Cloud-based computational model predictive control using a parallel multi-block ADMM approach

Autor: Ma, Yaling, Gao, Runze, Dai, Li, Wu, Jinxian, Xia, Yuanqing
Rok vydání: 2022
Předmět:
Druh dokumentu: Working Paper
Popis: Heavy computational load for solving nonconvex problems for large-scale systems or systems with real-time demands at each sample step has been recognized as one of the reasons for preventing a wider application of nonlinear model predictive control (NMPC). To improve the real-time feasibility of NMPC with input nonlinearity, we devise an innovative scheme called cloud-based computational model predictive control (MPC) by using an elaborately designed parallel multi-block alternating direction method of multipliers (ADMM) algorithm. This novel parallel multi-block ADMM algorithm is tailored to tackle the computational issue of solving a nonconvex problem with nonlinear constraints.
Comment: Statements and experiments are flawed
Databáze: arXiv