Program Overview
This five-day Advanced Control and Optimisation Course at Cranfield University provides advanced control engineering theory and techniques, specifically focused on automotive applications. Participants will gain knowledge of multivariable control design techniques and acquire practical skills in designing and simulating advanced modern controllers for multi-domain automotive systems. The course is suitable for practicing control engineers, individuals seeking to develop their understanding of advanced multivariable control techniques, and professionals from the automotive sector.
Program Outline
Advanced Control and Optimisation Course at Cranfield University: Detailed Extraction
Degree Overview:
This five-day course aims to provide participants with advanced control engineering theory and techniques, specifically focused on automotive applications. Participants will gain knowledge of multivariable control design techniques and acquire practical skills in designing and simulating advanced modern controllers for multi-domain automotive systems.
Objectives:
- Understand multivariable control design techniques.
- Apply advanced control techniques to automotive control problems.
- Design and simulate advanced controllers using MATLAB and Simulink.
- Design state estimators for multivariable automotive control systems.
- Assess the suitability of control techniques for specific automotive applications.
Outline:
Course Structure:
- Lectures
- Tutorials
- In-class practice exercises using MATLAB and Simulink
Duration:
Five days
Location:
Cranfield campus
Cost:
£1,940 (includes refreshments and lunch)
Target Audience:
- Practising control engineers with a strong grasp of classical control
- Individuals seeking to develop their understanding of advanced multivariable control techniques
- Professionals from the automotive sector (principles and methods applicable in other sectors)
Learning Outcomes:
- Create models of multivariable automotive systems.
- Apply advanced control techniques to automotive control problems.
- Design control algorithms using MATLAB and Simulink.
- Design state estimators for multivariable automotive systems.
- Judge the suitability of control techniques for specific automotive applications.
Core Content:
- Modelling multi-variable systems
- Using optimisation in multi-variable control
- Estimator design
- Neoclassical control
- Robust control
Assessment:
No information about assessment methods and criteria was found in the provided context.
Teaching:
- Experienced instructors with expertise in control engineering
- Emphasis on practical application and hands-on experience
- Use of MATLAB and Simulink for design and simulation
Careers:
- Potential career paths include control engineer, systems engineer, research engineer, and development engineer in the automotive industry.
- Completion of the course can enhance career prospects and open doors to advanced roles in control engineering.
Other:
- 20% discount for Cranfield alumni
- 10% discount for group registrations of 3 or more delegates from the same organization
- Accommodation options available on campus or nearby hotels
For the most up-to-date information, please refer to the Cranfield University website.
