Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


Real-time Optimization for Model Predictive Control


M. Morari

ICCAS (International Conference on Control, Automation and Systems), Kintex, Gyeonggi-do, Korea, 27 - 30 October

I will discuss some of our recent work that brings the benefits of model predictive control to small-scale, high-speed systems and that can dramatically reduce online MPC loop execution to microsecond timescales. We show how our new real-time MPC schemes provide constraint satisfaction and stability, while optimizing for performance, at speeds several orders of magnitude faster than state-of-the-art. No single real-time optimization method will be able to tackle the broad range of possible problem classes, and so we present three techniques suitable for fast-sampled systems in the range of nano-, micro- and milli-seconds respectively. The controller synthesis methodologies are unique in that they take the available online computational resources as input and produce a controller that will execute within these bounds while satisfying constraints and stabilizing the system. I will motivate our work on real-time MPC with several applications, including wave power systems, camera networks, racing cars and smart power grids. Industrial examples will be presented throughout, which serve to highlight theoretical advancements and the extensive software tools that help to bring the developed theory to bear in practical scenarios.


Type of Publication:

(05)Plenary/Invited/Honorary Lecture

File Download:

Request a copy of this publication.
(Uses JavaScript)
% No recipe for automatically generating a BibTex entry for (05)Plenary/Invited/Honorary Lecture
Permanent link