Model-based computing for design and control of reconfigurable systems

被引:0
|
作者
Fromherz, MPJ [1 ]
Bobrow, DG
de Kleer, J
机构
[1] Palo Alto Res Ctr, Syst & Practices Lab, Palo Alto, CA USA
[2] Palo Alto Res Ctr, Sci & Engn Reasoning Area, Palo Alto, CA USA
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Complex electro-mechanical products, such as high-end printers and photocopiers, are designed as families, with reusable modules put together in different manufacturable configurations, and the ability to add new modules in the field. The modules are controlled locally by software that must take into account the entire configuration. This poses two problems for the manufacturer. The first is how to make the overall control architecture adapt to, and use productively, the inclusion of particular modules. The second is to decide, at design time, whether a proposed module is a worthwhile addition to the system: will the resulting system perform enough better to outweigh the costs of including the module? This article indicates how the use of qualitative, constraint-based models provides support for solving both of these problems. This has become an accepted part of the practice of Xerox, and the control software is deployed in high-end Xerox printers.
引用
收藏
页码:120 / 130
页数:11
相关论文
共 50 条
  • [1] Model-based control for reconfigurable manufacturing systems
    Ohashi, K
    Shin, KG
    2001 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2001, : 553 - 558
  • [2] A multiple model-based reconfigurable flight control system design
    Boskovic, JD
    Mehra, RK
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 4503 - 4508
  • [3] Multiple model-based adaptive reconfigurable formation flight control design
    Boskovic, JD
    Mehra, RK
    PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 2002, : 1263 - 1268
  • [4] Model-based Cybersecurity for Control Systems: Modeling, Design and Control
    Sawada, Kenji
    2017 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2017, : 724 - 727
  • [5] Petri Nets based Design for Reconfigurable Computing Systems
    Guo, Jun
    Zhang, Weiwei
    Fan, Xunli
    Wang, Lei
    2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2014, : 1094 - 1098
  • [6] MODEL-BASED HIERARCHICAL OPTIMAL CONTROL DESIGN FOR HVAC SYSTEMS
    Maasoumy, Mehdi
    Pinto, Alessandro
    Sangiovanni-Vincentelli, Alberto
    PROCEEDINGS OF THE ASME DYNAMIC SYSTEMS AND CONTROL CONFERENCE AND BATH/ASME SYMPOSIUM ON FLUID POWER AND MOTION CONTROL (DSCC 2011), VOL 1, 2012, : 271 - 278
  • [7] A Toolchain for Model-based Design and Testing of Access Control Systems
    Daoudagh, Said
    El Kateb, Donia
    Lonetti, Francesca
    Marchetti, Eda
    Mouelhi, Tejeddine
    MODELSWARD 2015 PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MODEL-DRIVEN ENGINEERING AND SOFTWARE DEVELOPMENT, 2015, : 411 - 418
  • [8] A survey on analysis and design of model-based fuzzy control systems
    Feng, Gang
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (05) : 676 - 697
  • [9] Towards a Model-Based Approach for Reconfigurable DRE Systems
    Krichen, Fatma
    Hamid, Brahim
    Zalila, Bechir
    Jmaiel, Mohamed
    SOFTWARE ARCHITECTURE, 2011, 6903 : 295 - +
  • [10] Soft computing in model-based predictive control
    Tatjewski, Piotr
    Lawryńczuk, Maciej
    International Journal of Applied Mathematics and Computer Science, 2006, 16 (01) : 7 - 26