Model predictive control in aerospace systems: Current state and opportunities
CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …
Tutorial overview of model predictive control
JB Rawlings - IEEE control systems magazine, 2000 - ieeexplore.ieee.org
The paper provides a reasonably accessible and self-contained tutorial exposition on model
predictive control (MPC). It is aimed at readers with control expertise, particularly …
predictive control (MPC). It is aimed at readers with control expertise, particularly …
OSQP: An operator splitting solver for quadratic programs
We present a general-purpose solver for convex quadratic programs based on the
alternating direction method of multipliers, employing a novel operator splitting technique …
alternating direction method of multipliers, employing a novel operator splitting technique …
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
Data-driven discovery of dynamics via machine learning is pushing the frontiers of modelling
and control efforts, providing a tremendous opportunity to extend the reach of model …
and control efforts, providing a tremendous opportunity to extend the reach of model …
Data-driven discovery of Koopman eigenfunctions for control
Data-driven transformations that reformulate nonlinear systems in a linear framework have
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
the potential to enable the prediction, estimation, and control of strongly nonlinear dynamics …
[图书][B] Constrained model predictive control
EF Camacho, C Bordons, EF Camacho, C Bordons - 2007 - Springer
The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …
possess an unlimited range. This is not very realistic because in practice all processes are …
A survey of industrial model predictive control technology
SJ Qin, TA Badgwell - Control engineering practice, 2003 - Elsevier
This paper provides an overview of commercially available model predictive control (MPC)
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …
Robust model predictive control of constrained linear systems with bounded disturbances
This paper provides a novel solution to the problem of robust model predictive control of
constrained, linear, discrete-time systems in the presence of bounded disturbances. The …
constrained, linear, discrete-time systems in the presence of bounded disturbances. The …
An auto-generated real-time iteration algorithm for nonlinear MPC in the microsecond range
In this paper, we present an automatic C-code generation strategy for real-time nonlinear
model predictive control (NMPC), which is designed for applications with kilohertz sample …
model predictive control (NMPC), which is designed for applications with kilohertz sample …
A real-time iteration scheme for nonlinear optimization in optimal feedback control
An efficient Newton-type scheme for the approximate on-line solution of optimization
problems as they occur in optimal feedback control is presented. The scheme allows a fast …
problems as they occur in optimal feedback control is presented. The scheme allows a fast …