Advanced Control Systems
22nd - 25th September 2015, Glasgow

ISC is pleased to announce that registration is now open for this course. We are offering an "Early Bird Discount" if registration is received 2 weeks before the course start date (see online registration form). Employees of ACTC member companies are entitled to two places free of charge. Note that all courses offered can also be provided at your company premises through special arrangements, please contact us for more information.

Registration is required. Please ensure the payment details section of the form is completed.


This four day training course will introduce control systems design techniques for applications that are severely nonlinear, requiring control that is more advanced than classical PID. Computer-based exercises are used throughout so that attendees get hands-on experience with the methods. Please note that individual days can be selected, should you not need every topic covered.

The course will start by covering Kalman Filter algorithms and their implementation as an observer and parameter estimation, as advanced control often relies on plant models and state estimates. The Extended Kalman Filter is specifically useful for nonlinear systems and their control.

This will be followed by an overview of popular industrial techniques for nonlinear control systems design, and will introduce a new family of nonlinear industrial controllers referred to as Nonlinear Generalised Minimum Variance (NGMV). These new NGMV controllers are simple to derive theoretically and easy to implement, and can extend to include optimal and predictive features.

The third day will cover model predictive control (MPC) which the most popular advanced control technique adopted by the industry. Its popularity stems from the capability to handle constraints and an optimal control framework. The extension to nonlinear MPC will then be presented, including some new methods with simpler implementation than other approaches such as on-line linearisation or adaption. Application examples will be used to illustrate the various methods. A brief overview on the current trends in Nonlinear Predictive Control will conclude the course.

Additional Information
Event Venue

This event will be held in the Park Inn by Radisson Glasgow City Centre, 139-141 West George Street, Glasgow G2 2JJ


Rooms in the Park Inn by Radisson Glasgow City Centre are avaliable for delegates attending the course at 115 per room per night (including breakfast, free wifi, check in time at 3pm and latest check out at 1pm).

Alternative Hotels in the Glasgow Area.

Day 1: Kalman Filter Algorithms and Implementation
09:00 Introduction to modelling, Stochastic Processes and Signals
09:45 Hands-on Session: Implementation of Disturbance & Noise in State-Space Model
10:45State-Space Modelling of Linear Systems
11:30Introduction to the Kalman Filter
13:30Discrete Time Kalman Filter
14:30Hands-on Session: Application of Observers and Building the Kalman Filter
15:30Nonlinear Filtering & Parameter Estimation Using Extended Kalman Filters
16:30Hands-on Session: Kalman Filtering for Parameter Estimation
Day 2: Introduction to Nonlinear System Modelling and Control
09:00 Introduction to Nonlinear Systems and Modelling Methods
09:45 Introduction to Nonlinear System Control Design Techniques
10:45Introduction to Time-Varying, State-Dependent, LPV, Approximate Nonlinear and Hybrid Systems Modelling
11:30Hands-On Session: Nonlinear System Modelling (e.g. Engine Control)
13:30Introduction to Simple Nonlinear Control Design Methods and Nonlinear Generalized Minimum Variance (NGMV) Control
14:30Advanced Nonlinear Controls Including Sliding Mode and the NGMV Family of Control Design Methods
15:30Gain Scheduling and Restricted Structure Controllers Using Multiple Models
16:30Demonstration of Solving Design Problems Using NGMV toolbox
Day 3: Optimal and MPC for Linear and Nonlinear Systems
09:00 Introduction to Predictive Control Main Principles and Concepts
10:15Linear Optimal Model Predictive Control
11:15Hands-On Session: Linear Predictive Control - MPC example
13:00Practical Aspects of Linear MPC Design and Implementation
14:00Hands-On Session: Designing Model Predictive Controls and Tuning
15:00Model Estimation Using Neural Networks
16:00Hands-On Session: Nonlinear System modelling
Day 4: Nonlinear Predictive Control Systems Design and Implementation
09:00 Introduction to the Predictive Control of Nonlinear Systems
10:15Design Guidelines for Predictive Control of Nonlinear Systems
11:15Hands-On Session: Advanced Nonlinear Control Design
13:15Optimal Predictive and Robust Control and Examples
14:30Application Example: Supervisory Multiple-Model Approach to Lambda and Torque Control
15:15Emerging Trends in Nonlinear Predictive Control