OBJETIVEs Understand the fundamentals of intelligent control . Different optimization methods able to adapt intelligently the different parameters of control systems will be studied. The methods to study will be evolutive methods able to optimize complex, multiminima and subject to noise function. Advanced state estimation method will be aborded to be able to control intelligently complex systems and the computational tools to model, design and analyze those systems will be introduced (Matlab/Simulink based) .

Common themes of the subjects: - Automatization and control of processes, plants and factories - Structures of industrial plants and services according to CI 4.0 model - Systems engineering and process integration - Process and plants simulation tools Specific themes of the subjects: Intelligent control of processes and factories: Control inteligente de procesos y factorías: - Optimization: classical methods - Evolutionary Algorithms: Genetic Algorithms, Differential Evolution and PSO. - System Modeling : transfer function, state space model and complex system's modeling with Simulink/Matlab - System's control PID/State feedback Control - Observers and state estimators in presence of noise (Bayesian Filtering) - Kalman filter, Extended Kalman Filter, Unscented Kalman Filter and Particle Filter -LQR control and LQG Control

The activities carried out in the teaching of the subject are: - Master classes. Presentation of the main concepts. Discussion and clarification of doubts about the concepts. We will work on transparencies that will be given to students to facilitate learning, in addition to a text or basic reference texts required in the course. Practical exercises, in the theory sessions problems will be posed and solutions will be discussed. - Laboratories. Students (in teams of 2 or 3) will be offered practical case studies, must study them and then take the simulation data and analyze it. Knowledge of the topics covered in master classes and practical classes in the subject will be used. A preliminary study will be carried out, work will be carried out in the laboratory, and a written report will be delivered with the results and proposed solutions.