Metaheuristic algorithms for PID controller parameters tuning: Review, approaches and open problems
The simplicity, transparency, reliability, high efficiency and robust nature of PID controllers
are some of the reasons for their high popularity and acceptance for control in process …
are some of the reasons for their high popularity and acceptance for control in process …
Model predictive control—status and challenges
X Yu-Geng, L De-Wei, L Shu - Acta Automatica Sinica, 2013 - Elsevier
For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …
developed rapidly. However, facing the increasing requirements on the constrained …
[책][B] Advanced and optimization based sliding mode control: Theory and applications
This book deals with sliding mode control (SMC) of uncertain nonlinear systems, focusing in
particular on advanced and optimization based algorithms. The aim is to provide an …
particular on advanced and optimization based algorithms. The aim is to provide an …
Disturbance rejection MPC framework for input-affine nonlinear systems
This article proposes a novel disturbance rejection model predictive control (DRMPC)
framework to improve the robustness of model predictive control (MPC) for a broad class of …
framework to improve the robustness of model predictive control (MPC) for a broad class of …
Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control
We consider inherent robustness properties of model predictive control (MPC) for
continuous-time nonlinear systems with input constraints and terminal constraints. We show …
continuous-time nonlinear systems with input constraints and terminal constraints. We show …
On the inherent robustness of optimal and suboptimal nonlinear MPC
DA Allan, CN Bates, MJ Risbeck, JB Rawlings - Systems & Control Letters, 2017 - Elsevier
Suboptimal model predictive control (MPC) is a control algorithm that uses suboptimal
solutions to optimal control problems to provide control actions quickly. In MPC, terminal …
solutions to optimal control problems to provide control actions quickly. In MPC, terminal …
On real-time robust model predictive control
High-speed applications impose a hard real-time constraint on the solution of a model
predictive control (MPC) problem, which generally prevents the computation of the optimal …
predictive control (MPC) problem, which generally prevents the computation of the optimal …
Conditions under which suboptimal nonlinear MPC is inherently robust
We address the inherent robustness properties of nonlinear systems controlled by
suboptimal model predictive control (MPC), ie, when a suboptimal solution of the (generally …
suboptimal model predictive control (MPC), ie, when a suboptimal solution of the (generally …
[책][B] Model predictive control of wastewater systems
C Ocampo-Martinez - 2010 - books.google.com
The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …
in control engineering. The rapid development of control technology has an impact on all …
[책][B] Neural approximations for optimal control and decision
Many scientific and technological areas of major interest require one to solve infinite-
dimensional optimization problems, also called functional optimization problems. In such a …
dimensional optimization problems, also called functional optimization problems. In such a …