In the mid‐1950s, Pontryagin et al. published a principle that became a fundamental
concept in optimal control (OC) theory. The principle provides theoretical and practical …

Despite increasing incentives, the practice of separating process design and control tasks
remains prevalent. Current integrated approaches, when coupled with controller design …

We present a dynamic risk-based process design and multi-parametric model predictive
control optimization approach for real-time process safety management in chemical process …

To promote the efficiency and economy of wastewater treatment process (WWTP), a novel
data-driven robust adaptive dynamic programming (RADP) algorithm is proposed to balance …

The use of nonlinear model predictive control (NMPC) for the integration of design and
control remains as an open area of research. When NMPC is incorporated into the …

Flexible synthesis and control which can be both used to reduce the influences of
disturbances on heat exchanger networks are often considered as two separate issues …

Used water treatment plays a pivotal role in advancing environmental sustainability.
Economic model predictive control holds the promise of enhancing the overall operational …

A new back-off methodology is presented to address mixed integer dynamic optimization
(MIDO) formulations that arise from modeling the integration of scheduling and control of …

In this article, we address the integration of design and nonlinear model‐based control
under uncertainty and structural decisions for naturally ordered structures. We propose an …

For many practical industrial objects with time-varying operating points, strong nonlinearity,
and difficulty in obtaining analytical models, the data-driven identification method is usually …