Results 171 to 180 of about 11,381,817 (242)

Improving the Calibration of Low-Cost Sensors Using Data Assimilation. [PDF]

Sensors (Basel)
Aranda Britez DA, Tapia Córdoba A, Johnson P, Pacheco Viana EE, Millán Gata P.   +4 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Melanin-Based Compounds as Low-Cost Sensors for Nitroaromatics: Theoretical Insights on Molecular Interactions and Optoelectronic Responses. [PDF]

ACS Omega
Cachaneski-Lopes JP, Hawthorne F, Woellner CF, Nelson TL, Hiorns RC, Graeff CFO, Bégué D, Batagin-Neto A.   +7 more
europepmc   +1 more source

Investigating Use of Low-Cost Sensors to Increase Accuracy and Equity of Real-Time Air Quality Information. [PDF]

Environ Sci Technol, 2023
Considine EM, Braun D, Kamareddine L, Nethery RC, deSouza P.   +4 more
europepmc   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PM_2.5 in the Washington State Twin Registry. [PDF]

Environ Res
Liu N, Avery A, Austin E, Meschke JS, Beck NK, Carvlin G, Liu Y, Moudon AV, Novosselov I, Shirai JH, Duncan GE, Seto E.   +11 more
europepmc   +1 more source

Development of a GIS-Based Methodology for the Management of Stone Pavements Using Low-Cost Sensors. [PDF]

Sensors (Basel), 2022
Bruno S, Vita L, Loprencipe G.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

A Methodology for Designing a Roof Rainwater Quality Sensing-Recording-Grading System Using Low-Cost Sensors Paired with Microcontroller Software. [PDF]

ACS ES T Water
Ghimire SR, Wolfe K, Johnston JM, Kraemer SR, Blaskey D, Lindquist A.   +5 more
europepmc   +1 more source

Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors. [PDF]

Sensors (Basel), 2022
Ferrer-Cid P, Garcia-Calvete J, Main-Nadal A, Ye Z, Barcelo-Ordinas JM, Garcia-Vidal J.   +5 more
europepmc   +1 more source