Hi
we're a small university spin-off trying to commercialize research on explicit MPC (model predictive control). The basic idea is that we replace the high online computational cost of traditional MPC with some "lookup tables" that can provide the same optimal control but at a fraction of the online effort. This means that we can apply MPC on very fast processes & high sampling rates.
We believe that this theoretical breakthrough will enable MPC in areas that were considered off-limits before. Out of the possible applications we are currently concentrating on automotive control (engine management, traction control, etc)
Now the problem: basically we have no clue about the automotive industry, what hardware are used for control algorithms, who are the major players, where do we fit in the "value chain"... But we are confident our solution will be suitable for this market, offering speed, precision and all the other benefits usually associated with MPC.
We find it hard to penetrate the automotive industry since this is a "new idea" and we don't really have a reputation other than an academic institution (Imperial College London). Our only automotive partner turned out to be basically "broke" without funds for R&D like this. We are still missing a prototype implementation, a proof of concept so to speak.
I would appreciate your suggestions and any tips or contacts you feel may be helpful in our quest.
Much obliged Nikos Bozinis