MODELLISTICA E OTTIMIZZAZIONE

Knowledge on modeling of linear systems and optimal and robust control techniques. Nonlinear modeling based on neural algorithms. Linear and nonlinear programming.

Frontal lectures and Matlab based laboratory.

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.

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