Stability and Reachability in Multivariable Control

Related lectures (32)

Page 3 of 4

Introduces the basics of multivariable control, focusing on system theory and linear systems.

Introduces the Nyquist criterion to determine system stability and covers BIBO stability and stability conditions.

Explores Lyapunov stability and Chebyshev inequalities in system analysis and control design.

Covers Lyapunov stability analysis, focusing on Lyapunov functions and stability criteria in robotic systems.

Explores one-dimensional maps, periodic solutions, and bifurcations in dynamical systems.

Covers mathematical modeling in chemistry and biology, including chemical reactions, enzymatic kinetics, and population dynamics.

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

Explores BIBO stability in feedback systems, covering criteria, Nyquist criterion, and system sampling impact.

Covers the general notions of stability in linear systems and the relationship between bounded inputs and bounded outputs.

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.