Fischer

Professor Fischer is a researcher specializing in control systems and fault diagnosis, focusing on distributed-parameter systems, integral transformations, and trajectory planning methods. His work bridges theoretical advancements with practical applications in engineering disciplines. He has supervised numerous PhD graduates, including Johannes Pfeiffer (2023), Carmen Sippel (2023), Zaid Dhannoon (2022), and others, many of whom entered academia or industry roles post-graduation.

• Research Interests: Fault detection in hyperbolic/parabolic systems, modulating functions, backstepping control, and MATLAB toolbox development for control problems.
• Recent Trends: Emphasis on algebraic methods for fault diagnosis, with contributions to structural health monitoring (e.g., Euler-Bernoulli beam analysis) and time-varying hyperbolic systems.

His publications since 2016 highlight advancements in fault detection for parabolic and distributed systems, with a 2021 paper introducing the coni MATLAB toolbox for control problem solutions.

Advising:

• 8 PhD graduates listed, with graduation dates ranging from 2016 to 2023.
• Notable first employments include academic and industrial R&D positions.