Autonomous electric vehicles require precise coordination between motor torque control and vehicle trajectory tracking. However, permanent magnet synchronous motors (PMSMs) exhibit nonlinear ...

Project Bonsai code sample demonstrating chemical process optimization in a continuous stirred tank reactor (CSTR). Efficient control of an exothermic, non-linear chemical reaction with a CSTR is a ...

This Matlab toolbox automatically generates solvers for model predictive controllers (MPC) in different programming languages. We support various MPC formulations, providing solvers based on first ...

A long-standing debate in cognitive science and neuroscience concerns whether mechanisms for information processing in the human brain are domain-specific—comprising multiple systems specialized to ...

In the domain of industrial automation, Programmable Logic Controllers (PLCs) constitute the foundation for executing deterministic control over multifaceted processes, spanning manufacturing, energy ...

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Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.

Abstract: As the demand for individualized products increases, there is a need for advanced control at the supervisory level, where model predictive control (MPC) becomes an established solution in ...

This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force control and several constraints of a nuclear collaborative robotic visual ...

The increasing number of newborns has stimulated the infant market. In particular, the baby stroller, serving as an important life partner for both babies and parents, has attracted more attention ...

Understanding how cognitive functions emerge from brain structure depends on quantifying how discrete regions are integrated within the broader cortical landscape. Recent work established that ...