Understanding Control Technologies

AGENDA INSTRUCTORS ADDITIONAL INFO ONLINE REGISTRATION

Overview

This course is new and was designed for control specialists or to advance the learning for those that have attended the Control Fundamentals courses. It covers a range of advanced control topics in an overview and introductory form describing some of the most important problems in control design and applications:

  • Modern modelling and simulation methods
  • Optimal Control and Optimization Techniques
  • Dealing with Uncertainty
  • Robust and Safety Critical Control Methods
  • Predictive Control to Handle Constraints
  • Nonlinearities and Design Issues
  • Application of Advanced Control Problems & Solutions

Instructors

Michael Grimble

Professor Michael Grimble

Professor Mike Grimble understands the needs of industry well, having worked for Ciba Geigy and Associated Electrical Industries (later GEC at Rugby). At Imperial College's Industrial Automation Group, he focused on modelling for the control of cold rolling mills. He later established industrial groups at Sheffield Hallam University and the University of Strathclyde where he continues as a Research Professor. His expertise lies in designing high-performance, robust control systems for various industrial applications. His industrial background enriches the industrial training courses with valuable motivation and insights.

PAWEL MAJECKI

Dr Pawel Majecki

Dr. Pawel Majecki conducted his research at the Industrial Control Centre at Strathclyde University before joining Industrial Systems and Control Ltd (ISC), which promotes technology transfer. He has worked with major international companies, applying advanced control methods, including predictive and optimal controls. Dr. Majecki has also led control training courses in the UK, Norway, Italy, Spain, and the USA. His extensive experience with MATLAB/Simulink enhances the hands-on training, helping delegates gain deeper insights into these tools and their application in design methods.

Delegates will find both instructors delighted to answer questions and discuss industrial problems during coffee breaks, lunch breaks, and at the end of the day.

Additional Information

Event Venue

Glasgow G2 1LU

Accommodation

Glasgow City Centre offers a wide range of accommodation, you can find our recommendations here.

Course Summary and Agenda (Download PDF)

Timings may change slightly.

Day 1: Introduction to Modelling, Multivariable and Optimal Control

9.00 Welcome and Introduction to the Course
9.15 Modelling of Dynamic Systems – Modelling of linear and nonlinear systems to be controlled, model requirements, state space models, benefits of simulation
10.15 TEA/COFFEE
10.30 Kalman Filters and Observers for State Estimation – Optimal estimation problems and Kalman filtering algorithms or observers for linear, time-varying and LPV systems, and for use in MPC control solutions
11.30/td> Hands-On Session: State Estimation for Systems - Powertrain Example, Stochastic Systems, State estimation using Kalman Filter, Observers
12.30 LUNCH
13.30 Introduction to Multivariable Control Design and Stability – Multivariable system models, Model Structures and Compensation, Relative Gain Array, Stability
14.15 TEA/COFFEE
14.30 Introduction to LQ and LQG Optimal Control - Optimal Control Techniques for Linear Systems, Optimal control cost-functions, LQ control, LQG control, Natural Robustness properties
15.30 Hands-On Session: LQ State Feedback Optimal Control and Robustness Properties - Flight Control Example, Gain & Phase Margins of state feedback solutions
16.15 Design Example Using LQG Control - Thickness control, Kalman filtering and LQG design example
17.00 CLOSE

Day 2 - Introduction to Uncertainty and Robust Control

09.00 Uncertainty in Systems and Robustness - Modelling uncertainty, control design in presence of uncertainty.
10.00 TEA/COFFEE
10.15 Hands-On Session - LQG Stochastic Control Design - Flight Control Example, Disturbance Rejection, Robustness, use of Dynamic Cost-Function Weightings
11.15 Introduction to Robustness and H∞ Control - H∞ cost measures, Standard system model control structures with uncertainty
12.15 LUNCH
13.15 Hands-On Session: Robustness and H∞ Robust Control System Design - F16 flight control H∞ design example
14.15 Design Example Using Kalman Filtering, LQG, H∞ Methods – Modelling, estimation and LQG or H∞ design stages, and results, using a positioning control design example
15.15 TEA/COFFEE
15.30 Quantitative Feedback Theory Robust Control Design Method – frequency response based robust control design method, design example remote pilotless vehicle
16.00 Introduction to Linear Model Predictive Control – Optimal constrained and unconstrained control, operation of basic algorithms, pros and cons
17.00 CLOSE

Day 3 - Predictive and Nonlinear Control Systems Design

09.00 Model Predictive Control: Use of linear parameter varying models to approximate nonlinear systems
10.00 TEA/COFFEE
10.15 Optimisation and Quadratic Programming Solvers – Convex optimisation problems, Use in MPC design
11.00 Hands-On Session: Introducing Model Predictive Control Design Approach and Performance Results - vehicle suspension control problem
12.00 LUNCH
13.00 Overview of Nonlinear Control Techniques – The range of nonlinear control design options available
14.00 Hands-On Session: Introducing Nonlinear Control System Problems and Design Methods
15.00 TEA/COFFEE
15.15 Servo System Design Study: for Nonlinear Control Design Applications – Sightline Stabilisation of Electro-Optical Devices
16.00 Model Based Advanced Control Methods - Summary of Important Features of Model Based Design Methods Covered in the course and Recent Developments
16.50 End of Course Questions and Close

Prices and Discounts

  • Registration before 31st October 2025: £1,380 + VAT per delegate
  • Registration on/after 31st October 2025: £1,490 + VAT per delegate

For two or more places from the same organisation, each additional place is 10% off the single place fee.

Registration

Please complete the Online Registration Form.

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