Anders Rantzer

Anders Rantzer is a Professor of Automatic Control at the Department of Control Engineering, Faculty of Engineering, Lund University, Sweden. He has held visiting positions at Caltech (2004–2005) and the University of Minnesota (2015–2016) as the Taylor Family Distinguished Visiting Professor. His academic journey began with a PhD from KTH Stockholm in 1991, followed by a postdoc at the Institute for Mathematics and its Applications (IMA), University of Minnesota.

His research interests center on modeling, analysis, and synthesis of control systems, with a strong focus on scalability, adaptation, and applications in energy networks. He is particularly known for foundational work in positive systems and integral quadratic constraints (IQCs). These theoretical frameworks are critical in analyzing stability and robustness of large-scale interconnected systems. His work bridges mathematical rigor with practical engineering applications, especially in sustainable energy and networked systems.

The recent publications and lecture materials reflect a consistent trajectory in scalable and robust control, optimization, and distributed systems. Themes such as large-scale convex optimization, nonlinear and stochastic control, and network dynamics dominate his scholarly output, indicating a sustained commitment to advancing control theory for complex, real-world systems.

Scientific honors include:

• Fellow of IEEE
• Member of the Royal Swedish Academy of Engineering Sciences (IVA)
• Chairman of the Swedish Scientific Council for Natural and Engineering Sciences
• Chairman of the Royal Physiographic Society of Lund

Rantzer has supervised numerous students and contributed extensively to academic leadership and education. He has been involved in major national and international research initiatives such as WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIIT. His work includes developing educational tools and courses in control, optimization, and machine learning. He leads and contributes to research projects on autonomous systems, cloud control, and smart energy networks.

He is affiliated with the Control Lab at LTH and participates in collaborative efforts such as the Nordic University Hub on Industrial Internet of Things (HI2OT). His work integrates theoretical advances with practical implementations in robotics, biomedical systems, and industrial automation.