工业复杂软件系统的成长性构造框架与实现

工业领域中智能制造和智慧城市的快速发展,促使各种具有边界开放、持续演化、自适应性等特征的复杂软件系统的出现。基于还原论和单一组织的传统软件开发方法不再适合发展需求,也不能满足跨组织的社会化协作和资源共享等基本需求。本文提出一种基于容器云和跨组织资源共享的复杂软件系统成长性构造框架,通过容器技术、多租户技术、信息资源目录技术实现社会化协作开发和复杂软件系统成长性构造,并且该框架在一个工业研究案例中的应用实践证明了其在复杂软件系统的快速构建和演化方面具有重要意义。     

Cloud service: automatic construction and evolution of software process problem-solving resource space

The automatic construction of networked software and its ability to adapt to dynamic environments are important for cloud services that depend upon these capabilities. We provide a cloud service that browses the stacks of problem solution resources produced in the software process (SP for short) by organizing them into a structured Resource Space according to domain topics. Efforts are made to provide the cloud service with the ability of automatic construction of the SP problem-solving Resource Space, including extracting domain topics from document resources with the TDDF algorithm, transforming the topics into several categories to form the logic Resource Space, and deploying the Resource Space in a Peer-to-Peer (P2P for short) network. We also expect to achieve the online service evolution such as adjusting the resource pool and refining the Resource Space Model (RSM for short) by continuously understanding and adapting to its surroundings. Empirical cases are finally presented. Our investigation promotes the adaptability of cloud services to their changing environment.     

“Virtual laboratory environment” (VLE): a software environment oriented agent and object for modeling and simulation of complex systems

Our research relates to multi-agent and oriented object modeling and simulation of the complex systems. Our research interest itself more particularly with system where the spatial and temporal component make a great part of system to model (for example, ecosystems or systems of production). Within the framework of this article, we will be interested in the flexible production systems.The simulation of complex systems requires generally the integration and the coupling of heterogeneous models (multi-agent, mathematical, and so on). This heterogeneity is a consequence of the diversity of the disciplines and abilities of designers. The approach that we develop consists in the development of “virtual laboratories ”. Our platform “virtual laboratory environment” (VLE) enables us to specify, simulate and analyze spatial complex systems. VLE is based on the concepts of reactive agents, objects and spatial and temporal multi-scale systems.     

Characteristic model based adaptive controller design and analysis for a class of SISO systems一类SISO系统基于特征模型的极点配置自适应控制设计与分析

The design of an adaptive controller and stability analysis of the corresponding closed loop system are discussed for a class of SISO systems based on the characteristic model method. The obtained characteristic model is a second-order slow time-varying linear system with a compress mapping function for the system modeling error. The pole placement method is used to design the controller, and sufficient conditions for the stability of the closed loop system are obtained based on the robust control theory of slow time-varying systems with perturbations. The effectiveness of the proposed method is illustrated by two numerical examples.