Lecture
Experimental Model Identification
Related lectures (31)
State Space Control: Discrete Systems
Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.
Data-Driven Control: Applications and Methods
Covers Data-Driven Control methods and applications in various fields, emphasizing robustness and performance.
Control Systems: SynthesisMOOC: Control Systems
Explores speed controller synthesis by imposing a model to be followed.
Computation of T
Covers the computation of tracking performance and transfer functions in digital control systems.
Loop Shaping: Controller DesignMOOC: Control Systems
Covers the design of controllers using loop shaping techniques for position control.
Digital Controller Design: Pole Placement Technique
Covers digital controller design, focusing on discrete-time models and the pole placement technique.
Effects of Poles and Zeros on System Response
Explores the effects of poles and zeros on system response and the importance of system modeling and control strategies.
Modeling Dynamic Systems: Definitions and Examples
Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.
Passivity, Stability and Circle Criterion
Explores passivity, stability, and circle criterion in control systems, emphasizing system behavior and design considerations.
Digital Controller Design: Discrete-Time Models
Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.