Registration ends 07.4.2026 at 23:59 h

Introduction on Matlab/Simulink; the most important Matlab/Simulink functions; structure of a Matlab/Simulink model simulation through different examples (technical systems, economic systems, biologic systems,...). The course embraces stochastic and deterministic methods of identification and control of dynamical systems. Static and Recursive Least Squares Methods to estimate parameters of systems (simple technical and economic systems). Nonconvex optimization: Particle Swarm Optimization Methods. Modelling and observers: examples of usage of observers in technical, economic and biologic systems. (Examples: 1. electrical motor with mechanical load. 2. Simple capital investment system. Lotka-Volterra model). 3. A control strategy: Sliding Mode Control. Examples of control of a simple capital investment system. Control of an electrical motor.

Scope of the course is to introduce to students who are not engineers, concepts of programming related to technical and not technical problems. The course consists of an introduction on programming using Matlab/Simulink and after that, some examples of simulations of systems as simple technical systems, economic systems, simple biologic systems (predator-prey model). The students learn algorithms to estimate and control variables of these systems.

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