The course aims to provide an introduction to the multi-agent systems by exploiting the algebraic theory of graphs.
The course focuses on the characterization of multi-agent systems through the analysis of the properties related to the underlying communication network.
A particular consideration will be done on the key issues related to the interconnected systems, including consensus.
The theoretical results will be supported by examples deriving from the analysis of physical and natural systems and the design of estimation systems as well as appropriate control laws.
The course focuses on the characterization of multi-agent systems through the analysis of the properties related to the underlying communication network.
A particular consideration will be done on the key issues related to the interconnected systems, including consensus.
The theoretical results will be supported by examples deriving from the analysis of physical and natural systems and the design of estimation systems as well as appropriate control laws.
Curriculum
teacher profile teaching materials
2. Review of the Matrix Theory with emphasis on the Perron-Frobenius theory;
3. Graph theory and algebraic graph theory;
4. Stability analysis for connected systems.
Notes provided by the teacher
Mutuazione: 20801759 CONTROLLO FUZZY in Ingegneria gestionale e dell'automazione LM-32 DE CAROLIS GIOVANNI
Programme
1. Introduction to multi-agent systems and motivational examples;2. Review of the Matrix Theory with emphasis on the Perron-Frobenius theory;
3. Graph theory and algebraic graph theory;
4. Stability analysis for connected systems.
Core Documentation
Lectures on Network Systems, rev 1.6, Jan 2022, F. Bullo http://motion.me.ucsb.edu/book-lnsNotes provided by the teacher
Type of delivery of the course
Lectures held in the classroom by the teacher.Attendance
nessuno/noneType of evaluation
during COVID-19 emergency, exams will follow the current regulations teacher profile teaching materials
2. Review of the Matrix Theory with emphasis on the Perron-Frobenius theory;
3. Graph theory and algebraic graph theory;
4. Stability analysis for connected systems.
Notes provided by the teacher
Programme
1. Introduction to multi-agent systems and motivational examples;2. Review of the Matrix Theory with emphasis on the Perron-Frobenius theory;
3. Graph theory and algebraic graph theory;
4. Stability analysis for connected systems.
Core Documentation
Lectures on Network Systems, rev 1.6, Jan 2022, F. Bullo http://motion.me.ucsb.edu/book-lnsNotes provided by the teacher
Reference Bibliography
nessuno/noneType of delivery of the course
Lectures held in the classroom by the teacher.Attendance
nessuno/noneType of evaluation
during COVID-19 emergency, exams will follow the current regulations