State-Space Representation: Basics & Transformations

Related lectures (30)

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

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

Covers the design of observers in control systems and the computation of state feedback controllers.

Explores full state feedback control design, focusing on pole placement and linear state-feedback controller design for systems like a pendulum.

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

Explores observability, governability, state regulators, and canonical forms in dynamic systems.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

Covers the basic concepts of control theory and the selection of optimal controls.

Covers the integration of control and estimation in dynamic systems.