Facoltà di Ingegneria - Guida degli insegnamenti (Syllabus)

Program

Controllo non Lineare
Non-linear Control
Giuseppe Orlando

Seat Ingegneria
A.A. 2016/2017
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
Elements of Linear Algebra and Calculus, Differential Equations, Laplace Transform, Linear Time Invariant Systems.

Learning outcomes
KNOWLEDGE AND UNDERSTANDING:
The course enables students to acquire knowledge and skills on the analysis and synthesis of nonlinear control systems . This knowledge will complete what has been already learnt in the automation courses of the three-years degree, and will enable students to increase their expertise in the study and synthesis of nonlinear systems in different application contexts , thus allowing them to acquire a greater awareness of the multidisciplinary nature of engineering.
CAPACITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
The student will be able to deal with topics of nonlinear automated systems synthesis, in different application contexts and with often conflicting specifications, and to select the architecture which best fits the particular problem of nonlinear control. This ability will appear through a series of professional skills, such as: 1. the ability to classify the design requirements ; 2. the ability to choose the most suitable nonlinear synthesis methodology; 3. the ability to appropriately evaluate nonlinear systems  performances; 4. the ability to critically analyze experimental data, working in teams with other elements involved in the study of the problem.
TRANSVERSAL SKILLS:
The execution of an exercise in solving a nonlinear control problem , made in the classroom with the help of CAD tools , will help to improve both the level of the student's independent judgment , both his ability to learn iindependently, both the communication capacity that results from the interaction with the others.

Program
References on Time Invariant Linear Systems. Nonlinear Systems Analysis. Stability of Autonomous Nonlinear Systems. Lyapunov Stability. Stability of non Autonomous Nonlinear Systems. Ultimate Boundedness, Input-to-State Stability. Synthesis Elements: Local Relative Degree. Zero Dynamics. Feedback Linearization, Sliding Mode Control, Passivity based control.

Development of the examination
LEARNING EVALUATION METHODS
The assessment of student learning consists of an oral exam, which consists of answering three of the topics covered in the course.

LEARNING EVALUATION CRITERIA
To successfully pass the assessment of learning, the student must have a competence of all the mathematical tools needed to understand the topics covered in the course, and of all the concepts that are the basis of automatic control theory fot linear time invariant systems. He must also know the fundamental properties of nonlinear dynamical systems and finally he must be able to perform the analysis and the synthesis of a non-linear control system, using the tools learnt in the course, both from a theoretical point of view, showing that he has understood in depth all the topics studied, and from a practical point of view, showing the capability ofsolving examples and exercises on the analysis and synthesis of these systems.

LEARNING MEASUREMENT CRITERIA
Each of oral questions is graded with a score between zero and ten. The overall evaluation is the sum of the three scores and is marked out of thirty.

FINAL MARK ALLOCATION CRITERIA
In order to have a positive evaluation, the student must achieve an overall score of at least eighteen, with the constraint that in each of the three oral questions the evaluation must be at least six. Full marks cum laude are given to students who have achieved the highest rating in the oral exam, and have shown a particular brilliance. 