Model predictive quadrotor control: attitude, altitude and position experimental studies
This study addresses the control problem of an unmanned quadrotor in an indoor
environment where there is lack of absolute localisation data. Based on an attached inertia …
environment where there is lack of absolute localisation data. Based on an attached inertia …
Quasi-min–max MPC for constrained nonlinear systems with guaranteed input-to-state stability
DF He, H Huang, QX Chen - Journal of the Franklin Institute, 2014 - Elsevier
This paper presents a robust quasi-min–max model predictive control algorithm for a class of
nonlinear systems described by linear parameter varying (LPV) systems subject to input …
nonlinear systems described by linear parameter varying (LPV) systems subject to input …
Nonlinear generalized predictive controller based on ensemble of NARX models for industrial gas turbine engine
IMA Ibrahem, O Akhrif, H Moustapha, M Staniszewski - Energy, 2021 - Elsevier
New design and operation of modern gas turbine engines (GTEs) are becoming more and
more complex where several limitations and control modes should be fulfilled at the same …
more complex where several limitations and control modes should be fulfilled at the same …
Event-based adaptive horizon nonlinear model predictive control for trajectory tracking of marine surface vessel
S Yuan, Z Liu, L Zheng, Y Sun, Z Wang - Ocean Engineering, 2022 - Elsevier
This study investigates the trajectory tracking problem of fully actuated marine surface
vessels (MSVs). First, an optimal problem for trajectory tracking of MSV is established. Model …
vessels (MSVs). First, an optimal problem for trajectory tracking of MSV is established. Model …
Integrated guidance and control of elastic flight vehicle based on robust MPC
S Shamaghdari, SKY Nikravesh… - International Journal of …, 2015 - Wiley Online Library
Integrated guidance and control of an elastic flight vehicle based on constrained robust
model predictive control is proposed. The design is based on a partial state feedback control …
model predictive control is proposed. The design is based on a partial state feedback control …
Robust model predictive control of nonlinear processes represented by Wiener or Hammerstein models
F Khani, M Haeri - Chemical Engineering Science, 2015 - Elsevier
Representing nonlinear systems by linear models along with structured or unstructured
uncertainties and applying robust control strategies could reduce the computational …
uncertainties and applying robust control strategies could reduce the computational …
[PDF][PDF] 非线性系统模型预测控制若干基本特点与主题回顾
何德峰, 丁宝苍, 于树友 - 控制理论与应用, 2013 - researchgate.net
随着线性系统模型预测控制的大量成功应用, 基于非线性模型的预测控制简称非线性预测控制(
NMPC) 在近20 年来引起了广泛关注, 并取得了丰富的研究成果. 本文在阐述NMPC …
NMPC) 在近20 年来引起了广泛关注, 并取得了丰富的研究成果. 本文在阐述NMPC …
Adaptive fuzzy PID control for a class of uncertain MIMO nonlinear systems with dead-zone inputs' nonlinearities
This paper proposes an adaptive fuzzy PID control for a class of multi-input multi-output
disturbed nonlinear systems with unknown dynamics and unknown dead-zone inputs' …
disturbed nonlinear systems with unknown dynamics and unknown dead-zone inputs' …
A robust model predictive control for a photovoltaic pumping system subject to actuator saturation Nonlinearity
In this paper, a new robust model predictive control (RMPC) for uncertain nonlinear systems
subject to actuator saturation is designed to regulate the terminal voltage of a photovoltaic …
subject to actuator saturation is designed to regulate the terminal voltage of a photovoltaic …
Robust model predictive control for nonlinear parameter varying systems without computational delay
This article proposes a one‐step ahead robust model predictive control (MPC) for discrete‐
time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within …
time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within …