Lantian Zhang

Lantian Zhang is a postdoctoral researcher at KTH Royal Institute of Technology's Department of Mathematics, working under Assistant Professor Silun Zhang since September 2024. He is affiliated with the Division of Numerical Analysis, Optimization and Systems Theory within the School of Engineering Sciences.

His research focuses on identification and adaptive control of nonlinear stochastic systems, adaptive estimation under quantized observations, and applications in machine learning. Dr. Zhang received his Ph.D. in systems theory from the Academy of Mathematics and Systems Science at the Chinese Academy of Sciences in 2024.

• Primary research area: Nonlinear stochastic systems and adaptive control
• Specialization: Quantized observations and binary-valued output systems
• Current projects: Advanced adaptive identification methods under saturated output constraints

His publication record shows a strong focus on adaptive identification techniques under challenging observation conditions, with multiple papers published between 2022-2025 addressing saturated output observations, non-iid data, and binary-valued output systems. This research has applications in both theoretical control systems and practical implementations where measurement constraints exist.

Dr. Zhang is part of the research group led by Assistant Professor Silun Zhang, which also includes other postdocs and PhD students working on related topics in networked systems and control theory. His work contributes to KTH's broader research initiatives in WASP (Wallenberg AI, Autonomous Systems and Software Program) and Digital Futures.