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Lecture
State Representation and Controller Design
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Related lectures (32)
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Multivariable Control: Eigenvalue Assignment and Disturbance Estimation
Discusses closed-loop eigenvalue selection and disturbance impact in multivariable control systems.
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.
Feedback Control Systems: PID Regulator Synthesis
Explores closed-loop control systems, PID regulator design, and performance analysis.
StateSpace ControlDesign
Explores full state feedback control design, focusing on pole placement and linear state-feedback controller design for systems like a pendulum.
Linear Quadratic Regulator Example
Covers an example of computing a linear controller to minimize closed-loop performance.
Linear Quadratic Optimal Control: Theory and Applications
Explores Linear Quadratic optimal control theory, covering FH-LQ and IH-LQ problems and the importance of observability in control systems.
StateSpace Pole Locations
Discusses selecting pole locations in state-space control systems to meet time-domain specifications and minimize control effort.
Multivariable Control: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Stability and Sensitivity in Control Systems
Explores stability, sensitivity, tracking performance, and regulation error in control systems.
Nyquist Stability Criteria
Explains Nyquist stability criteria and loop shaping for system performance and robustness.
