动态规划的"三论"思想及对企业信息化建设的启示

首先简要介绍了动态规划原理,然后较详细地剖析了蕴含在动态规划方法中的系统论、控制论和信息论思想;针对当前企业信息化建设工作,阐述了借鉴动态规划解决问题的思想方法来处理企业信息化建设工作中出现的问题的几点启示。     

基于VSM的企业信息系统构架研究

现代企业最具挑战性的任务就是如何才能在复杂多变的环境下保持其长期的生存能力。论文通过对组织控制论及生存系统模型的深入分析,并结合现代信息技术提出了一种基于VSM的企业信息系统构架,以此来有效地支持企业的业务活动和保持其活力。     

宏观经济管理中一类系统的最优控制问题研究

把宏观经济系统抽象成由状态方程相同但各自状态不同的系统构成的组合系统，运用分布参数系统的建模方法建立了数学模型，并研究了系统的最优控制问题。最后给出了这种建模与优化方法在最优广告策略中的一个应用例子。     

从现代信息科技发展看自动化学科的使命和发展趋势

该文从信息科学全局发展的角度论述自动化学科的作用及其在信息时代的重要地位. 具体介绍国内外自动化科技的发展、社会影响和面临的挑战,以及专家们提出的对策意见.针对我国特点提出了若干关于发展方向和政策的建议.     

体验经济的畅想——控制论分析非物质主义设计

通过对控制论概念的分析,了解控制论的基本观点。介绍非物质主义的产生及非物质主义设计存在的价值,分析它与传统的产品消费模式的区别。用控制论的观点对非物质主义进行剖析,并结合当下的经济社会状况,通过对具体事例的阐述,设想其在体验经济时代该如何运用,才能使企业或者说经营者更好发展。     

21世纪控制论的发展态势: 纪念控制论创立70周年(1948–2018)(评论)

论文认同控制论应定位为技术科学.它的核心部分(基本原理或核心理念)和它的各分支是一个整体.并认为控制论的发展必定是波浪式.据此才能对控制论现今发展态势作出正确的估计和评价.论文汇总核心部分的14个基本原理或核心理念;核心部分和分支相辅相成地发展.在两者发展的基础上,控制论定义会再更新.最后论文列举出控制论各分支的研究热点.     

REQUISITE VARIETY IN THE SYSTEMS AND CONTROL SCIENCES

Trends in the systems and control sciences are discussed in relation to certain results in cybernetics. In particular, optimal control theory is reviewed in the light of practical engineering requirements and servomechanism theory is considered in the light of Ashby's law of requisite variety.     

将现代控制论的观点和方法渗入到电子技术的教学与实验中

结合《电子技术基础》的“运算放大器”一章，运用“现代控制论”的能控、能观、李雅普诺夫稳定性等原理，通过电子实验予以实现，对“电路理论”与“现代控制论”两门课起到了承前启后的作用。     

Control of Walking in the Stick Insect: From Behavior and Physiology to Modeling

Classical engineering approaches to controlling a hexapod walker typically involve a central control instance that implements an abstract optimal gait pattern and relies on additional optimization criteria to generate reference signals for servocontrollers at all the joints. In contrast, the gait of the slow-walking stick insect apparently emerges from an extremely decentralized architecture with separate step pattern generators for each leg, a strong dependence on sensory feedback, and multiple, in part redundant, primarily local interactions among the step pattern generators. Thus, stepping and step coordination do not reflect an explicit specification based on a global optimization using a representation of the system and its environment; instead they emerge from a distributed system and from the complex interaction with the environment. A similarly decentralized control at the level of single leg joints also may explain the control of leg dynamics. Simulations show that negative feedback for control of body height and walking direction combined with positive feedback for generation of propulsion produce a simple, extremely decentralized system that can handle a wide variety of changes in the walking system and its environment. Thus, there is no need for a central controller implementing global optimization. Furthermore, physiological results indicate that the nervous system uses approximate algorithms to achieve the desired behavioral output rather than an explicit, exact solution of the problem. Simulations and implementation of these design principles are being used to test their utility for controlling six-legged walking machines.     

A control-theoretic view on incentives

The idea of declaring a reward (punishment) for a decision maker according to his particular choice of action in order to induce certain ‘desired’ behavior on the part of the decision maker is known as incentive (threat). This practice is age old. However, only in recent years have the notions been formalized. In the development of a control-theoretic view on incentives, we first investigate the deterministic version of the incentive problem. This reveals the basic simple idea behind the problem. It also illustrates the different possibilities introduced by the presence of dynamics and multi-follower nature of the problem. This is followed by two variants of the stochastic version of the problem where we concentrate on the role of uncertainties. Relationship to economic literature is also discussed.