In the development of a new power system dominated by green energy, green electricity has become a standardized commodity circulating nationwide through market mechanisms. The role of green ...

Chief Financial Officer Nick Keher outlined the company’s progress in expanding beyond its historically research-led revenue base, highlighting rapid growth in clinical and applied industrial end ...

Abstract: In this paper, a model predictive based minimum DC-link voltage control (MP-mDVC) method is proposed to enhance both the reliability and dynamic performance of grid-connected converters ...

Screening for gastric intestinal metaplasia (GIM) holds significant importance for the early detection of gastric cancer. To help clinicians identify high-risk GIM patients and determine the timing of ...

ACA Research Group, Faculty of Business Studies, University of Vaasa, Vaasa, Finland. The content of this paper is divided into four short sections. In the first section, the motivation and content of ...

Abstract: In this paper, an iterative learning model predictive control algorithm based on state -space model is studied for multiple input multiple output systems with pure delay, and the effect of ...

Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

The air conditioner compressor motor driver as shown in Fig.1 utilizes advanced model-free predictive control technology, ensuring efficient and stable operation under varying load conditions.