This brief investigates the output tracking control problem of cyber-physical systems with
model uncertainty and random communication constraints. An event-triggered networked …

This paper presents a Generalised Dynamic Matrix Control (GDMC) algorithm that can be
used to control open-loop unstable processes. In contrast to the Dynamic Matrix Control …

In model-based strategies, such as real-time optimization (RTO) and model predictive
control (MPC), the process model plays an important role. However, model-plant mismatch …

This article addresses the plant-model mismatch detection problem for linear multiple-input
and multiple-output systems operating under the constrained dynamic matrix control (DMC) …

Updating the process model remains an important concern in practical implementations of
Model Predictive Control (MPC). This work introduces a novel stochastic model predictive …

Koopman operator with numerical approximation method for modelling nonlinear systems
has become a popular data-driven approach in the past five years. However, when the …

The assessment and diagnosis of controller performance for model‐based closed‐loop
control systems has received considerable attention in recent years. A recognized factor …

Switching boundary is an integral part of the switched system, but the existing literature on
switched systems does not focus on the system under switching boundary mismatch. In this …

Models are the key to model-based control strategies. However, due to the nonlinear and
time-varying nature of industrial processes, plant–model mismatches are inevitable …

This articles investigates two different techniques of identifying model-plant mismatch for a
grinding mill circuit under model predictive control. A previous attempt at model-plant …