Control theory

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Related lectures (32)

Page 3 of 4

State-Space Representation: Structure Theorem

Covers the structure theorem for state-space representations and companion forms.

Digital Controller Design: Pole Placement Technique

Covers digital controller design, focusing on discrete-time models and the pole placement technique.

Multivariable Control: State-Feedback and Eigenvalue Assignment

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

Nyquist Stability Criteria

Explains Nyquist stability criteria and loop shaping for system performance and robustness.

Multivariable Control: Reduced-Order Observers

Focuses on designing reduced-order observers in multivariable control systems, emphasizing the importance of observers and eigenvalue assignment in controller design.

Controlled Stochastic Processes

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

Data-Driven Control: Applications and Methods

Covers Data-Driven Control methods and applications in various fields, emphasizing robustness and performance.

Observability in Multivariable Control

Explores observability in multivariable control systems and the PBH test for system reachability.

Motor Intelligence for Soft Robots

Explores the control challenge in soft robotic systems and the use of simplified models with nonlinear control theory for dynamic task execution.

Eigenvalue Assignment in Multivariable Control

Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.