Cybernetics Advanced 1: State-space
This training focuses on state-space representation as a powerful tool in modern control engineering. Participants learn how to map systems in state-space and process them using advanced analysis methods. Practical examples and exercises illustrate the advantages and typical application scenarios of this methodology.
Objectives and training content
Participants deepen their understanding of state-space representation of dynamic systems. After the training, they will be able to independently describe systems, evaluate controllability and observability in a well-founded manner, and design state regulators and state observers based on this.
Training content:
- Introduction to state-space representation
- Controllability and observability of systems
- Design of state controllers using pole assignment
- Design of state controllers according to Riccati
- Operating principle and layout of state observers
- Practical exercises with MATLAB and Simulink
Target audience
Prerequisites
Recommended follow-up training
Further information
Kontakt
Sabine Haegele
Trainings
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