Recently, robust funnel Model Predictive Control (MPC) was introduced, which consists of
model-based funnel MPC and model-free funnel control for its robustification wrt model-plant …

In this paper, we propose a model predictive control (MPC) that accomplishes interactive
robotic tasks, in which multiple contacts may occur at unknown locations. To address such …

This position paper explores the integration of Artificial Intelligence (AI) into force-controlled
robotic tasks within the scope of advanced manufacturing, a cornerstone of Industry 4.0. AI's …

In this paper, a novel control strategy is proposed to deal with the coupled output constraints
of the robotic system. A transformation matrix is designed to decouple the relations of the …

In this chapter, the application of machine learning (ML) in various engineering domains has
ushered in transformative advancements, offering solutions to intricate problems and paving …

In industrial settings, robotic tasks often require interaction with various objects,
necessitating compliant manipulation to prevent damage while accurately tracking reference …

The appealing design known as T-type three-level quasi-Z-source inverters (T2LQZSI) can
function in both step-down and step-up modes. Model predictive control for converters has …

In this paper, we delve into the intricate problem of lateral control in autonomous vehicles,
utilizing adaptive event triggering, dynamic quantizers, and incorporating stochastic …

Abstract Recently, robust funnel Model Predictive Control (MPC) was introduced, which
consists of model-based funnel MPC and model-free funnel control for its robustification wrt …