• Linearity, linear independence, vector spaces, norms
  • Gaussian Elimination, LU and PTLU factorizations, Fundamental Subspaces
  • Projections, Least Square and Minimum Norm Solutions
  • State-Space Descriptions of Dynamical Systems, Canonical Forms
  • Eigenvalues and Eigenvectors, Similarity Transformations
  • Jordan Form
  • State Transition Matrix
  • Singular Value Decomposition
  • Method of the Transfer Function, Transmission Zeros
  • Controllability and Observability
  • State-Feedback, State-Observers
  • Model Based Compensators
  • Linear Quadratic Regulators
  • Linear Quadratic Gaussian and Loop Transfer Recovery