Results 161 to 170 of about 12,108,737 (322)
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Abstract This study investigates a fault‐tolerant control (FTC) approach for continuous stirred‐tank reactors (CSTR), emphasizing the importance of timely interventions to ensure operational safety under fault conditions. A systematic methodology combining residual‐based fault estimation and Dynamic Safety Margin (DSM) monitoring is developed to guide ...
Pu Du +3 more
wiley +1 more source
A Lyapunov function for pullback attractors of nonautonomous differential equations
The contruction of a Lyapunov function characterizing the pullback attractor of a cocycle dynamical system is presented. This system is the state space component of a skew-product flow generated by a nonautonomous differential equation that is driven by ...
Peter E. Kloeden
doaj
Hydrogen to Power: Exploring Current Developments and Future Challenges
As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source
We consider bimodal higher-order piecewise linear systems, i.e. the sets of solutions of two higher-order linear differential equations, coupled with inequality constraints involving a polynomial differential operator acting on the trajectories of the ...
Camlibel, M.K., Rapisarda, Paolo
core
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani +3 more
wiley +1 more source
Distributed safe formation tracking control of multiquadcopter systems using barrier Lyapunov function. [PDF]
Sadeghzadeh-Nokhodberiz N +3 more
europepmc +1 more source
Deep Dark Futures: Foresighting Human Impacts on Mesopelagic Ecosystem Services
This study uses foresighting to explore four plausible future scenarios of human activity affecting mesopelagic ecosystem services; provisioning, regulating, supporting and cultural. Using participatory scenario development, qualitative network modelling and indicator design, we assess systemic risks and early warning signals linked to harvest, climate
Ben Scoulding +18 more
wiley +1 more source
Does the application of Jensen's integral inequality and LMIs confirm exponential stability in delayed systems with gapped gamma distribution through augmented Lyapunov function? [PDF]
Rashid SM.
europepmc +1 more source
Control Lyapunov Functions: New Framework for Nonlinear Controller Design
Control Lyapunov function (CLF) is a successful attempt to directly use of the Lyapunov function stability analysis technique of nonlinear systems in the synthesis problem.
He YQ(何玉庆), Han JD(韩建达)
core

