Colin Jones, Nov 08
Colin Jones from ETH will be visiting CDS on 19 Nov (Wed). If you would like to meet with him, fill in your name on the schedule below.
- 9:00 - Richard, 109 Steele
- 9:15 - Open
- 10:00 - Open
- 10:45 - Seminar prep
- 11:00 - Seminar in 114 Steele
- 12:00 - lunch with Richard, Noel, Lars
- 1:30 - Lars Blackmore
- 2:15 - Open
- 3:00 - CDS tea
- 3:30 - Open
- 4:15 - Open
EMBEDDED MODEL PREDICTIVE CONTROL WITH EXPLICIT COMPUTATIONAL CONSTRAINTS
Dr Colin Jones, Automatic Control Lab, ETH Zurich
Wednesday, November 19, 2008 11:00 AM to 12:00 PM Steele 114 (CDS Library)
One of the major challenges in modern embedded controller synthesis is the ability to specify available computational power and storage as input design parameters. Our current work develops new systematic methods for making design tradeoffs amongst online processing time, storage space and controller performance for high-speed applications. This talk will focus on approximate solutions to 'explicit model-predictive controllers', in which the control laws are pre-computed offline, making on-line computation fast and simple. The proposed framework allows the design engineer to specify the available online computational power and storage resources. It then synthesizes an approximate controller that guarantees both system stability and feasibility while maximizing performance within the allocated complexity without recourse to tweaking or manual tuning.
Colin Jones is currently a senior researcher (Oberassistent) at the Automatic Control Laboratory in the Swiss Federal Institute of Technology (ETH) in Zurich. He obtained a PhD in 2005 from the University of Cambridge for his work on polyhedral computational methods for constrained control. Prior to that, he was at the University of British Columbia in Canada, where he took a BASc and MASc in Electrical Engineering and Mathematics. Colin has worked in a variety of industrial roles, ranging from control of heating, ventilation and air conditioning to ballistic missile interception. He is co-founder of Apex Optimization; a custom optimization house that focuses on human resource scheduling. His current research interests are in the areas of high- speed predictive control, optimization, energy management and optimal scheduling.