Robust multi‐objective model predictive control for constrained nonlinear systems with disturbances

Abstract This work develops a new robust multi‐objective model predictive control (MoMPC) strategy for constrained non‐linear systems with bounded disturbances. The multiple objectives are always contradictory, and the presence of disturbances may result in violation state constraints instability controlled system. Firstly, conflict between is reconciled by minimizing distance cost function vector to independently minimised obtained solving set steady‐state optimisation problems. Then contractive set, which takes into account effect on system states, constructed guarantee satisfaction constraints. Finally, stability constraint updated online an auxiliary optimization problem established ensure under MoMPC. An isothermal chemical reactor employed verify effectiveness controller proposed here.