31. Introduction to control methods#
System behavior is treated in detailed in System Theory section. Control theory targets a desired behavior of the system, ensuring stability and performance (in terms of desired output, error, response velocity, input effort, robustness to noise and model uncertainty,…)
Table of contents
Frequency domain control of linear systems
State estimation and observer
Optimal control
System identification
Features
Domain.
Frequency domain for linear systems: root locus, Nyquist criterion and Bode criteria,…
Time domain: optimal control, robust optimal control,…
Full-state, partial-state feedback.
Full-state feedback: the complete state of the system can be observed and used for the feedback
Partial-state feedback
Observers, e.g. Kalman filter, tries to estimate the state of a system from its output. Later, this estimatio can be used for feedback.
Model-based/model-free control.