基于多Agent技术的分布式协同设计结构的研究

将多Agent技术引入协同设计中，使所构造的协同设计系统具有多Agent系统的分布性、协作性、智能性的特点。文中给出了Agent的结构、协同设计单元的多Agent组成和基于Web服务的整个协同设计系统的结构； 并对协同设计系统实现的一些关键技术进行了讨论，包括Agent的创建、Agent之间的交互、知识的共享和Agent之间的冲突的消解。     

基于多Agent的协同家具设计系统（CoFCADS）的研究

协同设计是实现并行工程的关键，CSCW为协同设计的实现提供了有力的环境和技术支持，本文简要介绍了Agent单元和多Agent系统的概念和特性，介绍了协同家具设计系统的Agent单元结构，提出了一个基于多Agent的协同家具设计系统模型，最后对基于多Agent的家具协同设计系统的两种实现模式进行了阐述。     

连续系统极点配置设计方法的研究

介绍了单输入单输出连续系统极点配置设计的几种方法.证明了多输入多输出系统可以转化为单输入单输出系统,这样多输入多输出系统极点配置可以参照单输入单输出系统的极点配置方法进行设计.     

基于多Agent的协同家具设计系统(CoFCADS)的研究

协同设计是实现并行工程的关键,CSCW为协同设计的实现提供了有力的环境和技术支持。本文简要介绍了Agent单元和多Agent系统的概念和特性,介绍了协同家具设计系统的Agent单元结构,提出了一个基于多Agent的协同家具设计系统模型,最后对基于多Agent的家具协同设计系统的两种实现模式进行了阐述。重庆大学机械工程学院 付红桥 何玉林     

USB3.0超高速多串口传输系统的设计

设计了一种基于USB3.0和FPGA的多串口传输系统,以实现超高速数据传输。介绍了系统的硬件设计框架及系统的软硬件设计流程,给出了系统软件设计框图、FPGA设计逻辑模块以及时序。最后给出了实验结果,验证了该系统的可行性。     

基于APL语言的多Agent交互平台构架

在分析目前多Agent系统设计现状的基础上,以APL语言为基础,吸收J2EE构架在设计分布式系统中的技术优势,提出了多Agent交互的构架和谈判系统的解决方案。同时,引入了Spring轻量级构架的设计思想,对平台设计进行了优化。     

多尺度传感网络失效节点检测系统设计

对多尺度传感网络中的失效节点进行准确检测与定位,实现故障节点的高效检测,保障传感网络的可靠运行。提出一种基于多传感器量化融合跟踪滤波检测的失效节点检测算法,并进行检测系统优化设计。构建多尺度传感网络的节点分布实体对象模型,进行失效节点检测系统总体设计和技术指标分析。设计基于多传感器量化融合跟踪滤波检测的失效节点检测算法。进行系统的硬件设计,包括A/D模块设计、时钟电路设计、程序加载电路设计、传感器通信模块设计和系统电源模块设计。在ARM Cortex?-M0平台上进行检测系统软件开发。系统仿真结果表明,该系统进行多尺度传感网络失效节点检测的准确度较高,提高了传感器网络的寿命周期。     

空调生产线检测系统的设计和应用

介绍了空调生产线检测系统的设计背景,设计了系统硬件结构、软件功能结构,分析了系统实现中的关键。运行表明：所设计的检测系统能实现多类型的空调室外机的出厂检测。     

多显示输出系统及其仿真的设计与实现

多显示输出系统是嵌入式系统设计的一个重要组成部分。构建多显示输出系统、提供一个仿真环境，对于加速终端系统的开发和调试进程是至关重要的。该文结合开发实践给出了基于单Frame buffer的多显示输出系统的设计和实现，给出了基于单硬件的单Frame buffer多LCD输出系统的仿真系统的设计，以便应用调试。在TI Omap和嵌入式Linux的开发经验的基础上，该文给出了系统设计，讨论了相应的实现技术。     

一种移动多点远程无线视频监控系统的设计

提出了一种移动多点远程无线视频监控系统的设计方法.分析了该移动多点远程无线视频监控系统及其跟踪采集运动物体状况方面的特点;提出了系统的整体构架及系统终端的整体设计;对移动多点远程无线视频监控系统的关键技术的实现进行了阐述.最后给出了该系统的应用定位.     

Modelling and controller design for distributed parameter systems via residence time distribution

For chemical reactors with non-linear fluid dynamics, a linear model realisation is proposed. The inputs are the ingoing concentration of a certain component in the fluid, and the reaction rate. The output is the outgoing concentration. The realisation makes use of a first-order reaction equation, and the residence time distribution of the fluid particles inside the reactor. Also dead time is incorporated in the modelling. The method is tested on two non-linear models for which the residence time distributions are known analytically. The first model is a series of mixed tanks, and it is shown by simulation that the method gives an accurate approximation of the original model. The second model is a UV disinfection reactor, which has a dead time. For this model, the residence time distribution is first fitted by a form that is suitable for our realisation method. Simulations show that for realistic disturbances a high-performance linear controller can be designed. After that, the residence time distribution of a real life UV reactor (for which we have no model) is fitted by a suitable form. The fit is of the same quality as for the UV reactor model. This indicates that also for the real life UV reactor a high-performance controller can be designed.     

An Application of a Neural Self-Tuning Controller to an Overhead Crane

A neural network-based self-tuning controller is presented. The scheme of the controller is based on using a multilayer perceptron, or a set of them, as a self-tuner for a controller. The method proposed has the advantage that it is not necessary to use a combined structure of identification and decision, common in a standard self-tuning controller. The paper explains the algorithm for a general case, and then a specific application on a nonlinear plant is presented. The plant is an overhead crane which involves an interesting control problem related to the oscillations of the load mass. The method proposed is tested by simulation in different conditions. A comparison was made with a conventional controller to evaluate the efficiency of the algorithm.     

