, intensity, image resolution, orientation of the object and geometrical characteristics. A set of 16, including 11 shape and 5 texture-based parameters coupled with predictive discriminating analysis has been used to identify the weed leaves. Geometrical features were indexed successfully to eliminate the effect of object orientation. Linear discriminating analysis was found to be more effective in correct classification of weed leaves. The classification accuracy of 69% to 80% was observed. These features can be utilized for development of image based variable rate sprayer.

Real-Time Temperature Control for High Arch Dam Based on Decision Support System

It is important and difficult to control the temperature of mass concrete structure during high arch dam construction.A new method with decision support system is presented for temperature control and crack prevention.It is a database system with functions of data storage,information inquiry,data analysis,early warning and resource sharing.Monitoring information during construction can be digitized via this system,and the intelligent analysis and dynamic control of concrete temperature can be conducted.This method has been applied in the construction of the Dagangshan Arch Dam in China and has proven to be very convenient.Based on the decision support of this system and the dynamic adjustment of construction measures,the concrete temperature of this project is well-controlled.

Effects of Information Technologies Over Decision-Making Process About Cost Controlling at Food and Beverage Departments at Five-Star Hotels

Information technologies play an important role in many business areas. One of these areas is hotel information system. Many operations, such as check-in, check-out, and food and beverage, are performed owing to information technologies. Package programs are used for managing hotel operations. Software provides reporting, filtering, remote accessing, and cost control services which are important key parameters of decision-making processes of hotel managers. Cost control is one of the most important operations in hotel management. Cost control service of package programs assists managers in monitoring overall cost and computing each department＇s partial cost and serves information to the different departments of hotels using information technologies. Cost control is important in the departments which are profitable in a hotel. Food and beverage is one of these profitable departments, which is the second profitable department in hotels. It makes profit between mostly 20% and 40%. This research aims to understand effects of information technologies during decision-making processes. The sample of study is food and beverage managers in five-star hotels in Istanbul. Questionnaire was applied to 45 participants.

Shift scheduling strategy development for parallel hybrid construction vehicles

The shift scheduling system of the transmission has an important effect on the dynamic and economic performance of hybrid vehicles. In this work, shift scheduling strategies are developed for parallel hybrid construction vehicles. The effect of power distribution and direction on shift characteristics of the parallel hybrid vehicle with operating loads is evaluated, which must be considered for optimal shift control. A power distribution factor is defined to accurately describe the power distribution and direction in various parallel hybrid systems. This paper proposes a Levenberg-Marquardt algorithm optimized neural network shift scheduling strategy. The methodology contains two objective functions, it is a dynamic combination of a dynamic shift schedule for optimal vehicle acceleration, and an energy-efficient shift schedule for optimal powertrain efficiency. The study is performed on a test bench under typical operating conditions of a wheel loader. The experimental results show that the proposed strategies offer effective and competitive shift performance.

An Analysis on the Inconsistency of the Security Supervision Policy in the Method of Game Theory

This article expounds and proves the basic model of the inconsistency of the security supervision policy and makes an analysis in the method of game theory on the inconsistency of the security transaction-tax-rate policy, concludes that the security supervision department is inclined to increase or decrease the security transaction tax rate, thus points out ways for supervision department to surmount this difficulty.

A Novel Model of F0 Contours Prediction for Continuous Speech

F0 (fundamental frequency) contour was studied under different prosodic environment in continuous speech and a novel model of F0 contours prediction was proposed. It describes syllabic F0 contour with two points, one curve and duration. The curve represents two optimal points of controlling parameters. The duration represents the syllabic duration. The prosodic characters of controlling parameters were analyzed by CART (Class and Regression Tree). A set of cont rolling parameters was analyzed, which reflects the linguistic environment and prosodic structure. Then it sets up the model of F0 contours prediction with the two optimal controlling parameters and F0 templates. The end pitch value of previous syllable as special prosodic parameters was used to keep the continuity of fore-and-aft syllable. It focuses on looking out the main prosodic clues hiding in F0 contours and applying it to simplify the model for prediction. The results of s ynthesis experiment show that the performance of the prediction method is apprec iated.

