Results 31 to 40 of about 1,700,235 (339)
Mathematics, 2023 Controlling an automotive suspension system using an actuator is a complex nonlinear problem that requires both fast and precise solutions in order to achieve optimal performance.
Daniel Rodriguez-Guevara +4 more
doaj +1 more source
Nominal Model-Predictive Control [PDF]
, 2013 Model Predictive Control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open loop optimal control problems.We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance and the assumptions needed in order to rigorously ensure ...
openaire +1 more source
Data Driven Economic Model Predictive Control
Mathematics, 2018 This manuscript addresses the problem of data driven model based economic model predictive control (MPC) design. To this end, first, a data-driven Lyapunov-based MPC is designed, and shown to be capable of stabilizing a system at an unstable equilibrium ...
Masoud Kheradmandi, Prashant Mhaskar
doaj +1 more source
Analysis of explicit model predictive control for path-following control. [PDF]
PLoS ONE, 2018 In this paper, explicit Model Predictive Control(MPC) is employed for automated lane-keeping systems. MPC has been regarded as the key to handle such constrained systems.
Junho Lee, Hyuk-Jun Chang
doaj +1 more source
Hybrid Data-Enabled Predictive Control: Incorporating Model Knowledge Into the DeePC
IEEE Open Journal of Control SystemsPredictive control can either be data-based (e.g. data-enabled predictive control, or DeePC) or model-based (model predictive control). In this paper we aim to bridge the gap between the two by investigating the case where only a partial model is ...
Jeremy D. Watson
doaj +1 more source
Overview of Predictive Control Technology for Permanent Magnet Synchronous Motor Systems
Applied Sciences, 2023 Permanent magnet synchronous motors (PMSMs) are commonly used in the automation industry. With the speedy development of digital system processors, predictive control as a modern control scheme has been applied to improve the dynamic performance and work
Jingyao Peng, Ming Yao
doaj +1 more source
Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model [PDF]
, 2016 In order to optimize the trade-off between components life and energy consumption, the integration of a system health management and control modules is required.
Karimi Pour, Fatemeh +2 more
core +1 more source
Plug-and-Play Decentralized Model Predictive Control [PDF]
, 2012 In this paper we consider a linear system structured into physically coupled subsystems and propose a decentralized control scheme capable to guarantee asymptotic stability and satisfaction of constraints on system inputs and states. The design procedure
Farina, Marcello +2 more
core +2 more sources
Frequency-Aware Model Predictive Control
, 2019 Transferring solutions found by trajectory optimization to robotic hardware remains a challenging task. When the optimization fully exploits the provided model to perform dynamic tasks, the presence of unmodeled dynamics renders the motion infeasible on ...
Dosovitskiy, Alexey +4 more
core +1 more source
Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus +6 more
wiley +1 more source