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.
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
Development engineers, mathematicians, and scientists with prior knowledge of control engineering who want to expand their knowledge in a targeted manner.
Prerequisites
Basic knowledge of MATLAB and Simulink is required, as the exercises are carried out using these tools. In addition, a basic understanding of control engineering is required.
We offer this training as a customized training course. There are currently no fixed dates for individual registrations. We would be happy to provide you with a customized offer for your company.
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Contact us with any questions or for an individual quote.
