Multivariable Control: System Theory and Linear Systems

Related lectures (32)

Page 3 of 4

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.

Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.

Covers linear, causal, and time-invariant systems, with practical examples and MATLAB simulations.

Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.

Explores stability, reachability, and controllability in linear systems, emphasizing their significance in system analysis.

Covers controllability and observability in linear systems, discussing necessary conditions and implications of unimodular matrices.

Covers the principles of feedback control systems and their applications in various fields.

Covers the Laplace transform, transfer functions, and properties of common functions in dynamical systems.