Results 31 to 40 of about 1,348,659 (266)

Data-Driven Tube-Based Stochastic Predictive Control

IEEE Open Journal of Control Systems, 2023
A powerful result from behavioral systems theory known as the fundamental lemma allows for predictive control akin to Model Predictive Control (MPC) for linear time-invariant (LTI) systems with unknown dynamics purely from data.
Sebastian Kerz, Johannes Teutsch, Tim Brudigam, Marion Leibold, Dirk Wollherr   +4 more
doaj   +1 more source

Data-driven optimal prediction with control [PDF]

Communications in Nonlinear Science and Numerical Simulation
This study presents the extension of the data-driven optimal prediction approach to the dynamical system with control. The optimal prediction is used to analyze dynamical systems in which the states consist of resolved and unresolved variables. The latter variables can not be measured explicitly. They may have smaller amplitudes and affect the resolved
Aleksandr Katrutsa, Ivan V. Oseledets, Sergey V. Utyuzhnikov   +2 more
openaire   +2 more sources

Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model

IEEE Access, 2022
In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

Data‐driven safe gain‐scheduling control

Asian Journal of Control, 2023
AbstractData‐based safe gain‐scheduling controllers are presented for discrete‐time linear parameter‐varying systems (LPV) with polytopic models. First, ‐contractivity conditions are provided under which the safety and stability of the LPV systems are unified through Minkowski functions of the safe sets. Then, a data‐based representation of the closed‐
Amir Modares, Nasser Sadati, Hamidreza Modares   +2 more
openaire   +2 more sources

Noniterative Data-Driven Gain-Scheduled Controller Design Based on Fictitious Reference Signal

IEEE Access, 2023
This paper proposes a noniterative direct data-driven gain-scheduled control. Gain-scheduled proportional–integral–derivative (PID) control is one of the most popular approaches for nonlinear systems.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

Data-Driven LQR Control Design [PDF]

IEEE Control Systems Letters, 2019
This paper presents a data-driven solution to the discrete-time infinite horizon LQR problem. The state feedback gain is computed directly from a batch of input and state data collected from the plant. Simulation examples illustrate the convergence of the proposed solution to the optimal LQR gain as the number of Markov parameters tends to infinity ...
Gustavo R. Goncalves da Silva, Alexandre S. Bazanella, Charles Lorenzini, Lucíola Campestrini   +3 more
openaire   +2 more sources

On the Impact of Regularization in Data-Driven Predictive Control

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
Model predictive control (MPC) is a control strategy widely used in industrial applications. However, its implementation typically requires a mathematical model of the system being controlled, which can be a time-consuming and expensive task. Data-driven predictive control (DDPC) methods offer an alternative approach that does not require an explicit ...
Breschi, Valentina, Chiuso, Alessandro, Fabris, Marco, Formentin, Simone   +3 more
openaire   +2 more sources

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision

IEEE Access
As the global production of waste continues to rise, there is a growing demand for more effective waste management strategies to handle this expanding problem.
Dishant Mewada, Cathaoir Agnew, Eoin M. Grua, Ciaran Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony Scanlan   +8 more
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Application of Vision Transformers to Contamination Detection in Densely Cluttered Waste Scenes

IEEE Open Journal of the Computer Society
With the increasing global waste production, there is a rising need for improved waste management solutions to address this growing issue. In the United States, less than 35% of recyclable materials are actually recycled, leading to higher levels ...
Dishant Mewada, Cathaoir Agnew, Eoin M. Grua, Ciaran Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn Van de Ven, Anthony Scanlan   +8 more
doaj   +1 more source

COVID‐19 in cancer patients: The impact of vaccination on outcomes early in the pandemic

Cancer Medicine, 2023
Background With the rapid evolution of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic, the development of effective and safe vaccines was of utmost importance to protect vulnerable individuals, including cancer patients ...
Fareed Khawaja, Georgios Angelidakis, Adina Feldman, Vinod Ravi, Eric Woodman, Micah Bhatti, Ella Ariza‐Heredia, Peter Elhajj, Amy Spallone, Ying Jiang, Roy F. Chemaly   +10 more
doaj   +1 more source