A tutorial on model predictive control for spacecraft rendezvous
EN Hartley - 2015 European Control Conference (ECC), 2015 - ieeexplore.ieee.org
This tutorial paper provides a review of recent advances in the field of spacecraft
rendezvous using model predictive control (MPC), an advanced optimal control strategy …
rendezvous using model predictive control (MPC), an advanced optimal control strategy …
Tuning guidelines for model-predictive control
M Alhajeri, M Soroush - Industrial & Engineering Chemistry …, 2020 - ACS Publications
This paper reviews available tuning guidelines for model-predictive control (MPC) from
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …
theoretical and practical perspectives. Its primary focus is on the guidelines introduced since …
Generalized predictive control for industrial processes based on neuron adaptive splitting and merging RBF neural network
An adaptive generalized predictive control (GPC) scheme for an industrial process is
designed based on a neuron adaptive splitting and merging radial basis function neural …
designed based on a neuron adaptive splitting and merging radial basis function neural …
Unit prediction horizon H∞ based model predictive control for the fuel cell based plug-in hybrid electric vehicle with rule-based energy management system
Plug-in hybrid electric vehicles (PHEVs) provide a good alternative in achieving better
performance and in the reduction of harmful gas emissions. The hybrid energy storage …
performance and in the reduction of harmful gas emissions. The hybrid energy storage …
Design and control of pressure-swing distillation for azeotropes with different types of boiling behavior at different pressures
Y Wang, Z Zhang, D Xu, W Liu, Z Zhu - Journal of Process Control, 2016 - Elsevier
The mixture of n-heptane and isobutanol presents minimum-and maximum-boiling
azeotropes as the pressure changes. Two different pressure-swing distillation (PSD) …
azeotropes as the pressure changes. Two different pressure-swing distillation (PSD) …
Tuning of model predictive controllers based on hybrid optimization
A tuning procedure for a model predictive controller (MPC) is presented for multi-input multi-
output systems. The approach consists of two steps based on a hybrid method: the goal …
output systems. The approach consists of two steps based on a hybrid method: the goal …
Autonomous Landing of an UAV Using H∞ Based Model Predictive Control
Possibly the most critical phase of an Unmanned Air Vehicle (UAV) flight is landing. To
reduce the risk due to pilot error, autonomous landing systems can be used. Environmental …
reduce the risk due to pilot error, autonomous landing systems can be used. Environmental …
Design, implementation and control of an amphibious spherical robot
L Shi, Z Zhang, Z Li, S Guo, S Pan, P Bao… - Journal of Bionic …, 2022 - Springer
We proposed and implemented a leg-vector water-jet actuated spherical robot and an
underwater adaptive motion control system so that the proposed robot could perform …
underwater adaptive motion control system so that the proposed robot could perform …
Systematic MPC tuning with direct response shaping: Parameterization and Inverse optimization-based Tuning Approach (PITA)
W Tang - Control Engineering Practice, 2024 - Elsevier
The automatic tuning of the weighting parameters in model predictive control (MPC) requires
a systematic strategy to shape the state and input responses to become close to the user's …
a systematic strategy to shape the state and input responses to become close to the user's …
Dynamical tuning for MPC using population games: A water supply network application
Abstract Model predictive control (MPC) is a suitable strategy for the control of large-scale
systems that have multiple design requirements, eg, multiple physical and operational …
systems that have multiple design requirements, eg, multiple physical and operational …