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二型模糊逻辑--非确定系统建模与控制(英文版)(精)

  • 定价: ¥79
  • ISBN:9787040478099
  • 开 本:16开 精装
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  • 折扣:
  • 出版社:高等教育
  • 页数:130页
  • 作者:(葡)安塔奥|总主...
  • 立即节省:
  • 2017-09-01 第1版
  • 2017-09-01 第1次印刷
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导语

  

内容提要

  

    安塔奥著的《二型模糊逻辑--非确定系统建模与控制(英文版)(精)》重点论述与过程建模和控制应用相关的二型模糊逻辑,包括利用简单的方法训练二型Takagi-Sugeno模型,利用二型模糊逻辑原理减少建模上的局部线性化N步超前预测的不确定性影响;以及利用二型模糊集并根据广义预测控制原则来开发基于模型的控制算法。
    本书强调理论与应用的相辅相承,读者可以利用书中提供的算法实践其应用。对智能系统、规则系统和模型的不确定性感兴趣的计算科学领域研究者和工程师,本书将提供非常有价值的参考。

目录

1  Introduction
  1.1  Book Outline
  References
2  Fuzzy Logic Systems
  2.1  Introduction
  2.2  Type-1 Fuzzy Sets
  2.3  Type-1 Fuzzy Logic Systems
    2.3.1  Fuzzifier
    2.3.2  Rule-Base
    2.3.3  Inference Engine
    2.3.4  Output Processor
    2.3.5  Considerations About Type-1 Fuzzy Logic Systems
  2.4  Type-2 Fuzzy Sets
  2.5  Type-2 Fuzzy Logic Systems
    2.5.1  Fuzzifier
    2.5.2  Rule-Base
    2.5.3  Inference Engine
    2.5.4  Type-Reduction
    2.5.5  Defuzzifier
  2.6  Comparative Analysis
  2.7  Conclusions
  References
3  Takagi-Sugeno Fuzzy Logic Systems
  3.1  Introduction
  3.2  Type-1 Takagi-Sugeno Fuzzy Logic Systems
  3.3  Type-2 Takagi-Sugeno Fuzzy Logic Systems
    3.3.1  A2-C1 Structure
    3.3.2  A2-C0 Structure
    3.3.3  A1-C1 Structure
  3.4  ANFIS Based on Type-2 TS Fuzzy Logic Systems
  3.5  Training Algorithms for TS Fuzzy Systems
    3.5.1  Model Initialization
    3.5.2  Training of the Antecedent Part of the Rule Base
    3.5.3  Training of the Consequent Part of the Rule Base
  3.6  Conclusions
  References
4  System Modeling Using Type-2 Takagi-Sugeno Fuzzy Systems
  4.1  Introduction
  4.2  Locally Linear Models Based on Type-2 TS Fuzzy Logic Systems
    4.2.1  Development of the Interpolated Interval Type-2 Fuzzy Model
    4.2.2  Development of the n-step Ahead Predictor
  4.3  Application Scenarios
    4.3.1  Fermentation Reactor Modeling
    4.3.2  Coupled Tanks Modeling
  4.4  Conclusions
  References
5  Model Predictive Control Using Type-2 Takagi-Sugeno Fuzzy Systems
  5.1  Introduction
  5.2  Generalized Predictive Control
  5.3  Derivation of a n-step Ahead Predictor
  5.4  Extension of Generalized Predictive Control to Non-linear Models
    5.4.1  Generalized Predictive Control Using Type-2 TS Fuzzy Models
  5.5  Application Scenarios
    5.5.1  Fermentation Reactor's Temperature Control
    5.5.2  Coupled Tanks Liquid Level Control
  5.6  Conclusions
  References
6  Processor-In-the-Loop Simulation
  6.1  Introduction
  6.2  PIL Architecture
    6.2.1  Development Board
    6.2.2  Embedded System's Software Architecture
  6.3  System Evaluation
  6.4  Conclusions
  References
7  Conclusions
Appendix