Neurotechnology has made great strides in the last 20 years. However, we still have a long
way to go to commercialize many of these technologies as we lack a unified framework to …

Introduction Brain-machine interfaces have reached an unprecedented capacity to measure
and drive activity in the brain, allowing restoration of impaired sensory, cognitive or motor …

Despite promising advancements, closed-loop neurostimulation for drug-resistant epilepsy
(DRE) still relies on manual tuning and produces variable outcomes, while automated …

Achieving precise attitude control in satellites equipped with two reaction wheels remains a
significant challenge. During the last decade, model predictive control has emerged as a …

Electrical neuromodulation as a palliative treatment has been increasingly used in the
control of epilepsy. However, current neuromodulations commonly implement …

Objective. Precise control of neural systems is essential to experimental investigations of
how the brain controls behavior and holds the potential for therapeutic manipulations to …

Abstract Model predictive control (MPC), with its unique features, has been widely used in
the industry. Model accuracy is an important issue in predictive controllers. Fractional-order …

Deep brain stimulation (DBS) is an effective clinical treatment for epilepsy. However, the
individualized setting and adaptive adjustment of DBS parameters are still facing great …

The control strategies based on the methodology known as Model–based Predictive Control
(MPC) have been developed and widely adopted to control real plants. This is mainly due to …

Epilepsy affects approximately 50 million people worldwide. Despite its prevalence, the
recurrence of seizures can be mitigated only 70% of the time through medication …