Automakers and repair shops are rapidly adopting AI-powered diagnostic systems that cut troubleshooting time, predict faults before breakdowns, and integrate with connected vehicle platforms. Advances ...

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 ...

Abstract: This study presents a comparative study of an interleaved boost converter using various control methods, such as Model Predictive Control (MPC) and traditional PID control. Based on settling ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Building systems are dynamic and non-linear. In HVAC systems, independently controlled modules interact, creating complex interdependencies that challenge optimizing energy savings and thermal comfort ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: This paper presents the design of the Practical Nonlinear Model Predictive Control (PNMPC) for liquid level control. In this research, the developed nonlinear control algorithm (PNMPC) has ...

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