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Artificial IntelligenceTeam Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms cover
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Team Cooperation in a Network of Multi-Vehicle Unmanned Systems: Synthesis of Consensus Algorithms

By Philipp Wieder
Team Cooperation in a Network of Multi-Vehicle Unmanned Systems develops a framework for modeling and control of a network of multi-agent unmanned systems in a cooperative manner and with consideration of non-ideal and practical considerations. The main focus of this book is the development of "synthesis-based" algorithms rather than on conventional "analysis-based" approaches to the team cooperation, specifically the team consensus problems. The authors provide a set of modified "design-based" consensus algorithms whose optimality is verified through introduction of performance indices. Dr. Khashayar Khorasani, Concordia University, kash@ec
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Team Cooperation in a Network of Multi-Vehicle Unmanned Systems develops a framework for modeling and control of a network of multi-agent unmanned systems in a cooperative manner and with consideration of non-ideal and practical considerations. The main focus of this book is the development of "synthesis-based" algorithms rather than on conventional "analysis-based" approaches to the team cooperation, specifically the team consensus problems. The authors provide a set of modified "design-based" consensus algorithms whose optimality is verified through introduction of performance indices. Dr. Khashayar Khorasani, Concordia University, kash@ece.concordia.ca Dr. Elham Semsar-Kazerooni, University of Toronto, elham.semsar.kazerooni@utoronto.ca Introduction.- Background.- Semi-Decentralized Optimal Consensus Strategies.- Non-Ideal Considerations for Semi-Decentralized Optimal Team Cooperation.- Linear Matrix Inequalities in the Team Cooperation Problem.- Conclusions and Future Work.- Appendix A: Proofs.  

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