First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Engineering
Course unit
INP6075057, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
IN0527, Degree course structure A.Y. 2008/09, A.Y. 2017/18
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination CONTROL SYSTEM DESIGN
Department of reference Department of Information Engineering
E-Learning website
Mandatory attendance No
Language of instruction English
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Teacher in charge ANGELO CENEDESE ING-INF/04

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses ING-INF/04 Automatics 9.0

Mode of delivery (when and how)
Period First semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
Hours of
Individual study
Lecture 9.0 72 153.0 No turn

Start of activities 25/09/2017
End of activities 19/01/2018

Prerequisites: Linear algebra, Control/system theory, Data analysis, Filtering and estimation
Target skills and knowledge: Advanced tools for dynamical system modeling, estimation and control, specifically with reference to multiagent systems (robotic and camera networks).

Ability to manage the scientific tools and knowledge to solve an engineering/research problem.
Ability to formalize a problem and a strategy to address its solution.
Ability to organize the teamwork within a project task.
Examination methods: Homeworks
Class tests
Project development
- Written report
- Oral discussion
Assessment criteria: Ability to formalize a specific engineering problem, solve it by exploiting the tools and techniques acquired during the laurea curriculum, to discuss the design choices​​, to present the project results .
Course unit contents: - Advanced topics for modeling, estimation, control (Singular Value Decomposition, Least Square techniques, Optimization)
- Multiagent systems (graph theory, Perron-Frobenius theorem, consensus theory)
- Camera networks and robotic networks (multi view geometry, pose reconstruction, distributed calibration, localization, coverage)
- Applications:
--- robotics and camera networks;
--- quadcopters coordination
Planned learning activities and teaching methods: Class lectures.
Additional notes about suggested reading: Lecture notes.
Textbooks (and optional supplementary readings)
  • Dimitri P. Bertsekas, Nonlinear Programming. --: Athena Scientific, 2nd edition, 1999. Cerca nel catalogo
  • Dimitri P. Bertsekas and John N. Tsitsiklis, Parallel and Distributed Computation: Numerical Methods (Optimization and Neural Computation). --: Athena Scientific, 1 edition, 1997. Cerca nel catalogo
  • Stephen Boyd and Lieven Vandenberghe, Convex Optimization. --: Cambridge University Press, 2004. Cerca nel catalogo
  • Hamid Aghajan and Andrea Cavallaro, Multi-Camera Networks principles and applications. --: Elsevier, 2009. Cerca nel catalogo
  • Yi Ma, Stefano Soatto, Jana Kosecka, and Shankar S. Sastry, An Invitation to 3-D Vision: From Images to Geometric Models (Interdisciplinary Applied Mathematics). --: Springer, 2005. Cerca nel catalogo
  • Mehran Mesbahi and Magnus Egerstedt, Graph Theoretic Methods in Multiagent Networks. --: Princeton University Press, 2010. Cerca nel catalogo