Linear and Nonlinear Predictive Control
21st & 22nd Nov 2017
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 course provides a brief overview of various popular techniques for nonlinear control systems design. It will also introduce a new family of nonlinear industrial controllers referred to as Nonlinear Generalised Minimum Variance (NGMV). The new NGMV controllers are simple to drive theoretically and easy to implement. The wider family of controllers contains versions that in the limiting case of linear systems revert to well-known generalised minimum variance, Linear Quadratic Gaussian, and Generalised Predictive Controllers.
Glasgow City Centre offers a wide range of accommodation, you can find our recommendations here.
|Day 1: Optimal and MPC for Linear and Nonlinear Systems|
|09.00||Introduction to Predictive Control Main Principles and Concepts|
|10.15||Linear Optimal Model Predictive Control|
|11.15||Hands-On Session: Linear Predictive Control – MPC example|
|13.00||Practical Aspects of Linear MPC Design and Implementation|
|14.00||Hands-On Session: Designing Model Predictive Controls and Tuning|
|15.00||Nonlinear System Modelling and Estimation for Predictive Control|
|16.00||Hands-On Session: Nonlinear System Modeling|
|Day 2: Nonlinear Predictive Control Systems Design and Implementation|
|09.00||Introduction to the Predictive Control of Nonlinear Systems|
|10.15||Predictive Control of Nonlinear Systems|
|11.15||Hands-On Session: Advanced Nonlinear Control Design|
|13.15||MPC Design Methods and Application Examples|
|14.30||Application Example: Supervisory Multiple-Model Approach to Lambda and Torque Control|
|15.15||Emerging Trends in Nonlinear Predictive Control|