Ulteriori informazioni
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.
Sommario
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.
Info autore
Dr. Khashayar Khorasani, Concordia University, kash@ece.concordia.ca
Dr. Elham Semsar-Kazerooni, University of Toronto, elham.semsar.kazerooni@utoronto.ca
Riassunto
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.
Testo aggiuntivo
From the book reviews:
“The book is structured in six chapters, a rich list of references, an index terms, a list of explanations of the figures which are included. … The book is targeted for researchers, scientists and graduate-level university students who are interested in becoming familiar with design of consensus-seeking algorithms in the general area of networked dynamical systems.” (Vasile Dragan, zbMATH, Vol. 1304, 2015)
Relazione
From the book reviews:
"The book is structured in six chapters, a rich list of references, an index terms, a list of explanations of the figures which are included. ... The book is targeted for researchers, scientists and graduate-level university students who are interested in becoming familiar with design of consensus-seeking algorithms in the general area of networked dynamical systems." (Vasile Dragan, zbMATH, Vol. 1304, 2015)