Results 151 to 160 of about 10,801 (245)

Evaluating the realism of double moment parameterised particle size distributions in a midlatitude frontal ice cloud with complex microphysics

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Uncertainties in the representation of ice particle size distributions (PSDs) cause inaccuracies in parameterisations of clouds. In this study, observed PSDs from a midlatitude frontal case study are compared with gamma PSDs with the same concentration and ice water content.
Rosie M. Mammatt, Christopher D. Westbrook, Jonathan Crosier, Karina McCusker   +3 more
wiley   +1 more source

Comparison of Landfill Methane Emission Quantification Using Multiple Observation Methods. [PDF]

ACS EST Air
Gillespie LD, Ars S, Worthy C, Brantley H, Green R, Scarpelli TR, Cusworth DH, Vogel F, Wunch D.   +8 more
europepmc   +1 more source

Output Feedback Design for Parameter Varying Systems Subject to Persistent Disturbances and Control Rate Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto, Eugênio B. Castelan, Walter Lucia   +2 more
wiley   +1 more source

Complex-Scene SAR Aircraft Recognition Combining Attention Mechanism and Inner Convolution Operator. [PDF]

Sensors (Basel)
Liu W, Wang H, Duan J, Cao L, Feng T, Tian X.   +5 more
europepmc   +1 more source

PID‐Like Robust Control of Non‐Minimum Phase Robotic Manipulators

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes an output‐feedback tracking controller for non‐minimum phase nonlinear systems with unknown uncertainties and external disturbances, where not all states are measurable, and the zero dynamics are unstable. The approach combines a backstepping‐based stabilizing state‐feedback law with a cascade extended high‐gain observer ...
Mohammad Al Saaideh, Almuatazbellah Boker, Mohammad Al Janaideh   +2 more
wiley   +1 more source

Monitoring Cross-Border Dissemination of Antimicrobial Resistance (AMR) via Air Travel to Saudi Arabia: Formulation of Monitoring Strategies to Mitigate AMR Concerns. [PDF]

Environ Sci Technol
Wang C, Narayanasamy S, Shaabad M, Dallol A, Hala S, Hong PY.   +5 more
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone

Journal of Field Robotics, EarlyView.
ABSTRACT This paper describes the design, development, and real‐world testing of an autonomous drone for subterranean exploration, known as “Prometheus.” Driven by requirements from industry that the drone be able to be deployed through areas of restricted access, Prometheus was designed to be directly deployed through a 150 mm aperture.
Liam Brown, Robert Clarke, Ali Akbari, Ferdian Jovan, Jameel Marafie, Ognjen Marjanovic, Sara Bernardini, Tom Richardson, Simon Watson   +8 more
wiley   +1 more source

Integrating GAN-based machine learning with nonlinear Kalman filtering for enhanced state estimation. [PDF]

Sci Rep
Tobaly L, Yaniv E, Zalevsky Z.
europepmc   +1 more source

Software to Support Remote Sensing of River Discharge Based on Critical Flow Theory

River Research and Applications, EarlyView.
ABSTRACT Water resource management requires accurate observations of streamflow but standard field methods for measuring river discharge (Q$$ Q $$) can be costly and hazardous for equipment and personnel. Remote sensing has become a viable alternative, but many image‐based techniques require field data for calibration, and depth and velocity can seldom
Carl J. Legleiter, Inhyeok Bae
wiley   +1 more source