# 2022/2023

## Recommended prerequisite for participation in the module

Linear control theory, numerical methods, optimization theory

## 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

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

## Exam

### Exams

 Name of exam Intelligent Control and Reliability Oriented Design Type of exam Written or oral exam ECTS 5 Assessment 7-point grading scale Type of grading Internal examination Criteria of assessment The criteria of assessment are stated in the Examination Policies and Procedures