A model for the three-dimensional reconstruction and animation of the human heart

This paper presents a strategy for the production of a computer-generated film showing the complete motion of a human heart. The model for construction and animation is discussed. The heart is decomposed into different parts; each part is considered as a subactor of the heart which is viewed as the main actor. The left ventricle simulation is emphasized, because it is based on medical measures. The atrium simulation is based on beta-spline surfaces and blood volume considerations.     

和与积数迷的符号化模型检测

和与积是一个著名的数迷问题.采用公告逻辑对该问题进行建模,将其Kripke模型符号化表示为多智能体有限状态程序,并在其上采用一种基于局部命题解释系统语义的知识逻辑符号化模型检测算法计算该问题的所有解.在时态逻辑模型检测器NuSMV基础上扩展实现了本文算法,然后在相同实验平台上用动态认知建模工具DEMO对该问题进行求解.实验表明,我们的算法不仅结果正确,而且在运行效率上与DEMO相比占有绝对优势.     

Fault tolerant control for joint structure in PEMS high speed maglev train

The PEMS high speed maglev train, which features a permanent magnet inside an electromagnet, is a new kind of maglev train for long distance intercity transportation. The joint structure, which consists of two single levitation sub‐systems, is the fundamental levitation unit. Two kinds of faults are considered and corresponding fault tolerant control strategies are proposed. The first fault condition is when a gap sensor that is part of a single levitation system is faulty. For this kind of fault, a fault tolerant control strategy based on signal reconfiguration is proposed. The second fault condition is when the whole of a single levitation sub‐system is faulty. Under this condition, a faulty model is firstly established, then a fault tolerant control strategy is designed. When this kind of fault is detected, a switch from the normal controller to the fault tolerant controller can make the faulty system stable.     

Implementation of a strain energy-based nonlinear finite element in the object-oriented environment

The objective of the paper is to describe a novel finite element computational method based on a strain energy density function and to implement it in the object-oriented environment. The original energy-based finite element was put into the known standard framework of classes and handled in a different manner. The nonlinear properties of material are defined with a modified strain energy density function. The local relaxation procedure proposed as a method used to resolve a nonlinear problem is implemented in C++ language. The hexahedral element with eight nodes as well as the adaptation of the nonlinear finite element is introduced. The chosen numerical model is made of nearly incompressible hyperelastic material. The application of the proposed element is shown on the example of a rectangular parallelepiped with a hollow port.     

Learning-based algorithms in scheduling

The aim of the paper is to present a conception of intelligent learning-based algorithms for scheduling. A general knowledge based model of a vast class of discrete deterministic processes is given. The model is a basis for the method of the synthesis of intelligent, learning-based algorithms, that is described in the paper. The designing simulation experiments that use learning is also described. To illustrate the presented ideas, the scheduling algorithm for a special NP-hard problem is given. The significant feature of the problem is that the retooling time depends not only on a pair of jobs to be processed directly one after the other, but also on the subset of jobs already performed. The proof of the NP-hardness of the problem is also given in the paper.     

Hierarchical design of an electro-hydraulic actuator based on robust LPV methods

The paper proposes a hierarchical control design of an electro-hydraulic actuator, which is used to improve the roll stability of vehicles. The purpose of the control system is to generate a reference torque, which is required by the vehicle dynamic control. The control-oriented model of the actuator is formulated in two subsystems. The high-level hydromotor is described in a linear form, while the low-level spool valve is a polynomial system. These subsystems require different control strategies. At the high level, a linear parameter-varying control is used to guarantee performance specifications. At the low level, a control Lyapunov-function-based algorithm, which creates discrete control input values of the valve, is proposed. The interaction between the two subsystems is guaranteed by the spool displacement, which is control input at the high level and must be tracked at the low-level control. The spool displacement has physical constraints, which must also be incorporated into the control design. The robust design of the high-level control incorporates the imprecision of the low-level control as an uncertainty of the system.     

Observer-based fault-tolerant control for a class of nonlinear networked control systems

This paper presents a fault-tolerant control (FTC) scheme for nonlinear systems which are connected in a networked control system. The nonlinear system is first transformed into two subsystems such that the unobservable part is affected by a fault and the observable part is unaffected. An observer is then designed which gives state estimates using a Luenberger observer and also estimates unknown parameter of the system; this helps in fault estimation. The FTC is applied in the presence of sampling due to the presence of a network in the loop. The controller gain is obtained using linear-quadratic regulator technique. The methodology is applied on a mechatronic system and the results show satisfactory performance.     

High gain observer for a class of nonlinear systems with coupled structure and sampled output measurements: application to a quadrotor

This paper proposes a new high gain observer for a class of non-uniformly observable nonlinear systems with coupled structure driven by sampled outputs. The considered class of systems is particularly constituted by several subsystems where each subsystem is associated to a subset of the output variables. The observer design is carried out through two steps. First, a high-gain observer is proposed in the continuous-time output case under the assumption that an adequate persistent excitation condition is satisfied by each subsystem. Then, the proposed observer is redesigned to handle the case of sampled outputs leading thereby to a continuous-discrete time observer. The latter property is achieved thanks to the approach pursued along the convergence analysis. The effectiveness of the proposed observer is emphasised in a realistic simulation framework involving a mathematical model of a quadrotor which is diffeomorphic to the proposed class of considered systems.