Control Engineering at IgMin Research | Engineering Group

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.


Control Engineering is a pivotal field within engineering that focuses on designing, analyzing, and implementing systems to maintain desired behaviors in dynamic environments. At IgMin Research, we delve into the intricacies of Control Engineering, exploring its various facets and applications.

Control Engineering lies at the heart of modern technology, enabling us to regulate processes, systems, and devices to achieve specific goals. From manufacturing processes to autonomous vehicles, from robotics to energy systems, control engineering plays a critical role in optimizing efficiency, accuracy, and functionality. Our dedicated team of researchers and experts brings you cutting-edge insights into this discipline.

In a rapidly evolving technological landscape, Control Engineering faces new challenges and opportunities. Our articles encompass a wide spectrum of topics, including classical control theory, digital control systems, adaptive and robust control, process control, automation, and more. We aim to bridge the gap between theory and application, fostering a deeper understanding of how control engineering shapes the world around us.

  • Classical control theory
  • Digital control systems
  • Adaptive control
  • Robust control
  • Process control
  • Automation and robotics
  • Control of renewable energy systems
  • Flight control systems
  • Industrial automation
  • Nonlinear control
  • Optimal control
  • Intelligent control
  • Mechatronics
  • Networked control systems
  • Control applications in biomedical engineering
  • Control in chemical processes
  • Control in electrical power systems
  • Control in manufacturing processes
  • Control in automotive systems
  • Control in aerospace systems
  • Control in telecommunications
  • Control in sustainable infrastructure
  • Control in environmental systems
  • Human-machine interaction in control systems
  • Control education and pedagogy