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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.

Kalman Filtering: Applications in Control and Communication Systems

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.

Kalman Filter: State Space Models

Introduces the Kalman Filter for estimating the state of a dynamic system from noisy measurements, covering prediction, updating, and filtering steps.

Haptic_specialization

Covers advanced haptics topics including impedance control, EMG-based control, surgery feedback, and human impedance.

Kalman Filtering: Innovations and Predictions

Explores Kalman filtering theory, focusing on innovations, predictions, and practical applications in estimating vehicle position and velocity.

Multivariable Control: System Theory and Applications

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

Kalman Filter: Linearized vs Extended

Discusses the limitations of a linearized Kalman filter and introduces the extended Kalman filter.