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Controller Design and Verification Using Qualitative and Semi-Quantitative Reasoning

Controller Design and Verification Using Qualitative and Semi-Quantitative Reasoning
使用定性和半定量推理进行控制器设计和验证
批准号:
9216714
负责人:
Lyle Ungar
金额:
$8.4万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-04-01 至 1996-09-30

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中文摘要
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英文摘要
This research will focus on developing a methodology and a software tool for the design and verification of heterogeneous controllers composed of multiple simple controllers. The component controllers may operate either on different operations regions or on different time scales. The design tool will use qualitative and semiquantitative simulations of the plants and controllers as produced by the QSIM and NSIM simulators to map out possible behaviors, thus producing automatic stability proofs. (Qualitative models specify monotonic relationships between variables, while semiquantitative models specify envelopes which bound the function relating the variables.) Models of faults and disturbances will be used to test the robustness of proposed controllers, and either prove their stability or suggest modifications to the control law. This is a collaborative project with Prof. Benjamin Kuipers, Department of Computer Sciences, University of Texas at Austin, Austin, Texas. //
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Automatic Modeling using Chemical Plant Data
  • 批准号:
    9632992
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.83万
  • 财政年份:
    1996
  • 负责人:
    Lyle Ungar
  • 依托单位:
Mathematical Sciences: Support for the 45th Annual Gordon Research Conference on Statistics in Chemistry and Chemical Engineering; August 25-30, 1996; Oxford, England
  • 批准号:
    9632955
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
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    1996
  • 负责人:
    Lyle Ungar
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Maximum Likelihood Estimation of Radial Basis Function Neural Networks for Process Control
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  • 财政年份:
    1995
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    Lyle Ungar
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Neural Computation in Bio-Control
  • 批准号:
    9109246
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.03万
  • 财政年份:
    1991
  • 负责人:
    Lyle Ungar
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