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词条 复杂系统暨鲁棒控制的理论和应用
释义

图书信息

出版社: 清华大学出版社; 第1版 (2010年8月1日)

外文书名: Theory and Applications of Complex Systems and Robust Control

精装: 285页

正文语种: 英语

开本: 16

ISBN: 9787302234869, 7302234868

条形码: 9787302234869

尺寸: 24.2 x 17.2 x 2.2 cm

重量: 640 g

作者简介

作者:黄杰 刘康志 (日本)太田快人

内容简介

《复杂系统暨鲁棒控制的理论和应用》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.

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. 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 controlneo-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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