{"id":null,"code":"KTEK0038","name":{"valueFi":"Intelligent Control","valueEn":"Intelligent Control","valueSv":"Intelligent Control"},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[{"code":"KEKE","title":{"valueFi":"Kestävä kehitys","valueEn":"Sustainable development","valueSv":"Sustainable development"}}],"createdAt":1790534322074,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"After the course, the student will be able to apply the basic principles of the analysis and design of non-linear control schemes, evaluate how machine intelligence algorithms can be used to estimate modelling uncertainties, design intelligent controllers for smart systems, deploy and simulate the designed control laws. Considering the self-improvement capabilities of intelligent controllers, the student will also be able to design sustainable smart devices with more efficient energy consumption.","valueEn":"After the course, the student will be able to apply the basic principles of the analysis and design of non-linear control schemes, evaluate how machine intelligence algorithms can be used to estimate modelling uncertainties, design intelligent controllers for smart systems, deploy and simulate the designed control laws. Considering the self-improvement capabilities of intelligent controllers, the student will also be able to design sustainable smart devices with more efficient energy consumption.","valueSv":"After the course, the student will be able to apply the basic principles of the analysis and design of non-linear control schemes, evaluate how machine intelligence algorithms can be used to estimate modelling uncertainties, design intelligent controllers for smart systems, deploy and simulate the designed control laws. Considering the self-improvement capabilities of intelligent controllers, the student will also be able to design sustainable smart devices with more efficient energy consumption."}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"-  Fundamentals of Lyapunov stability theory\r\n-  Non-linear control: feedback linearization and adaptive schemes\r\n-  Basics of machine intelligence: fuzzy inference systems and artificial neural networks\r\n-  Design and implementation of intelligent controllers","valueEn":"-  Fundamentals of Lyapunov stability theory\r\n-  Non-linear control: feedback linearization and adaptive schemes\r\n-  Basics of machine intelligence: fuzzy inference systems and artificial neural networks\r\n-  Design and implementation of intelligent controllers","valueSv":"-  Fundamentals of Lyapunov stability theory\r\n-  Non-linear control: feedback linearization and adaptive schemes\r\n-  Basics of machine intelligence: fuzzy inference systems and artificial neural networks\r\n-  Design and implementation of intelligent controllers"}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study methods","valueSv":""},"content":{"valueFi":"Exam, project report","valueEn":"Exam, project report","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Course unit methods","valueSv":""},"content":{"valueFi":"Lectures, online materials, project.","valueEn":"Lectures, online materials, project","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"Farrell, J.A. and Polycarpou, M.M., Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches, John Wiley & Sons, 2006.\r\nScientific articles. \r\nMaterial provided by the teacher.","valueEn":"Farrell, J.A. and Polycarpou, M.M., Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches, John Wiley & Sons, 2006.\r\nScientific articles. \r\nMaterial provided by the teacher.","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"BSc in mechanical engineering or similar","valueEn":"BSc in mechanical engineering or similar","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"0-5","valueEn":"0-5","valueSv":"0-5"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"50% exam and 50% project report","valueEn":"50% exam and 50% project report","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Assessment criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Assessment criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Assessment criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kielet","valueEn":"Languages","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":""}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Konetekniikka","valueEn":"Mechanical Engineering","valueSv":"Mechanical Engineering"}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Wallace Moreira Bessa","valueEn":"Wallace Moreira Bessa","valueSv":"Wallace Moreira Bessa"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"Kestävä kehitys","valueEn":"Sustainable development","valueSv":"Sustainable development"}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}