Abstract: We present an approach to address a multirobot persistent monitoring problem, where a team of agents must repeatedly survey specific points of interest (POIs) within a 2-D area. Our approach ...
Abstract: This brief introduces a nonlinear model predictive control (NMPC) scheme for multirotor electric Vertical Take-off and Landing (eVTOL) aircrafts with many actuators. We present a novel ...
13d
Ask the Automation Pros: How Can You Ensure the Best Rate of Change in the PID Manipulated Variable?
What is the best strategy to get the best rate of change in the PID for a manipulated variable, or is there a more elegant ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Smart building control has emerged as a critical enabler of energy efficiency, occupant comfort, and sustainable urban development. Advances in sensing ...
What neural activity in motor cortex represents and how it controls ongoing movement remain unclear. Suggestions that cortex generates low-level muscle control are discredited by correlations with ...
BACKGROUND: With the increasing diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) at earlier stages and new ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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