State-space representation

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Related lectures (32)

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Multivariable Control: System Theory and Applications

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

Observability and Governability

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

Linearization Method: Examples

Covers the linearization method through two examples in process control.

StateSpace Pole Locations

Discusses selecting pole locations in state-space control systems to meet time-domain specifications and minimize control effort.

Balanced Realization: SISO Case

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

Multivariable Control: Eigenvalue Assignment and Ackermann's Formula

Explores control problems, eigenvalue assignment, and canonical controllability form for single-input systems.

Multivariable Control: State-Feedback and Eigenvalue Assignment

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

StateSpace ControlDesign

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

Introduction to Multivariable Control

Covers the basics of multivariable control, including system modeling, temperature control, and optimal strategies, emphasizing the importance of considering all inputs and outputs simultaneously.

State Representation and System Dynamics

Covers the representation of state-space models and system dynamics.