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Control Engineering 3
  • Lectures
    • Control Engineering 1
    • Control Engineering 2
    • Control Engineering 3
    • Automation Engineering
    • AI Engineering 2
    • AI Engineering 3
    • Simulation of mechatronic systems
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Control Engineering 3

Qualification goals

After having successfully completed the lecture Control Engineering 3, students are able to understand control methods for embedded and networked systems, apply them for basic examples and are able to analyze and evaluate respective results. The students can specify and evaluate the aspects of stability and system structure in the contexts of constraints and communication. Moreover, they are able to select and synthesize methods for given applications. In addition, they are able to integrate methods in toolchains and apply them to simulated and real systems.

Content

  • Digital control, digitalization, zero order hold, practical Lyapunov functions
  • Practical stability, input-to-state stability, embedding, intersample behavior
  • Optimal control with constraints, predictive control, recursive feasibility, stability concepts
  • Distributed control, sequential and parallel structures, hierarchical structures, control barrier functions
  • AI based control, data driven models and optimization

Support

Prof. Dr. Jürgen Pannek
NFF 255
+49 531 391 66300
+49 176 21507108
j.pannek(at)tu-braunschweig.de
https://www.tu-braunschweig.de/itl/team/juergen-pannek
M. Sc. Arne Schulz
NFF - 232
+49 531 391 66335
arne.schulz(at)tu-braunschweig.de
https://www.tu-braunschweig.de/itl/team/arne-schulz
M. Sc. Moritz Vocht
NFF 257
+49 531 391 66323
moritz.vocht(at)tu-braunschweig.de

Lecture notes Control Engineering 3 - Modern Control Systems

  • Version WS 2025/26
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  • Version WS 2023/24
  • Version WS 2022/23
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