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A Multilayer Perception Trained Method in Speed Control of a Linear Switched Reluctance Motor
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Switched reluctance motors are nonlinear systems with some uncertainties and unmodeled dynamics. Propulsion force and speed in these motors have inherently high fluctuations complicating their applications. The conventional ...
Stochastic linear programming for optimal planning of battery storage systems under unbalanced-uncertain conditions
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State Grid Electric Power Research Institute
, 2020 , Article)
Battery energy storage system (BESS) has already been studied to deal with uncertain parameters of the electrical systems such as loads and renewable energies. However, the BESS have not been properly studied under unbalanced ...
Critical indices and model of uncertainty perception for regional supply chains: insights from a Delphi-based study
(
Emerald
, 2020 , Article)
Purpose: The dynamic nature of uncertainty sources in regional operations represents supply chain management (SCM) imperatives to review uncertainty management frameworks on an ongoing basis with a view to identifying and ...
Multi-objective optimization methodology to size cogeneration systems for managing flares from uncertain sources during abnormal process operations
(
Elsevier Ltd
, 2015 , Article)
Flaring is common practice in industries to reduce the risk during abnormal situations, to maintain the product quality or to operate safely during process start up and shut down. Due to its large negative impacts on the ...
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
(
Elsevier
, 2020 , Article)
The high growth of the automotive industry reveals the very bright future of this technology and its high penetration effects on the human society. No doubt that the random and volatile charging demand of these devices ...
Towards robust autonomous driving systems through adversarial test set generation
(
ISA - Instrumentation, Systems, and Automation Society
, 2023 , Article)
Correct environmental perception of objects on the road is vital for the safety of autonomous driving. Making appropriate decisions by the autonomous driving algorithm could be hindered by data perturbations and more ...