Control Theory Fundamentals

Related lectures (30)

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Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.

Covers the reduction of complex systems to linear situations and controllability conditions.

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Covers the concept of balanced realization in the SISO case, focusing on system observability and controllability.

Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.

Covers fault simulation, testability analysis, and fault list generation in VLSI systems.

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

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

Explores symmetric matrices, diagonalization, and quadratic forms properties.