Module Catalogue 2024/25

EEE8158 : Robust and Adaptive Control Systems (Inactive)

EEE8158 : Robust and Adaptive Control Systems (Inactive)

  • Inactive for Year: 2024/25
  • Module Leader(s): Professor Damian Giaouris
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Code Title
EEE3001Linear Controller Design and State Space Analysis
EEE8153Linear Controller Design & State Space with Matlab Applications
Pre Requisite Comment

General knowledge of dynamics and control systems. Appreciation of digital control concepts and design.

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

To provide students with an advanced understanding of modern controller design. To enhance student’s appreciation of practical issues and problems associated with the design of real-life control systems and appropriate techniques for improving controller performance. To provide insight into current trends in the field.

Outline Of Syllabus

Ordinary Differential Equations
• First, second and nth order systems
• Systems of first order differential equations

State Space Analysis
• Solution of a state space model
• State space transformations
• Controllability/Observability
• State feedback and LQR control

Nonlinear Dynamics
• Properties of nonlinear systems
• Linearisation
• Stability

Robust/Sliding mode control
• Ideal systems
• Nonsmooth control law
• Uncertainty
• Finite Convergence

Adaptive control
• Basic concepts of adaptive control
• Model Reference Adaptive Control

Further advanced material drawn from:

• Stochastic estimation (Kalman Filters),

• Further adaptive/self tuning techniques
• Optimum control
• Model Predictive control

Learning Outcomes

Intended Knowledge Outcomes

o       Understanding of basic state space methods for linear and nonlinear dynamics.
o       Understanding of sliding mode control strategies
o       Understanding and application of adaptive controllers in modern state of the art systems.
o       Awareness of advanced controller design and tuning methods

Intended Skill Outcomes

o       Solve a state space model and understand the system’s behavior.
o       Linearise a nonlinear system and determine its stability.
o       Design a sliding mode controller.
o       Ability to design an adaptive control system to compensate for dynamic changes in a system.
o       Analysis of non-linear control systems, and other state of the art techniques.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion130:0030:00Summative assessment.
Scheduled Learning And Teaching ActivitiesLecture122:0024:00PiP
Structured Guided LearningLecture materials170:205:40Student time to review non-synchronous pre-recorded videos.
Structured Guided LearningLecture materials170:205:40Non-synchronous pre-recorded videos, covering the main material of the module and matlab.
Guided Independent StudyIndependent study1122:40122:40Reviewing lecture notes; general reading
Guided Independent StudyIndependent study121:0012:00Tutorial exercises
Total200:00
Teaching Rationale And Relationship

This is a combination of online tutorials supplemented by directed lecture materials. lectures and computer practical sessions using CAD packages like Matlab/Simulink. Through this combination students will be able to better understand and apply the concepts of modern advanced control systems techniques.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Exams
Description Length Semester When Set Percentage Comment
Written Examination1802A1003h closed book exam at the end of the sem
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Aural Examination2MTutorials 1-3 in week 3.
Assessment Rationale And Relationship

Online material is assessed by written exam which will assess the students' ability to tackle problems based on Robust and Adaptive Control systems.

Timetable

Past Exam Papers

General Notes

N/A

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Disclaimer

The information contained within the Module Catalogue relates to the 2024 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.