THREE-DIMENSIONAL MODELING

Course objectives

General goals (Mod. I) The course illustrates the methodologies of optimal control. The student will be able to formulate, analyze, and search for solutions of optimization problems of different nature by an appropriate use of optimality conditions, with emphasis on optimal control problems. Specific outcomes - Knowledge and understanding The Students will lean the methods of optimal control theory and the main applications in different fields. - Capability to apply knowledge and understanding The Students will be able to propose the optimal control strategies depending on the specific problem at hand. - Critical and judgment skill The Students will be able to analyze control problems, proposing and implementing optimal control strategies. - Communication skills The course activities will allow the Students to increase their communication capabilities in scientific fields. - Learning skills One of the aim of the course is to increase the critical skills of the Students; they will be able to tackle a control problem, starting from the literature analysis, to the optimal control aspects, up to the implementation.

Channel 1
STEFANO BATTILOTTI Lecturers' profile

Program - Frequency - Exams

Course program
System Identification: Probability theory. Estimates: Definitions and properties. Rao-Cramer lower bound. Optimal estimates: Least squares, maximum likelihood, and Bayesian estimates with minimum error variance. Kalman filtering and prediction. Kalman filter. Steady-state Kalman filter. Recursive least-squares.
Prerequisites
System Theory, Automatic Control
Books
Notes in english C.Bruni, G. Di Pillo, Metodi Variazionali per il controllo ottimo, Masson , 1993 All the textbooks are available either on-line or in the library.
Frequency
Free attendance
Exam mode
The final grade consists of an oral exam: the Student must take an oral exam on all the topics discussed during the lectures.
Lesson mode
The course takes place in the classroom, alternating lessons in optimal estimation theory and application-type lessons with examples in different fields
  • Academic year2025/2026
  • CourseControl Engineering
  • CurriculumSingle curriculum
  • Year1st year
  • Semester2nd semester
  • SSDING-INF/04
  • CFU6