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Advances on Distributionally Robust Model Predictive Control

open access: yesGuidance, Navigation and Control
This brief presents a systematic overview on the development for distributionally robust model predictive control (DRMPC). The existing works on robust model predictive control (RMPC), stochastic model predictive control (SMPC), and DRMPC are introduced ...
Bin Li, Tao Guan, Xiaoyi Guan
doaj   +1 more source

Diffusion Model Predictive Control

open access: yesCoRR
Published at ...
Guangyao Zhou   +8 more
openaire   +3 more sources

Efficient model predictive control with prediction dynamics [PDF]

open access: yes2003 European Control Conference (ECC), 2003
An efficient robust model predictive control (MPC) strategy using augmented ellipsoidal invariant sets is enhanced by introducing more general dynamics in the future control moves (referred to as prediction dynamics) than simple time recession. This allows significant enlargements of the region of attraction for a give control horizon.
Stian Drageset   +2 more
openaire   +1 more source

Central Nervous System Neuroblastoma, FOXR2‐Activated: A Pooled Analysis of Published Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan   +1 more
wiley   +1 more source

Predictive functional control for the temperature control of a chemical batch reactor [PDF]

open access: yes, 2006
A predictive functional control (PFC) technique is applied to the temperature control of a pilot-plant batch reactor equipped with a mono-fluid heating/cooling system.
Cabassud, Michel   +2 more
core   +1 more source

Model-Free Predictive Control of Motor Drives: A Review

open access: yesCES Transactions on Electrical Machines and Systems
Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance.
Chenhui Zhou   +2 more
doaj   +1 more source

Model Predictive Control of Running Biped Robot

open access: yesApplied Sciences, 2022
With the feet of a biped robot attached insecurely to a terrain, its stability is strongly affected by the characteristics of the terrain on which it runs.
Jaeuk Cho, Jong Hyeon Park
doaj   +1 more source

Sustained Therapeutic Efficacy of Intravenous Plasminogen Concentrate in Pediatric Patients With Type 1 Plasminogen Deficiency: An Analysis of Dosing Parameters and Clinical Outcomes

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar   +7 more
wiley   +1 more source

Model Predictive Traction and Steering Control of Planetary Rovers [PDF]

open access: yes, 2013
Results of the ESA project RobMPC (Robust Model Predictive Control for Space Constraint Systems) could successfully demonstrate that model predictive control (MPC) is definitively applicable for space systems with high dynamics like wheeled vehicles ...
Krenn, R.   +8 more
core  

Optimal control of nonlinear systems: a predictive control approach [PDF]

open access: yes, 2003
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented in this paper. It is shown that the closed-loop dynamics under this nonlinear predictive controller explicitly depend on design parameters (prediction time
Gawthrop, P. J.   +8 more
core   +1 more source

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