Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Purpose
The course purpose is to contribute to students’ attainment of knowledge about some typical intelligent control methods with consideration of reliability

Content

• Intelligent control based on fuzzy logic and neural networks
  • Boolean logic, fuzzy theory of sets, membership functions, fuzzy logic
  • Fuzzy relations, fuzzy rule bases, defuzzication
  • Fuzzy modelling and fuzzy control
  • Neuron model, learning, back propagation error, gradient methods,
  • The coherence between regression and defuzzification, neural-fuzzy systems, learning in rule bases, extraction of rules from neural network

• Supervisory control
  • Discrete event systems and models
  • Languages and automata
  • Safety, blocking, state estimation and diagnosis
  • Controllability theorem
  • Supervisory control problem and their solutions

• Hybrid control systems
  • Terminology of hybrid systems
  • Control architectures of hybrid systems
  • Modelling of hybrid systems, Hybrid automaton and its operation
  • Reachability and controllability analysis 
  • Stability of hybrid systems 
  • Multiple Lyapunov function method
  • Control synthesis for linear switched hybrid systems

• Active fault-tolerant (reconfigurable) control
  • General structure of active FTCS
  • Classification of existing design strategies
  • Incorporation of performance degradation in designing FTCS
  • Reliability assessment of FTCS
  • Reconfigurable controller design techniques
• Statistic estimation of reliability
• Reliability evaluation of FDD methods

Learning objectives

Knowledge

• Have comprehension of the fundamental principles of typical intelligent control methods
• Have comprehension of the fundamental principles of reliability oriented design

Skills

• Be able to apply different intelligent control algorithms for different engineering problems
• Be able to apply reliability oriented design to solve some specific reliable control problems under the assistance of available computation software

Competences

• Independently be able to define and analyze scientific problems within the area of intelligent and reliable control
• Independently be able to be a part of professional and interdisciplinary development work within the area of intelligent and reliable control.

Type of instruction

The program is based on a combination of academic, problem-oriented and interdisciplinary approaches and organized based on the following work and evaluation methods that combine skills and reflection:

• Lectures
• Classroom instruction
• Project work
• Workshops
• Exercises (individually and in groups)
• Teacher feedback
• Reflection
• Portfolio work

Extent and expected workload

Since it is a 5 ECTS course module, the work load is expected to be 150 hours for the student

Exam

Exams

Additional information

Elective course
On this semester two courses must be chosen out of three elective courses (total: 10 ECTS).