Detail of the student project

Topic:Analogue Optimization Circuits
Supervisor:Pavel Otta
Announce as:PTO
Description:In November 2014, Sergey Vichik and Francesco Borrelli from University of California in Berkeley published a paper in which solving of Linear Programming (LP) and Quadratic Programming (QP) by analogue circuits is presented. The main benefit of this approach is fast computation time reported to be in the few nanoseconds for small-sized problems as well as tiny energy consumption. LP or QP also arises in Model Predictive Control (MPC). This approach represents a new branch of our research currently aimed on fast algorithms for predictive control.

We are looking for enthusiastic theoretically or practically oriented students to develop the platform for conversion of optimization problem (LP and/or QP) into analogue circuit in Simscape/Matlab as well as circuit design, deployment and testing.
Max.number of students:4

Warning: the registration to the PTO can be canceled only by supervisor.
Responsible person: Petr Pošík