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復(fù)雜網(wǎng)絡(luò)化系統(tǒng)的牽制控制(英文版)

復(fù)雜網(wǎng)絡(luò)化系統(tǒng)的牽制控制(英文版)

定 價(jià):¥88.00

作 者: 蘇厚勝,汪小帆
出版社: 上海交通大學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 暫缺

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ISBN: 9787313090225 出版時(shí)間: 2014-12-01 包裝:
開(kāi)本: 16開(kāi) 頁(yè)數(shù): 163 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  《復(fù)雜網(wǎng)絡(luò)化系統(tǒng)的牽制控制 英文版(精)》所闡述的課題屬于控制科學(xué)國(guó)際前沿課題,是國(guó)際上第一本基于牽制控制策略研究復(fù)雜網(wǎng)絡(luò)系統(tǒng)控制的專(zhuān)著。主要研究了復(fù)雜動(dòng)態(tài)網(wǎng)絡(luò)的同步問(wèn)題、牽制控制策略在多自主體系統(tǒng)的一致性控制中的應(yīng)用以及具有虛擬領(lǐng)導(dǎo)者和具有保持網(wǎng)絡(luò)聯(lián)通性的蜂擁控制問(wèn)題,通過(guò)理論和仿真證明了牽制控制策略在蜂擁控制中的有效性,為這些控制算法更好地符合工程實(shí)際提供了理論和方法上的指導(dǎo)。本書(shū)通過(guò)對(duì)該領(lǐng)域高水平創(chuàng)新性成果的系統(tǒng)總結(jié)與深化,將對(duì)網(wǎng)絡(luò)系統(tǒng)協(xié)調(diào)控制領(lǐng)域產(chǎn)生積極影響。本書(shū)的讀者包括網(wǎng)絡(luò)系統(tǒng)協(xié)調(diào)控制領(lǐng)域前沿的科研人員和碩博士生。

作者簡(jiǎn)介

暫缺《復(fù)雜網(wǎng)絡(luò)化系統(tǒng)的牽制控制(英文版)》作者簡(jiǎn)介

圖書(shū)目錄

Chapter 1   Overview
1.1  Introduction
1.2  Synchronization of Complex Dynamical Networks via Pinning
1.2.1  Stability Conditions for Complete Synchronization
1.2.2  Stability Conditions for Cluster Synchronization
1.2.3  Selective Strategies of Pinning Control
1.2.4  Controllable Regions
1.2.5  Control Methodologies
1.3  Consensus and Flocking of Multi-Agent Systems via Pinning
1.3.1  Single Virtual Leader Case
1.3.2  Multiple Virtual Leaders Case
1.3.3  Connectivity Maintenance
1.4  Conclusions and Notes
References
Chapter 2   Pinning Control for Complete Synchronization of Complex Dynamical Networks
2.1  Complex Network Models
2.1.1  ER Random Network Model
2.1.2  BA Scale-Free Network Model
2.1.3  A Directed Scale-Free Network Model
2.2  Stability Conditions for Complete Synchronization of Complex Dynamical Networks
2.2.1  Global Stability Conditions
2.2.2  Local Stability Conditions
2.3  Virtual Control of Pinned Complex Dynamical Networks
2.4  Selective Strategies of Pinning Control
2.4.1  Pinning Control Based on Node-Degree
2.4.2  Pinning Control Based on ControlRank
2.5  Conclusions and Notes
References
Chapter 3   Pinning Control for Cluster Synchronization of Complex Dynamical Networks
3.1  Problem Statement
3.2  Decentralized Adaptive Pinning Control Scheme
3.2.1  Algorithm Description
3.2.2  Main Results and Theoretical Analysis
3.2.3  Complete Synchronization Case
3.3  Simulation Study
3.3.1  Example 1: Three Clusters
3.3.2  Example 2: One Cluster
3.4  Conclusions and Notes
References
Chapter 4   Distributed Pinning-Controlled Second-Order Consensus of Multi-Agent Systems
4.1  Consensus Without Connectivity Assumptions
4.1.1  Problem Statement
4.1.2  Consensus Without a Leader
4.1.3  Consensus with a Leader
4.1.4  Simulation Study
4.2  Consensus with Preserved Network Connectivity
4.2.1  Problem Statement
4.2.2  Algorithm Design and Main Results
4.2.3  Consensus with a Virtual Leader
4.2.4  Simulation Study
4.3  Adaptive Consensus of Networked Mobile Agents with Nonlinear Dynamics
4.3.1  Problem Statement
4.3.2  Main Results
4.3.3  Simulation Study
4.4  Conclusions and Notes
References
Chapter 5   Distributed Pinning-Controlled Consensus in a Heterogeneous Influence Network
5.1  Backgrounds and Problem Statement
5.2  Consensus in a Heterogeneous Influence Network
5.3  Pinning Controlled Consensus in a Heterogeneous Influence Network
5.4  Conclusions and Notes
References
Chapter 6   Distributed Pinning-Controlled Flocking with a Virtual Leader
6.1  Introduction
6.2  Backgrounds and Problem Statement
6.3  Flocking with a Fraction of Informed Agents
6.3.1  Algorithm Description and Main Results
6.3.2  Cohesive Analysis
6.3.3  Velocity Matching Analysis
6.3.4  Collision Avoidance Analysis
6.4  Flocking with a Virtual Leader of Varying Velocity
6.4.1  Algorithm Description and Main Result
6.4.2  Theoretical Analysis
6.5  Simulation Study
6.5.1  Flocking with a Fraction of Informed Agents
6.5.2  Flocking with a Virtual Leader of Varying Velocity
6.5.3  Flocking with a Fraction of Informed Agents and a Virtual Leader of Varying Velocity
6.6  Conclusions and Notes
References
Chapter 7   Distributed Pinning-Controlled Flocking with Preserved Network Connectivity
7.1  Flocking Based only on Position Measurements
7.1.1  Background and Problem Statement
7.1.2  Fundamental Flocking Algorithm
7.1.3  Flocking with a Virtual Leader
7.1.4  Simulation Study
7.2  Adaptive Flocking of Multiple Agents Governed by Nonlinear Dynamics
7.2.1  Preliminaries and Problem Statement
7.2.2  Main Results
7.2.3  Simulation Study
7.3  Conclusions and Notes
References
Index

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