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.


Embedded Model Predictive Control with Explicit Computational Constraints


C.N. Jones

EPFL, Lausanne, Switzerland

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 methods for making design tradeoffs among 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 optimal 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, and then synthesizes an approximate controller that guarantees both system stability and feasibility while maximizing performance within the allocated complexity.


Type of Publication:


File Download:

Request a copy of this publication.
(Uses JavaScript)
% No recipe for automatically generating a BibTex entry for (06)Talk
Permanent link