Abstract: This study addresses the self-balancing control problem for a Reconfigurable Unmanned Ground Vehicle (RUGV) during high-precision docking process in complex environments. Constrained by ...
Abstract: This paper proposes a novel tube-based geometric model predictive control (GMPC) framework on Lie groups for robust and real-time trajectory tracking control of robot manipulators under ...
Model Predictive Control (MPC) has emerged as a leading strategy in advanced process control, offering the ability to anticipate future process behaviour and manage constraints in dynamic systems.
Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...
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Neural network helps micro-robots fly like an insect
MIT engineers reveal an insect-scale flying robot that can perform rapid, agile maneuvers - matching key aspects of insect flight - by using a neural-network controller distilled from a robust control ...
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