Results 111 to 120 of about 14,104 (237)

Measured‐State Conditioned Recursive Feasibility for Stochastic Model Predictive Control

International Journal of Robust and Nonlinear Control, Volume 36, Issue 11, Page 5964-5981, 25 July 2026.
ABSTRACT In this paper, we address the problem of designing stochastic model predictive control (SMPC) schemes for linear systems affected by unbounded disturbances. The contribution of the paper is rooted in a measured‐state initialization strategy. First, due to the nonzero probability of violating chance‐constraints in the case of unbounded noise ...
Mirko Fiacchini, Martina Mammarella, Fabrizio Dabbene   +2 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, Volume 72, Issue 7, July 2026.
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, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Model‐based fault diagnosis and fault tolerant control in safety‐critical chemical reactors: An experimental study

AIChE Journal, Volume 72, Issue 7, July 2026.
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, Ritu Ranjan, Benjamin Wilhite, Costas Kravaris   +3 more
wiley   +1 more source

Hydrogen to Power: Exploring Current Developments and Future Challenges

Natural Sciences, Volume 6, Issue 3, July 2026.
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, Muhammad Ahmad, Youssef Awda, M. Maaruf, Muaiz O. Ali, Khalid A. AlShumayri, Syed M. Rahman   +6 more
wiley   +1 more source

Stochastic Reaction Networks Within Interacting Compartments with Content-Dependent Fragmentation. [PDF]

Bull Math Biol
Anderson DF, Howells AS, La Luz DR.
europepmc   +1 more source

A chaos theory and nonlinear dynamics approach to the analysis of financial series : a comparative study of Athens and London stock markets [PDF]

This dissertation presents an effort to implement nonlinear dynamic tools adapted from chaos theory in financial applications. Chaos theory might be useful in\ud explaining the dynamics of financial markets, since chaotic models are capable of ...
Karytinos, Aristotle D.
core  

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
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, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Study of Localized Corrosion Susceptibility of Ni-Based Superalloys Employing Electrochemical Noise Technique. [PDF]

Materials (Basel)
Almeraya-Calderon F, Huerta-Zavala MS, Maldonado-Bandala E, Nieves-Mendoza D, Jaquez-Muñoz JM, Baltazar-Zamora MA, Landa-Ruiz L, Estupinan-Lopez F, Olguin-Coca J, Flores-De Los Rios JP, Gaona-Tiburcio C.   +10 more
europepmc   +1 more source

Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees

, 2018
International audienceWe present a novel way of generating Lyapunov functions for proving linear convergence rates of first-order optimization methods. Our approach provably obtains the fastest linear convergence rate that can be verified by a quadratic ...
van Scoy, Bryan, Taylor, Adrien, Lessard, Laurent   +2 more
core  

Deep Dark Futures: Foresighting Human Impacts on Mesopelagic Ecosystem Services

Fish and Fisheries, Volume 27, Issue 4, Page 876-894, July 2026.
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, Alistair J. Hobday, Rowan Trebilco, Heidi Pethybridge, Ingrid van Putten, Katherine Baker, Karen Evans, David Green, Eriko Hoshino, Haris Kunnath, Clothilde Langlais, Tim P. Lynch, Javier Porobic, Tyler Rohr, Elizabeth H. Shadwick, Caroline A. Sutton, Jodie Van de Kamp, Briannyn Woods, Bowen Zhang   +18 more
wiley   +1 more source