Computational intelligence in systems and control design and applications
著者
書誌事項
Computational intelligence in systems and control design and applications
(International series on microprocessor-based and intelligent systems engineering, v. 22)
Kluwer Academic, c1999
- : hard
大学図書館所蔵 全9件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
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  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
The field of computational intelligence (CI) has expanded rapidly during recent years with a large and still increasing range of applications. This book contains a cohesive set of thirty contributions that cover a wide, well-selected range of topics. The book is organized in the following five parts: * Part I: Neural network-based intelligent estimation and control * Part II: Fuzzy logic-based intelligent estimation and control * Part III: Genetic algorithm-based system analysis and design * Part IV: Hybrid intelligent techniques in system analysis and control * Part V: Computational intelligence in engineering applications Parts I-IV include general overviews, new techniques and practical CI algorithms for system analysis, identification, optimization and control, and Part V contains nine important applications of CI dealing with robot control, collision avoidance of dangerous ships, automated visual inspection, control of fed-batch bioprocesses, identification of naval turbochargers, semi-active suspension design of ground vehicles, ecological populations' modeling, vehicle navigation, state estimation of electric power systems, and multi-robot cooperative control.
The book can be used as a reference volume by researchers and practitioners in the field, and as a rich unified information source by teachers and students in related postgraduate programs, thus saving considerable time in searching the scattered literature in the field.
目次
- Preface. Contributors. Part I: Neural Network-Based Intelligent Estimation and Control. 1. Intelligent Forecasting and Fault Diagnosis Using Neural Estimators
- E.S. Tzafestas, S.G. Tzafestas. 2. Parameter Identification of Dynamical Systems Using Neural Networks
- N. Yadaiah, et al. 3. Recent Developments in Neural Network PID Autotuning
- A.E.B. Ruano. 4. Adaptive Self-Tuning Neural-Network-Based Controller
- P. Potocnik, I. Grabec. 5. Neuro-Control for Multivariable Systems
- S. Omatu, M. Yoshioka. Part II: Fussy Logic-Based Intelligent Estimation and Control. 6. Orthogonal Least Squares Based Fuzzy Model For Short Term Load Forecasting
- P.A. Mastorokostas, et al. 7. An Unsupervised Fussy Classification Algorithm for Non Elliptic Classes
- P. Billaudel, et al. 8. Necessary and Sufficient Conditions for Stability of Dynamic Fuzzy Systems
- F. Matia, et al. 9. Fuzzy Behavior-Based Control with Local Learning
- K. Izumi, K. Watanabe. 10. A Stable and Robust Fuzzy Controller for the Position Control of Robots
- Z. Doulgeri, D. Biskas. 11. Stability Analysis and Fuzzy Self-Tuning Control of a Nonlinear Process with Limit Points
- D.I. Sagias, et al. Part III: Genetic Algorithm-Based System Analysis and Design. 12. Application of the Genetic Algorithm (Approach) to a Cellular Dynamic Channel Allocation Model
- H.G. Sandalidis, et al. 13. Applying Genetic Algorithms to Workshop Cell Decomposition
- P. De Lit, et al. 14. A Genetic Algorithm for Efficient Video Content Representation
- A.D. Doulamis, et al. 15. Fast Synthetic Genetic Algorithm Combined with BP -- Application to Short-Term Economic Dispatch of Hydrothermal Power Systems
- X. Meng, et al. 16. Parallel Platform Design and Kinematics Analysis Using Evolution Strategy Via Regeneration
- A.E. Kanarachos, K.S. Roussis. Part IV: Hybrid Intelligent Techniques in System Analysis and Control. 17. A Hybrid Neural-Classical Structure for the Modelling of a Bioprocess
- A. Hanomolo, et al. 18. Estimation of State Variable in Power System Combining Theoretical Knowledge with Neural Network
- T. Atanasova, et al. 19. Route Selection in a Neuro-Fuzzy Vehicle Navigation System
- G.K.H. Pang. 20. Hierarchical Position Control Using Fuzzy Logic: Opportunities and Limitations
- A. Zilouchian, et al. 21. Impedance Control for Multi-DOF Manipulator by Learning Environment Models
- F. Nagata, et al. Part V: Computational Intelligence in Engineering Applications. 22. Engineering Applications of N-Step Ahead Neurocontrol
- A. Hountras, et al. 23. Neural Classification of Dangerous Ships in Collision Situations
- J. Lisowski, et al. 24. Neural Computing in Fabrics Inspection System
- H. Liu, et al. 25. Control of a Fed-Batch Bioprocess by Using Neural Network Observers
- Y.S. Boutalis, O.I. Kosmidou. 26. Neural Networks for the Model Identification of the Naval Turbochargers
- N.G. Pentelelis, et al. 27. An Optimum Suspension System for Vehicles Using Fuzzy Reasoning
- A. Kanarachos, et al. 28. Fuzzy Markov Systems for the Description of Population Dynamics
- M.A. Symeonaki, et al. 29. Concerning Hopfield Networks: An Overview with Application to System Identification and Control
- S.G. Tzafestas, D. Vogiatzis. 30. Cooperative Control Using Multiple Manipulators with different Command Inputs
- K. Izumi, et al. Index.
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