Abstract: The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of ...

The rapid proliferation of affordable unmanned aerial systems has enabled their deployment in fields ranging from ...

Intelligent control has become a cornerstone of modern robotics and autonomous systems, where agents must operate safely and reliably despite uncertainty in ...

Abstract: This article investigates memory-based adaptive event-triggered (MBAET) consensus control for nonlinear multiagent systems (MASs) subject to multiple cyberattacks. Amultiattack model is ...

Managing the outbreak of COVID-19 in India constitutes an unprecedented health emergency in one of the largest and most diverse nations in the world. On May 4, 2020, India started the process of ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

IBM has published a patent application describing an AI decision engine for managing 3D printers. That is a pretty wide ...

RLCore refers to this emerging category as Real-Time Autonomous Optimization (RTAO) — a new approach to industrial ...

Beyond Installation, Operational, and Performance Qualifications: A Risk-Based Validation Framework for AI-Driven Software in ...

There are new CMP and deposition systems target the most critical advanced packaging steps, delivering higher-yield chip ...

Underground engineering faces persistent challenges associated with high concrete consumption, considerable carbon emissions from traditional support ...

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