Results 71 to 80 of about 772,875 (164)

Direct data-driven control with signal temporal logic specifications

open access: yesIFAC-PapersOnLine
Most control synthesis methods under temporal logic properties require a model of the system, however, identifying such a model can be a challenging task. In this work, we develop a direct data-driven control synthesis method for temporal logic specifications, which does not require this explicit modeling step, capable of providing certificates for the
B. C. van Huijgevoort   +3 more
openaire   +2 more sources

Mobile Sensing and Life-Cycle-Assessment-Based Quantitative Model for Synergistic Pesticide–Carbon Reduction and Income Growth in Mulberry Orchard Protection: A Pilot Study

open access: yesAgriculture
Addressing the dual challenges of green agricultural transformation and the national carbon neutrality targets, the traditional pest control systems in the mulberry plantations of Nantong, Jiangsu Province, face concurrent problems, including excessive ...
Kai Huang   +6 more
doaj   +1 more source

Aphid Management in Crop Systems: Current Strategies and Future Perspectives

open access: yesAgriculture
Aphids are major agricultural pests worldwide, causing crop damage both through direct piercing-sucking feeding and the transmission of plant viruses.
Andie Alexander Gonzales Diaz   +2 more
doaj   +1 more source

A system parametrization for direct data-driven analysis and control with error-in-variables

open access: yesEuropean Journal of Control
In this paper, we present a new parametrization to perform direct data-driven analysis and controller synthesis for the error-in-variables case. To achieve this, we employ the Sherman-Morrison-Woodbury formula to transform the problem into a linear fractional transformation (LFT) with unknown measurement errors and disturbances as uncertainties.
Felix Brändle, Frank Allgöwer
openaire   +2 more sources

Harnessing uncertainty for a separation principle in direct data-driven predictive control

open access: yesAutomatica
17 pages, 2 figures, 1 table, accepted by Automatica on October 31st, 2024 (first submission: December 22nd, 2023)
Alessandro Chiuso   +3 more
openaire   +4 more sources

DataMesh+: A Blockchain-Powered Peer-to-Peer Data Exchange Model for Self-Sovereign Data Marketplaces

open access: yesSensors
In contemporary data-driven economies, data has become a valuable digital asset that is eligible for trading and monetization. Peer-to-peer (P2P) marketplaces play a crucial role in establishing direct connections between data providers and consumers ...
Mpyana Mwamba Merlec, Hoh Peter In
doaj   +1 more source

Optimized System Excitation for Data-Driven Thermal Modeling—A Practical Sim-to-Real Transfer Investigation

open access: yesIEEE Open Journal of Industry Applications
Data-driven thermal models increasingly replace direct temperature sensing and purely analytical thermal modeling. Their workflow comprises data acquisition on sensor-equipped prototypes, parameter optimization (training), and cross-validation prior to ...
Emebet G. Gedlu, Oliver Wallscheid
doaj   +1 more source

Data-Driven Fully Distributed Fault-Tolerant Consensus Control for Nonlinear Multi-Agent Systems: An Observer-Based Approach

open access: yesMathematics
This paper introduces a novel observer-based, fully distributed fault-tolerant consensus control algorithm for model-free adaptive control, specifically designed to tackle the consensus problem in nonlinear multi-agent systems.
Yuyang Zhao   +6 more
doaj   +1 more source

Direct Data Driven Natural Gradient Descent for Control

open access: yes
This paper introduces a novel direct data-driven control framework based on Natural Gradient Descent (NGD) to design interpretable and robust closed-loop policies without requiring explicit model identification. We propose two data-driven NGD formulations that incorporate the closed-loop covariance matrix through the Fisher Information Matrix (FIM ...
Esmzad, Ramin   +3 more
openaire   +2 more sources

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