AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...

do-mpc is a comprehensive open-source toolbox for robust model predictive control (MPC) and moving horizon estimation (MHE). do-mpc enables the efficient formulation and solution of control and ...

When an outbreak of an infectious disease begins to spread, policymakers face an unenviable challenge. They must decide when to intervene and how forcefully, knowing that their choices carry both ...

1.1 The Limits of Classical Control: Why We Need More "Foresight" 1.1.1 Single-Input Single-Output (SISO) Focus vs. Multi-Input Multi-Output (MIMO) Reality 1.1.2 Handling Constraints: The "Rules of ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

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Abstract: This article presents a deep learning-based model predictive control (MPC) algorithm for control affine nonlinear discrete-time systems with matched and bounded state-dependent uncertainties ...