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复杂系统暨鲁棒控制的理论和应用(Theory and Applications of Complex Systems and Robust Control)

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复杂系统暨鲁棒控制的理论和应用(Theory and Applications of Complex Systems and Robust Control)

最 低 价:¥56.60

定 价:¥78.00

作 者:黄杰,刘康志,(日)太田快人 编著

出 版 社:清华大学出版社

出版时间:2010-8-1

I S B N:9787302234869

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内容简介

  the japan-china joint workshop on control was initiated in the august of 2004. the first and second joint workshops were held in beijing and harbin of china, respectively. the third joint workshop moved to japan and was held on the 18th of august, 2009 in fukuoka international conference center, as a part of sice annual conference of 2009. the third joint workshop was co-sponsored by the control division of society of instrument and control engineers, japan (sice) and the technical committee on control theory of chinese association of automation, china (caa).
   this joint workshop provides a forum for the scientists and engineers from both japan and china, who are active in the field of control engineering, to present their most recent research outcomes and to exchange as well as to share their visions, ideas on control engineering. the focus of the third joint workshop is on complex systems and robust control. we are privileged that many world famous scholars from both sides took part in this workshop and delivered four keynote speeches. after a full day active discussion, all participants felt that the presentations in the workshop were both interesting and inspiring. the publication of a book of selected papers from this joint workshop will undoubtedly contribute to the control community of the world. so, the steering committee decided to publish this book.
   this book is organized as two parts: one on complex systems and another on robust control.

作者简介

目录

part i theory and applications of complex systems
 towards a common principle of biological control -- how control weaves the string of life
  hidenori kimural, shingo shimoda1, lu gaohuai and reiko j. tanaka2
 target localization and tracking with motion sensors
  daizhan chengx, bijoy k. ghosh2 and xiaoming hus
 network failure locating via end-to-end verification
  daizhan cheng1 and yutaka takahashi2
 an algebraic solution method of the hamilton-jacobi equation
  toshiyuki ohtsuka
 stochastic optimal control for a class of manufacturing systems based on event-based optimization
  yanjia zhao, qianchuan zhao and xiaohong guan
 computing frequency response gain of controlled spatio-temporal systems
  hisaya fujioka
 stability analysis of adrc for nonlinear systems with unknown dynamics and disturbances
  wenchao xue and yi huang
 nonlinear output feedback control for saturated systems and its application
  daisuke akasaka and kang-zhi liu
 estimation of liss properties via a quadratic form liss-lyapunov function
  shengyu wu and shengwei mei
 torque balancing for multi-cylinder si engines and its experimental validation
  po li and tielong shen
 experimental validation of robustness of individual air-fuel ratio control algorithms
  yinhua liu1, tielong shen1, di lu2, kenji suzuki3 and kota sara3
 on energy-based control for underactuated mechanical systems
  xin xin
 passivity based bilateral control for double-screw-drive forceps teleoperation system with constant time delay
  chiharu ishiil, kosuke kobayashi2, yusuke kamei3, yosuke nishitani4 and hiroshi hashimoto5
 identification of respiratory system considering hysteresis of pulmonary elastance
  shunshoku kanae1, zi-jiang yang2 and kiyoshi wada3
part ii theory and applications of robust control
 neo-robust control theory -- beyond the small-gain and passivity paradigms
  kang-zhi liu
 robust output feedback control of hagc system in gold strip mill with delayed measurement
  xin li, xiaohong jiao and xiaofei liu
 a robust adaptive ha control method for robot manipulators with input nonlinearities
  kazuya sato1, takanori nakashima1 and kazuhiro tsuruta2
 delay-dependent robust stability criteria for systems with interval time-varying delay
  tao zhang and guokai xu
 output feedback h∞ control combining moving horizon scheme for active suspension based on lmi
  juan wang and haiying du

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