本书汇集了众多长期积极致力于控制系统理论及应用研究的学者的论文。这些学者绝大部分都来自于同一所母校——拥有五十年辉煌历史的中国科学技术大学。本书的结集出版也是为了庆祝2008年中国科学技术大学五十周年华诞。
本书共分十五章，涵盖了控制系统理论及其应用的许多方面。书中控制系统理论的具体内容有：自适应控制、分岔控制、数字控制、容错控制、H-infinity控制、学习控制、神经和模糊控制、非线性控制、优化、参数估计、预测控制、鲁棒控制、随机控制、系统辨识和变结构控制；控制应用的内容：包括飞行器飞行控制、建筑物震动控制、微机控制系统、医疗机器人、投资组合管理、机器人编队控制和智能结构。
本书的各个章节技术性强，内容丰富，可作为工程、应用数学和相关学科本科生、研究生以及相关科技工作者学习和研究控制系统理论及应用的参考书。
Preface to the USTC Alumni's Series
Preface Gang Tao, Jing Sun
Chapter 1
A Sensitivity-Based View to the Stochastic Learning and Optimization
Xi-Ren Cao, Fang Cao
Chapter 2
Brief Review of Research on Robust Pole Clustering and Robust Structural Control
Sheng-Guo Wang
Chapter 3
Two Challenging Problems in Control Theory
Minyue Fu
Chapter 4
Developments in Receding Horizon Optimization-Based Controls:
Towards Real-time Implementation for Nonlinear Systems with
Fast Dynamics
Jing Sun, Reza Ghaemi, Ilya Kolmanovsky
Chapter 5
Multivariable Model Reference Adaptive Control
Gang Tao
Chapter 6
On Computer-Controlled Variable Structure Control Systems
Bin Wang, Xinghuo Yu, Xiangjun Li, Changhong Wang
Chapter 7
Multi-Robot Formation Control Based on Feedback from Onboard Sensors
Tore Gustavi, Maja Karasalo, Xiaoming Hu
Chapter 8
Semiactive Control Strategies for Vibration Reduction in Smart Structures
Ningsu Luo
Chapter 9
Identification and Control of Nonlinear Dynamic Systems via a Constrained Input-Output Neurofuzzy Network
Marcos Gonzgez-Olvera, Yu Tang
Chapter 10
Decomposition-Based Robot Control
Guangjun Liu
Chapter 11
From Adaptive Observers to Decoupled State and Parameter Estimations
Qinghua Zhang
Chapter 12
Reduced-Order Controllers for the H∞ Control Problem with Unstable Invariant Zeros or Infinite Zeros
Xin Xin
Chapter 13
Recent Advances in Bifurcation Control
Hua O. Wang
Chapter 14
Intelligent Medical Robot Application —— Tele-Neurosurgical Robot Case Study
Weimin Shen, Jason Gu, Yanjun Shen
Chapter 15
Applications of Stochastic Control Theory in Portfolio Management
Tao Pang
插图：
It is now established that structural control is an important issue ondesigning new structures and retrofitting structures for earthquakes and winds[1]. Structural control had its roots primarily in such aerospace related problems and in flexible space structures. Then, it was moved quickly into civilengineering and infrastructurerelated issues, such as building and bridge protection against extreme loads such as earthquakes and providing human comfort in the structure during noncritical times [2]. Structural control involvesnowadays the integration of diverse disciplines such as computer science, dataprocessing, control theory, material science, sensing technology, stochastic processes, system dynamics, mechanics, etc, focused to engineering areas as mechanical, civil, naval, aerospace, etc. Researchers have developed structuralcontrol systems since approximately 100 years ago when John Milne, professor of engineering in Japan, built a small house of wood and placed it on ballbearings to demonstrate that a structure could be isolated from earthquakeshaking. However, only laboratory level applications were reached out. In the1960s, the concept of passive control was applied to buildings and bridges inthe form of base isolation schemes. Concepts such as active and semiactivecontrol are not more than 30 years old in structural control [3]. In this sense,the structural control Can be considered as relatively new in the control fieldand several limitations have been present during the development of controlmethodology and its application. This research will focus on control theory issues outlining some of the most relevant methods adopted to cope with specificfeatures of vibration control for smart structures.
装 帧：平装
页 数：365
版 次：1版
开 本：16开
正文语种：英语
您现在的位置：
