TY - EJOUR DO - 10.1002/oca.2140 AB - The paper presents a review of active set (AS) algorithms that have been deployed for implementation of fast model predictive control (MPC). The main purpose of the survey is to identify the dominant features of the algorithms that contribute to fast execution of online MPC and to study their influence on the speed. The simulation study is conducted on two benchmark examples where the algorithms are analyzed in the number of iterations and in the workload per iteration. The obtained results suggest directions for potential improvement in the speed of existing AS algorithms. T1 - Dominant speed factors of active set methods for fast MPC IS - 5 DA - 2014 AU - Herceg, M. AU - Jones, Colin AU - Morari, M. JF - Optimal Control Applications & Methods SP - 608-627 VL - 36 EP - 608-627 PB - Wiley-Blackwell PP - Hoboken ID - 202643 KW - model predictive control KW - active set methods KW - rank updates KW - code generation SN - 0143-2087 UR - http://infoscience.epfl.ch/record/202643/files/HercegOCAM_2014.pdf UR - http://infoscience.epfl.ch/record/202643/files/fast_mpc_survey_ifaweb.pdf ER -