Fast iterative solver for embedded model predictive control
Abstract
Abstract
We worked on an iterative first-order gradient method designed for the efficient implementation of Model Predictive Control (MPC). We also developed a new algorithm intended to simulate the performance of the proportional-integral projected gradient (PIPG) method introduced by [2], as well as its proposed parallel implementation to provide a comparison in terms of convergence rate and complexity.
Description
Department of Electrical and Computer Engineering
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