Stochastic large-scale engineering systems
Author(s)
Bibliographic Information
Stochastic large-scale engineering systems
(Electrical engineering and electronics, 79)
M. Dekker, c1992
Available at 6 libraries
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  Iwate
  Miyagi
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  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
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  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
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  France
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book focuses on the class of large-scale stochastic systems, which has dominated the attention of many academic and research groups. It discusses distributed-sensor networks, decentralized detection theory, and econometric models with integrated and decentralized policymakers.
Table of Contents
1. Decentralized Bayesian Detection Theory 2. Distributed Estimation in Distributed-Sensor Networks 3. Estimation of Large Sparse Systems 4. External Input Identification in Distributed Parameter Systems Using the Boundary Element Method 5. Interaction and Structure Concepts for Large-Scale Systems 6. Practical Issues of Coordination in Control and Optimization of Large-Scale Stochastic Systems 7. Filtering, Smoothing, and Control in Discrete-Time Stochastic Distributed-Sensor Networks 8. A Weak Contrast Function Approach to Adaptive Semi-Markov Decision Models 9. Large-Scale Stochastic Control Systems: Stability and Stabilization 10. Estimation of Attractors and Invariant Domains for Perturbed Complex and Large-Scale Systems 11. Controls of Flexible Mechanical Structures 12. Adaptive Control of Econometric Models with Integrated and Decentralized Policymakers
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