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Lecture
Kalman Filter: State Space Models
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Theory & Practice of Kalman Filter
Covers the theory and practice of Kalman Filter in Matlab.
Structural Modelling and the Kalman Filter: Time Series
Explores structural modelling in time series and introduces the Kalman filter for prediction and estimation.
Modeling Dynamic Systems: Definitions and Examples
Covers the modeling of dynamic systems, including definitions, examples, and linearization processes for easier analysis.
Dynamical Systems for Engineers
Covers the theoretical basis of linear and nonlinear dynamical systems for engineers.
Kalman Filter: Time Series
Covers structural modeling, state space models, and the Kalman filter in time series analysis.
Networked Control Systems: Fundamentals and Stability Analysis
Covers the fundamentals and stability analysis of Networked Control Systems, including software installation, dynamical systems, equilibrium states, and stability testing.
Image Processing Techniques
Covers image processing techniques including noise addition, filtering, and image enhancement using various filters and tools.
Control Systems Review: LTI Systems
Covers linear, causal, and time-invariant systems, with practical examples and MATLAB simulations.
Odometry and Sensor Fusion
Explores error sources in odometry, sensor fusion, feature-based localization, and the Kalman Filter algorithm.
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.