Decision Support System for Flood Control with Applications to Jiangxi Province

Affected by the climatic fluctuation and human activities, significant changes of the flood control situation are taking place in China. In the new century, the flood control systems have to face a series of challenges. In this paper, we design fa decision support system (DSS) for flood control based on its requirements. The DSS has been applied to decision-making for flood control in Jiangxi province, and play an important role in the flood control in the recent two years. Finally, we plot the further improvement on the DSS so that it will make more contribution in the flood control.

Traffic Emission Control： A Knowledge Based Approach

At present the entire world is under the risk of severe environmental problems, due to the expansion of industries, urban population and commercial activities, the city like Delhi （India） faces transportation, environmental and economic challenges. Such type of situations demand the addition of knowledge based layer to help the operators to be familiar with exact traffic problem and give the best choice of strategic control actions to the city. In current situation there is a necessity to build systematic, knowledge based tool to analyze and manage the recent or potential air quality issues and traffic noise issues. The paper comprises the creation of knowledge from the information which is extracted from the various data by using knowledge based modules （spreadsheets, database, software, etc.） and some management, optimization models. Such type of knowledge based management tool may act as a Decision Support System （DSS） which will be very supportive in traffic control system. The technology of knowledge-based systems may facilitate in designing and executing suitable knowledge structures to formulate conceptual models for traffic analysis and management and to use such approach for on-line strategic traffic management operations.

Complexity Decision Making and General Systems Theory： An Educational Perspective

The aim of this paper is to look at some important educational aspects of complexity decision making m a mummsc^pnnary manner from the perspective of General Systems Theory （GST）. First, the major issues involved in complexity management and decision making are summarized as they are viewed in literature, and a review of GST and Systems Thinking is given. The discussion in the paper is developed within the context of GST in general, but concentrated on decision making in the three trends of GST： Operations Research, Cybernetics, and Managerial Cybernetics. Here, the role of Cybernetics in complexity decision making is particularly emphasized. The discussion is then extended to the latest developments in complexity decision making in Science of Complexity and Soft Systems Thinking. The study also includes a framework which is expected to guide instructors who are planning to offer contemporary courses on decision making. The framework provides some clues for assessing the level of complexity for a given situation and selecting the appropriate methodology for solution development.

An Intelligent System for a Resource Allocation Problem Based on Fuzzy Reasoning

The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.

Electric Tilt ＆ Telescopic Column Driven by EPS Motor

In order to improve driver convenience, electronic tilt ＆ tele column is applied to a full sized car. To operate electronic tilt ＆ tele, it needs two motors and one electronic controller. Because of high cost component parts, it is difficult to apply to a midsize car. Meanwhile, to cope with regulations of fuel efficiency and emission, motor driven power steering system is applied to a full sized car from a small car. But MDPS （Markov decision processes） also consist of high cost component parts （motor and electronic controller）. This paper proposed the MDPS motor-driven electronic tilt ＆ tele column system which has single motor and an integrated electronic controller and introduced the detailed design study and evaluation results.

Time-consistent investment-reinsurance strategies towards joint interests of the insurer and the reinsurer under CEV models

The present paper studies time-consistent solutions to an investment-reinsurance problem under a mean-variance framework.The paper is distinguished from other literature by taking into account the interests of both an insurer and a reinsurer jointly.The claim process of the insurer is governed by a Brownian motion with a drift.A proportional reinsurance treaty is considered and the premium is calculated according to the expected value principle.Both the insurer and the reinsurer are assumed to invest in a risky asset,which is distinct for each other and driven by a constant elasticity of variance model.The optimal decision is formulated on a weighted sum of the insurer’s and the reinsurer’s surplus processes.Upon a verification theorem,which is established with a formal proof for a more general problem,explicit solutions are obtained for the proposed investment-reinsurance model.Moreover,numerous mathematical analysis and numerical examples are provided to demonstrate those derived results as well as the economic implications behind.