Develop mathematical models of dynamic systems using system identification techniques, exploring both continuous-time and discrete-time representations.
Apply digital signal processing techniques to filter sensor noise, reject outliers, and enhance data quality to support robust control performance.
Design and tune PID control algorithms using the developed system models and filtered data, and implement the controller in hardware to meet a defined set of performance requirements.
If you're interested in contributing to the development of this section by adding further control methods (e.g., state-space techniques or Model Predictive Control), please get in touch.