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: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...

While Gemini 3 is still making waves, Google's not taking the foot off the gas in terms of releasing new models. Yesterday, the company released FunctionGemma, a specialized 270-million parameter AI ...

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...

Microsoft's New On-Device AI Model Can Control Your PC The 16.6GB 'Fara-7B' model is smart enough to handle buying something online or booking online travel on behalf of the user. Importantly, it runs ...

Abstract: In this paper, a framework of model predictive optimization and control for quadruped whole-body locomotion is presented, which enables dynamic balance and minimizes the control effort.

Abstract: In this paper, we establish a connection between model predictive control (MPC) techniques and Control Barrier Functions (CBFs). Recognizing the similarity between CBFs and Control Lyapunov ...

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 ...