Phase Plane Analysis

Related lectures (31)

Page 3 of 4

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Covers iterative methods for solving linear systems, including Jacobi and Gauss-Seidel methods.

Covers system theory, classic feedback control, and applications in green building and natural gas refrigeration plants.

Explores harmonic forms on Riemann surfaces and the uniqueness of solutions to harmonic equations.

Covers the design of SISO polynomial controllers using concepts such as the Sylvester matrix and model matching.

Introduces the Jacobi method for solving linear systems and determining convergence.

Explores linear systems, Cholesky factorization, LU factorization, and matrix precision.

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

Covers the Laplace transform basics, including examples of complex-valued poles and its application to LTI systems.

Covers the resolution of linear systems using the Gauss method to determine unique, infinite, or no solutions.