Results 241 to 250 of about 295,628 (369)

New variants of fuzzy optimal control problems

open access: yesAsian Journal of Control, Volume 28, Issue 1, Page 116-123, January 2026.
Abstract This study introduces a groundbreaking approach to optimal control problems by incorporating fuzzy conformable derivatives. Our primary goal is to identify the optimal control strategy that maximizes fuzzy performance indices while adhering to fuzzy conformable dynamical systems.
Awais Younus   +3 more
wiley   +1 more source

Logistics Service Providers' Business Models in the Circular Economy: A Systematic Literature Review and Panarchy Theory Framework

open access: yesBusiness Strategy and the Environment, Volume 35, Issue 1, Page 1128-1164, January 2026.
ABSTRACT Logistics service providers (LSPs) can support the transition to a circular economy (CE) through their visibility over and facilitation of resource flows between supply chain (SC) actors. However, the proliferation of CE‐related terms, compounded by a manufacturer‐centric focus on CE culminating in knowledge siloes that result in an overall ...
Orsolya‐Anna Mate   +3 more
wiley   +1 more source

Handbook of Mathematical Fuzzy Logic - Volume 3

open access: green, 2015
Petr Cintula   +2 more
openalex   +1 more source

A Robust Multi‐Agent Based Hierarchical Control Strategy for SoC Balancing and Power Management in DC Shipboard Microgrids

open access: yesBattery Energy, Volume 5, Issue 1, January 2026.
Proposed SoC‐based distributed control framework enabling stable DC bus voltage, proportional current sharing, and robust SoC balancing in off‐grid hydrogen production systems. ABSTRACT This paper proposes a novel State of Charge (SoC)‐based hierarchical control strategy to ensure accurate and rapid current sharing, effective power flow management, and
Rashid Iqbal   +6 more
wiley   +1 more source

Enhancing Power System Flexibility Using AI‐Based Forecasting Techniques: A Comparative Study

open access: yesBattery Energy, Volume 5, Issue 1, January 2026.
This study compares AI‐based forecasting techniques for enhancing power system flexibility. XGBoost outperforms other models in short‐term load forecasting, enabling more reliable grid management and adaptive energy operations. ABSTRACT This paper compares seven forecasting models for hourly electricity consumption in a commercial office building using
Saad Hayat   +5 more
wiley   +1 more source

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