船舶操纵非线性系统的鲁棒变结构控制

本文采用伪线性化变换将船舶操纵非线性系统近似地化为线性可控正则型，并对线性化系统设计了一种连续的变结构以提高整个闭环系统的鲁棒性。该方案用于限制水域中船舶的航向航迹纠编控制中，取得了预期的结果。     

基于神经网络非线性系统辨识和控制的研究

本文提出了由静态的前馈网络和稳定的滤波器构成的非线性系统的辨识模型，在神经网络固有的逼近误差存在的情况下，从理论上讨论了神经网络应用于辨识控制过程中系统的稳定性问题，最后研究了在非线性系统的轨迹跟踪过程中增加滑动控制来偿神经网络的逼近误差，从而提高系统跟踪性能。     

故县水库的开发任务与调度运用

通过对故县水库水文特征分析,论述了水库开发任务和要求。并根据水库的洪水、径流、泥沙特性,拟定了水库防洪运用的控制条件和运用方式,以及水库的兴利运用水位和原则。对水库工程的投资和效益作出了分析和评价。     

Intelligent Control of Consolidation and Solidification Processes

Intelligent processing of materials (IPM) deals with the integration of process models and in situ sensors into an intelligent process controller to achieve desired material properties. IPM-based control systems recently have been developed for both consolidation and solidification processes. This article explores the application of models based on the finite- element method (FEM) to develop process actuation systems, to design process schedules and component shape, and to develop a control model with which to control the process. The results in this article were presented at the AeroMat ’93 Advanced Aerospace Materials/Processes Conference and Exposition, Anaheim, CA, 7–10 June 1993     

八位MCU指令在CPU中的控制与执行

本文以MOTOROLA8－bitMCUme68hc05为例，讨论指令在CPU中的执行原理和实现方法，从原理上探究单片机的设计思想。     

网络安全技术研究

网络安全问题已经成为网络发展中急需解决的问题。已经引起人们的重视。给出了网络安全的概念，网络所面临的威胁，提出了解决网络安全的相关技术。     

先进控制在环管法聚丙烯装置中的应用

以九江石油化工总厂70kt/a聚丙烯装置产率控制为例,介绍先进过程控制系统在石油化工装置上的应用情况。     

西电东送战略研究

西电东送战略系在对我国东、西部地区自然资源和经济资源的差异性与互补重构的必要性研究的基础上形成与发展的。对西北、华北联网工程和西南水电能源基地建设的研究。主要围绕西部水电开发规模、时序、可能外送电力的能力、流向、，以及其经济合理性技术可行性展开。加强国家的产业、行业政策引导，实施多元资源互补策略，必将促进西电东送事业的发展。     

Robotics in the factory of the future: AI in manufacturing: The NBS AMRF as an intelligent machine

Within its Automated Manufacturing Research Facility (AMRF), the U.S. National Bureau of Standards (NBS) is addressing research issues in interface standards for the fully automated factory of the future for the production of small batches of discrete parts. Consisting of robots, machine tools and computers, the AMRF is being integrated using a real-time, sensory-feedback, data-driven hierarchical control architecture. As such, the AMRF is a research tool for investigating the manufacturing enterprise as a system of intelligent machines. This paper: (1) describes the AMRF in terms of its real-time control system architecture; (2) notes the role of symbolic languages, knowledge-representation, sensory-processing and other aspects of artificial intelligence in its development; and (3) speculates on further application of AI in future intelligent manufacturing systems similar in form to the AMRF.