Real Time Solver for Model Predictive Control
Stine, Connor R.
Adegbege, Ambrose A.
MetadataShow full item record
Model Predictive Control (MPC) has begun to receive significant attention as a tool in real-time solver applications, as the betterment of technology and algorithms have allowed it to have a much faster operation time. This work explores the use of Lemke's Algorithm (Scheme I) in order to solve the Linear Complementarity Problem (LCP) that is derived from a specific MPC formulation. The conversion of MPC to LCP used by the proposed algorithm is shown in the "Methodology" section. The computation time of the proposed algorithm shows the promise it has as an efficient solver for Model Predictive Control.
Department of Electrical and Computer Engineering
File access restricted due to FERPA regulations