Control Systems Development
Certificate Course - Mobility Systems Engineering - MSE.2.1.I26
| Date | Feb 22 - 23, 2027 |
| Duration | 2 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | upon request |
| Cost | 1,550€ |
Fundamentals
Understand systems theory, process automation, cyber-physical systems, and fundamentals of dynamic system analysis and control.
Technology
Use MATLAB/Simulink for system simulation and apply model-based and signal-based methods for analyzing and designing control systems.
Applications
Design and evaluate controllers for practical automation systems using model-based methods, feedback control, and dynamic system models.
What you'll explore
- Explore fundamentals of systems theory and process automation
- Understand levels of automation up to cyber-physical systems
- Learn signal flow diagrams, frequency response, and root locus methods
- Study model-based control system development approaches
- Learn basics of MATLAB/Simulink for system simulation
- Analyze dynamic systems using mathematical and graphical tools
- Compare signal-based and model-based control design methods
- Apply controller design methods to practical engineering examples
Your key takeaways
- Understanding of systems theory and process automation fundamentals
- Ability to model and analyze dynamic systems
- Knowledge of cyber-physical systems and automation levels
- Skills in MATLAB/Simulink-based simulation
- Competence in signal flow, frequency, and control analysis methods
- Ability to design basic controllers using model-based approaches
- Practical Understanding of control system design and evaluation
Taught by recognized experts in Control Systems Development
Benefit from the knowledge of leading specialists with extensive experience in research and industry. Their deep expertise guarantees a course of outstanding academic and practical quality.
Prof. Dr.- Ing. Sören Hohmann
Prof. Dr.-Ing. Sören Hohmann is Director and Head of the Institute of Control and Systems Engineering at Karlsruhe Institute of Technology (KIT). His work focuses on control theory, cyber-physical systems, and dynamic system optimization, bridging advanced theoretical methods with real-world engineering applications. After earning his PhD in nonlinear discrete-time control, he held leadership roles at BMW in active safety system development before joining KIT in 2010. Today, he leads interdisciplinary research and teaching in mechatronic systems, automation, and human–machine interaction, shaping next-generation intelligent control technologies.
Prof. Dr.-Ing. Mike Barth
Prof. Dr.-Ing. Mike Barth is Professor for Networked Secure Automation at KIT’s Institute of Control Systems (IRS). His research focuses on Industry 4.0, cyber-physical systems and model-based automation. Previously Professor at Pforzheim University, he developed blended-learning concepts, digital engineering labs and a master’s program in mechatronic systems with industry collaboration. Earlier he worked at ABB Research and earned his PhD on automatic generation of simulation models for control system testing. He contributes to international automation and control engineering committees.
Who should attend
This course is particularly beneficial for professionals in the following fields
- Mobility systems and automotive engineering professionals Engineers working on embedded systems, vehicle electronics, autonomous driving, and mobility technologies, focusing on system design, integration, and validation.
- Embedded systems and systems engineering specialists
Developers and engineers involved in model-based design, hardware/software co-design, real-time systems, and safety-critical electronic control systems. - Software, control, and simulation engineers in mobility applications
Professionals working with simulation, modeling, hardware-in-the-loop testing, and rapid control prototyping for complex technical systems. - Data, AI, and digital engineering specialists in mobility
Engineers and scientists applying data-driven methods, optimization, and computational tools to automotive and mobility system development. - Researchers and early-career academics
Master’s students, PhD candidates, and researchers in engineering, computer science, or mobility systems focusing on embedded systems, system architecture, and model-based engineering.
Advance your career with KIT-level expertise
Benefit from the reputation of the Karlsruhe Institute of Technology (KIT) while gaining practical skills, flexible learning opportunities, and a recognized certificate to support your long-term professional growth
Flexibility
Gain focused expertise in a specific field without committing to a full degree program, allowing you to build relevant knowledge efficiently and integrate learning seamlessly into your professional routine
Relevance
Benefit from high-quality academic content combined with practical insights, delivered by experienced experts, supporting continuous, lifelong learning while ensuring direct applicability in real-world scenarios.
Advancement
Enhance your professional profile with a recognized certificate, demonstrating your commitment to ongoing development and supporting your career with tangible, verifiable credentials.
About HECTOR School
HECTOR School, the Technology Business School of the Karlsruhe Institute of Technology (KIT), is a leading provider of executive education in technology-driven fields.
For this course, participants who successfully complete the examination can earn a KIT certificate with ECTS credits, which may be credited toward our Executive Master of Science or Advanced Studies Programs, subject to content alignment.