Efficient MPC optimization using Pontryagin's Minimum Principle
A method of solving the online optimization in model predictive control (MPC) of input-constrained linear systems is described. Using Pontryagin's Minimum Principle, the matrix factorizations performed by general purpose quadratic programming (QP) solvers are replaced by recursions of state and...
Main Authors: | Cannon, M, Liao, W, Kouvaritakis, B, IEEE |
---|---|
格式: | Conference item |
出版: |
2006
|
相似書籍
-
Efficient MPC optimization using Pontryagin's minimum principle
由: Cannon, M, et al.
出版: (2008) -
Improvements on the efficiency of linear MPC
由: Li, S, et al.
出版: (2009) -
Optimizing Variational Quantum Algorithms Using Pontryagin’s Minimum Principle
由: Zhi-Cheng Yang, et al.
出版: (2017-05-01) -
A line search improvement of efficient MPC
由: Kouvaritakis, B, et al.
出版: (2010) -
Constrained MPC using feedback linearization for systems with unstable inverse dynamics
由: Liao, W, et al.
出版: (2005)