Concept
State observer
Related lectures (28)
Multivariable Control: State Estimation and Kalman Filtering
Explores state estimation and Kalman filtering for multivariable control systems, with applications in communication channels and vehicle navigation.
State Observers and Output-Feedback Controllers
Covers the design and implementation of state observers and output-feedback controllers in multivariable control systems.
Luenberger Observers: Separation Principle
Explores Luenberger observers in multivariable control systems, emphasizing observer stability, separation principle, and filter design.
Polynomial Division Approach & Observer Control
Covers the RST approach using polynomial division for system adjustment.
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.
Steady-state Kalman Predictor: Examples and Comparison
Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.
Multivariable Control: Observers and Controllers
Covers the design of reduced-order observers and output feedback controllers in multivariable control systems.
Multivariable Control: Design and Analysis
Explores integral control, disturbance estimation, controller design, and observer design 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.
Kalman Filter: Linearized vs Extended
Explores the linearized and extended Kalman Filters, illustrating their application in nonlinear systems and the estimation of unknown parameters.