The aim of this course is that the student knows the basics needed to use the techniques of intelligent control for both modeling and identification of systems and control systems. the concept of fuzzy set and fuzzy operations to further define the concepts of fuzzy relations and fuzzy rules will be introduced. From these concepts a basic fuzzy controller is introduced and will be to identify and control systems from these fuzzy regulators.
Then neural networks will be addressed, starting with the notion of artificial neuron, layers of neurons, neural networks and learning strategies in neural networks. the most common neural networks will be introduced and will see how to use them for identification and control systems.
Subsequently different systems optimization techniques, both derivative and derivative such as single point, multipoint will be studied. genetic algorithms, differential evolution techniques and PSO among others will be introduced.
To achieve these objectives, the student must acquire a range of knowledge and skills.
As regards knowledge, the end of the course the student will be able to:
1. Design basic fuzzy controllers for dynamic systems.
2. Approximating a non-linear system using a fuzzy system.
3. Use fuzzy systems for adaptive control schemes.
4. Approximating a nonlinear system using a neural network.
5. To approximate a nonlinear dynamical system using a neural network.
6. Design a system based on neural networks for systems duinámicos control.
7. Using optimization methods based on genetic algorithms.
8. Using optimization methods based on differential evolution algorithms.
9. Using optimization methods based on PSO algorithms.
As for general skills or skills during the course they will work:
¿Overview of the problem of identification and control of a nonlinear dynamical system with the techniques discussed.
¿Ability to design controllers for nonlinear dynamical systems, as well as to analyze and interpret the results. This capability is especially work in the labs and in the resolution and discussion of case studies.
Capacity for team work cooperatively, critical and respectful of the solutions proposed by others, creative and responsible as a member of a team, to make the designs considered, distributing the workload to tackle complex problems. This capability will work in both practices in laboratory, to be held in equipment, such as in solving exercises, discussions and tutorials that may also have group character.
¿Recognition of the need for continuous learning and the ability to obtain and apply required lainformación accessing technical literature related to the scope of the subject both inEnglish and English. Ability to access the information required to know the details of a particular configuration.
¿Ability to communicate effectively both orally, written or graphic in both Spanish and English throughout the development of the activities proposed in the course (exercises, discussions, practices, etc.).