Abstract
In this work, two novel Lyapunov-based model predictive control (LMPC) designs that can ensure process operational safety (termed safety-LMPC) are presented. The two LMPC designs can drive the closed-loop state to a safety region (a level set within the stability region where process operational safety is ensured) at a prescribed rate, and also can drive the closed-loop state to a safe level set within the stability region of another steady-state. To demonstrate the effectiveness of the proposed schemes, a comparison between the safety-LMPC, which effectively integrates feedback control and safety considerations, and the classical LMPC method is presented with a chemical process example. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.