MODELLISTICA E OTTIMIZZAZIONE
Academic Year 2018/2019 - 1° YearCredit Value: 9
Scientific field: ING-INF/04 - Systems and control engineering
Taught classes: 42 hours
Exercise: 45 hours
Term / Semester: 1°
Learning Objectives
Knowledge on modeling of linear systems and optimal and robust control techniques. Nonlinear modeling based on neural algorithms. Linear and nonlinear programming.
Course Structure
Frontal lectures and Matlab based laboratory.
Detailed Course Content
The course aim at providing basic knowledge on modeling and control of linear and nonlinear systems. In particular, optimal and robust control techniques will be discussed. Moreover, neural network based modeling strategies will be presented. Furthermore, linear and nonlinear programming problems will be considered, providing knowledge about the most used algorithms to solve them.
Textbook Information
1. L. Fortuna, M. Frasca, Optimal and Robust Control - Advanced topics with MATLAB, CRC Press
2. F. S. Hillier, G.J. Liebermann, Introduction to Operations Research, Ed. McGraw Hill
3. S. Haykin, Neural Networks and Learning Machines, Prentice Hall