Lecture
Multivariable Control: Design and Analysis
Related lectures (42)
Multivariable Control: State-Feedback and Eigenvalue Assignment
Covers state-feedback controller design for multivariable systems and discusses simplified methods for MIMO systems.
Luenberger Observers: Separation Principle
Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.
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.
Infinite-Horizon LQ Control: Solution & Example
Explores Infinite-Horizon Linear Quadratic (LQ) optimal control, emphasizing solution methods and practical examples.
Computation of T
Covers the computation of tracking performance and transfer functions in digital control systems.
Eigenvalue Assignment in Multivariable Control
Explores Ackermann's formula and methods for eigenvalue assignment in multivariable control systems.
Multivariable Control: Stability and Lyapunov Theorems
Explores multivariable control, optimal laws, and system stability theorems, emphasizing the importance of observability.
Eigenvalue Assignment in Multivariable Control
Explores Eigenvalue Assignment in multivariable control, emphasizing the effects of discretization and the challenges in preserving system structure.
Designing PID Controllers with Ziegler-Nichols Method
Explores the Ziegler-Nichols method for PID controller design and manual tuning in industry.
Data-Driven Control: Applications and Methods
Covers Data-Driven Control methods and applications in various fields, emphasizing robustness and performance.