复杂网络化系统的牵制控制

本书所阐述的课题属于控制科学靠前前沿课题，是靠前上靠前本基于牵制控制策略研究复杂网络系统控制的专著。主要研究了复杂动态网络的同步问题、牵制控制策略在多自主体系统的一致性控制中的应用以及具有虚拟优选者和具有保持网络联通性的蜂拥控制问题，通过理论和仿真证明了牵制控制策略在蜂拥控制中的有效性，为这些控制算法更好地符合工程实际提供了理论和方法上的指导。本书通过对该领域高水平创新性成果的系统总结与深化，将对网络系统协调控制领域产生积极影响。本书的读者包括网络系统协调控制领域前沿的科研人员和硕博士生。

Chapter1Overview
1.1Introduction
1.2SynchronizationofComplexDynamicalNetworksviaPinning
1.2.1StabilityConditionsforCompleteSynchronization
1.2.2StabilityConditionsforClusterSynchronization
1.2.3SelectiveStrategiesofPinningControl
1.2.4ControllableRegions
1.2.5ControlMethodologies
1.3ConsensusandFlockingofMulti-AgentSystemsviaPinning
1.3.1SingleVirtualLeaderCase
1.3.2MultipleVirtualLeadersCase
1.3.3ConnectivityMaintenance
1.4ConclusionsandNotes
References
Chapter2PinningControlforCompleteSynchronizationofComplexDynamicalNetworks
2.1ComplexNetworkModels
2.1.1ERRandomNetworkModel
2.1.2BAScale-FreeNetworkModel
2.1.3ADirectedScale-FreeNetworkModel
2.2StabilityConditionsforCompleteSynchronizationofComplexDynamicalNetworks
2.2.1GlobalStabilityConditions
2.2.2LocalStabilityConditions
2.3VirtualControlofPinnedComplexDynamicalNetworks
2.4SelectiveStrategiesofPinningControl
2.4.1PinningControlBasedonNode-Degree
2.4.2PinningControlBasedonControlRank
2.5ConclusionsandNotes
References
Chapter3PinningControlforClusterSynchronizationofComplexDynamicalNetworks
3.1ProblemStatement
3.2DecentralizedAdaptivePinningControlScheme
3.2.1AlgorithmDescription
3.2.2MainResultsandTheoreticalAnalysis
3.2.3CompleteSynchronizationCase
3.3SimulationStudy
3.3.1Example1:ThreeClusters
3.3.2Example2:OneCluster
3.4ConclusionsandNotes
References
Chapter4DistributedPinning-ControlledSecond-OrderConsensusofMulti-AgentSystems
4.1ConsensusWithoutConnectivityAssumptions
4.1.1ProblemStatement
4.1.2ConsensusWithoutaLeader
4.1.3ConsensuswithaLeader
4.1.4SimulationStudy
4.2ConsensuswithPreservedNetworkConnectivity
4.2.1ProblemStatement
4.2.2AlgorithmDesignandMainResults
4.2.3ConsensuswithaVirtualLeader
4.2.4SimulationStudy
4.3AdaptiveConsensusofNetworkedMobileAgentswithNonlinearDynamics
4.3.1ProblemStatement
4.3.2MainResults
4.3.3SimulationStudy
4.4ConclusionsandNotes
References
Chapter5DistributedPinning-ControlledConsensusinaHeterogeneousInfluenceNetwork
5.1BackgroundsandProblemStatement
5.2ConsensusinaHeterogeneousInfluenceNetwork
5.3PinningControlledConsensusinaHeterogeneousInfluenceNetwork
5.4ConclusionsandNotes
References
Chapter6DistributedPinning-ControlledFlockingwithaVirtualLeader
6.1Introduction
6.2BackgroundsandProblemStatement
6.3FlockingwithaFractionofInformedAgents
6.3.1AlgorithmDescriptionandMainResults
6.3.2CohesiveAnalysis
6.3.3VelocityMatchingAnalysis
6.3.4CollisionAvoidanceAnalysis
6.4FlockingwithaVirtualLeaderofVaryingVelocity
6.4.1AlgorithmDescriptionandMainResult
6.4.2TheoreticalAnalysis
6.5SimulationStudy
6.5.1FlockingwithaFractionofInformedAgents
6.5.2FlockingwithaVirtualLeaderofVaryingVelocity
6.5.3FlockingwithaFractionofInformedAgentsandaVirtualLeaderofVaryingVelocity
6.6ConclusionsandNotes
References
Chapter7DistributedPinning-ControlledFlockingwithPreservedNetworkConnectivity
7.1FlockingBasedonlyonPositionMeasurements
7.1.1BackgroundandProblemStatement
7.1.2FundamentalFlockingAlgorithm
7.1.3FlockingwithaVirtualLeader
7.1.4SimulationStudy
7.2AdaptiveFlockingofMultipleAgentsGovernedbyNonlinearDynamics
7.2.1PreliminariesandProblemStatement
7.2.2MainResults
7.2.3SimulationStudy
7.3ConclusionsandNotes
References
Index