This paper presents a novel visual-admittance-based model predictive control scheme to cope with the problem of vision/force and several constraints nuclear collaborative robotic visual servoing system. A visual-admittance considering desired image feature force command in space is proposed. Moreover, constraint (MPC) proposed cancel overshoot interaction for most cases by taking as MPC. Via ap...

In this work, we develop a machine-learning-based predictive control design for nonlinear parabolic partial differential equation (PDE) systems using process state measurement time-series data. First, the Karhunen-Loève expansion is used to derive dominant spatial empirical eigenfunctions of PDE system from Then, these are as basis functions within Galerkin's model reduction framework temporal ...