Preface |
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ix | |
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1 | (10) |
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1 | (5) |
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1.1.1 Networked Multi-agent Systems |
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1 | (1) |
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1.1.2 Collective Behaviors and Cooperative Control in Multi-agent Systems |
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2 | (2) |
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1.1.3 Network Control in Multi-agent Systems |
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4 | (1) |
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1.1.4 Distributed Consensus Filtering in Sensor Networks |
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5 | (1) |
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6 | (5) |
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2 Consensus in Multi-agent Systems |
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11 | (20) |
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2.1 Consensus in Linear Multi-agent Systems |
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11 | (4) |
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11 | (2) |
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2.1.2 Model Formulation and Results |
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13 | (2) |
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2.2 Consensus in Nonlinear Multi-agent Systems |
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15 | (15) |
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2.2.7 Preliminaries and Model Formulation |
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15 | (1) |
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2.2.2 Local Consensus of Multi-agent Systems |
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16 | (3) |
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2.2.3 Global Consensus of Multi-agent Systems in General Networks |
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19 | (7) |
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2.2.4 Global Consensus of Multi-agent Systems in Virtual Networks |
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26 | (3) |
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2.2.5 Simulation Examples |
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29 | (1) |
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30 | (1) |
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3 Second-Order Consensus in Multi-agent Systems |
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31 | (25) |
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3.1 Second-Order Consensus in Linear Multi-agent Systems |
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32 | (10) |
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32 | (1) |
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3.1.2 Second-Order Consensus in Directed Networks |
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33 | (4) |
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3.1.3 Second-Order Consensus in Delayed Directed Networks |
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37 | (4) |
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3.1.4 Simulation Examples |
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41 | (1) |
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3.2 Second-Order Consensus in Nonlinear Multi-agent Systems |
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42 | (12) |
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42 | (3) |
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3.2.2 Second-Order Consensus in Strongly Connected Networks |
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45 | (5) |
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3.2.3 Second-Order Consensus in Rooted Networks |
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50 | (3) |
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3.2.4 Simulation Examples |
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53 | (1) |
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54 | (2) |
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4 Higher-Order Consensus in Multi-agent Systems |
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56 | (17) |
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56 | (2) |
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4.2 Higher-Order Consensus in a General Form |
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58 | (6) |
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4.2.1 Synchronization in Complex Networks |
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58 | (1) |
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4.2.2 Higher-Order Consensus in a General Form |
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59 | (1) |
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4.2.3 Consensus Region in Higher-Order Consensus |
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60 | (4) |
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4.3 Leader-Follower Control in Multi-agent Systems |
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64 | (5) |
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4.3.1 Leader-Follower Control in Multi-agent Systems with Full-State Feedback |
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65 | (2) |
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4.3.2 Leader-Follower Control with Observers |
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67 | (2) |
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69 | (2) |
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69 | (1) |
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4.4.2 Leader-Follower Control with Full-State Feedback |
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70 | (1) |
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4.4.3 Leader-Follower Control with Observers |
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70 | (1) |
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71 | (2) |
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5 Stability Analysis of Swarming Behaviors |
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73 | (23) |
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73 | (3) |
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5.2 Analysis of Swarm Cohesion |
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76 | (4) |
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5.3 Swarm Cohesion in a Noisy Environment |
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80 | (2) |
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5.4 Cohesion in Swarms with Switched Topologies |
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82 | (2) |
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5.5 Cohesion in Swarms with Changing Topologies |
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84 | (9) |
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93 | (2) |
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95 | (1) |
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6 Distributed Leader-Follower Flocking Control |
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96 | (19) |
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96 | (7) |
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97 | (2) |
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99 | (4) |
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6.2 Distributed Leader-Follower Control with Pinning Observers |
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103 | (7) |
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110 | (4) |
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114 | (1) |
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7 Consensus of Multi-agent Systems with Sampled Data Information |
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115 | (44) |
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116 | (1) |
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7.2 Second-Order Consensus of Multi-agent Systems with Sampled Full Information |
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117 | (15) |
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7.2.1 Second-Order Consensus of Multi-agent Systems with Sampled Full Information |
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119 | (3) |
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7.2.2 Selection of Sampling Periods |
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122 | (1) |
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7.2.3 Design of Coupling Gains |
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123 | (2) |
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7.2.4 Consensus Region for the Network Spectrum |
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125 | (1) |
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7.2.5 Second-Order Consensus in Delayed Undirected Networks with Sampled Position and Velocity Data |
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125 | (3) |
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7.2.6 Simulation Examples |
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128 | (4) |
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7.3 Second-Order Consensus of Multi-agent Systems with Sampled Position Information |
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132 | (10) |
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7.3.1 Second-Order Consensus in Multi-agent Dynamical Systems with Sampled Position Data |
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132 | (7) |
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7.3.2 Simulation Examples |
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139 | (3) |
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7.4 Consensus of Multi-agent Systems with Nonlinear Dynamics and Sampled Information |
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142 | (16) |
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7.4.1 The Case with a Fixed and Strongly Connected Topology |
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145 | (4) |
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7.4.2 The Case with Topology Containing a Directed Spanning Tree |
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149 | (6) |
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7.4.3 The Case with Topology Having no Directed Spanning Tree |
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155 | (3) |
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158 | (1) |
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8 Consensus of Second-Order Multi-agent Systems with Intermittent Communication |
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159 | (15) |
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159 | (2) |
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8.2 The Case with a Strongly Connected Topology |
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161 | (4) |
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8.3 The Case with a Topology Having a Directed Spanning Tree |
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165 | (2) |
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8.4 Consensus of Second-Order Multi-agent Systems with Nonlinear Dynamics and Intermittent Communication |
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167 | (5) |
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172 | (2) |
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9 Distributed Adaptive Control of Multi-agent Systems |
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174 | (24) |
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9.1 Distributed Adaptive Control in Complex Networks |
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175 | (8) |
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175 | (1) |
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9.7.2 Distributed Adaptive Control in Complex Networks |
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176 | (2) |
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9.1.3 Pinning Edges Control |
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178 | (3) |
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9.7.4 Simulation Examples |
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181 | (2) |
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9.2 Distributed Control Gains Design for Second-Order Consensus in Nonlinear Multi-agent Systems |
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183 | (13) |
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184 | (2) |
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9.2.2 Distributed Control Gains Design: Leaderless Case |
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186 | (4) |
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9.2.3 Distributed Control Gains Design: Leader-Follower Case |
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190 | (4) |
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9.2.4 Simulation Examples |
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194 | (2) |
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196 | (2) |
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10 Distributed Consensus Filtering in Sensor Networks |
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198 | (16) |
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199 | (2) |
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10.2 Distributed Consensus Filters Design for Sensor Networks with Fully-Pinned Controllers |
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201 | (4) |
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10.3 Distributed Consensus Filters Design for Sensor Networks with Pinning Controllers |
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205 | (2) |
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10.4 Distributed Consensus Filters Design for Sensor Networks with Pinning Observers |
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207 | (3) |
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210 | (3) |
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213 | (1) |
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11 Delay-Induced Consensus and Quasi-Consensus in Multi-agent Systems |
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214 | (15) |
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214 | (3) |
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11.2 Delay-Induced Consensus and Quasi-Consensus in Multi-agent Dynamical Systems |
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217 | (6) |
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11.3 Motivation for Quasi-Consensus Analysis |
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223 | (1) |
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224 | (4) |
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228 | (1) |
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12 Conclusions and Future Work |
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229 | (3) |
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229 | (1) |
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230 | (2) |
Bibliography |
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232 | (9) |
Index |
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241 | |