StateSpace Reference Tracking

Related lectures (31)

Page 3 of 4

Introduces multivariable control, covering system theory, linear systems, and time discretization.

Provides a recap on frequency methods for designing PD controllers for systems.

Covers the computation of tracking performance and transfer functions in digital control systems.

Explores the impact of P, D, and I parameters on control systems in robotics.

Discusses selecting pole locations in state-space control systems to meet time-domain specifications and minimize control effort.

Explores multivariable control, optimal laws, and system stability theorems, emphasizing the importance of observability.

Covers the structure theorem for state-space representations and companion forms.

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.

Explores the impact of P, D, and I parameters on robotics control, including gains, encoders, tuning PID parameters, and control strategies.

Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.