Lectures related to Observability

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

Delves into the observability of LTI systems, covering controllability, duality, and observability tests.

Explores observability and controllability in linear systems, emphasizing the significance of input decoupling for observability.

Duality and PBH Test in Multivariable Control

Explores duality, PBH test, observability, and exact discretization in multivariable control systems.

Multivariable Control: Stability and Lyapunov Theorems

Explores multivariable control, optimal laws, and system stability theorems, emphasizing the importance of observability.

Chaos Engineering: Advanced Principles

Covers advanced principles of Chaos Engineering, emphasizing risk management and minimizing user impact.

Eigenvalue Assignment in Multivariable Control

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

Multivariable Control: Design and Analysis

Explores integral control, disturbance estimation, controller design, and observer design in multivariable control systems.

Theory & Practice of Kalman Filter

Covers the theory and practice of Kalman Filter in Matlab.

Multivariable Control: Design and Analysis

Covers the design and analysis of multivariable control systems, focusing on stability and zero steady-state tracking error.

State-Space Representation: Structure Theorem

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

Exact and Approximate Sampling in Multivariable Control

Explores exact and approximate sampling in multivariable control systems, discussing stability, eigenvalues, and system properties.

Steady-state Kalman Predictor: Examples and Comparison

Discusses the steady-state Kalman predictor, provides examples, and compares Luenberger and Kalman filtering.

Built-In Self-Test (BIST): Techniques and Implementations

Explores Built-In Self-Test (BIST) techniques in VLSI systems, covering benefits, drawbacks, implementation details, and the use of Linear Feedback Shift Registers (LFSRs) for test pattern generation.

Multivariable Control: Weight Design and Stability Analysis

Explores weight design and stability analysis in multivariable control systems, emphasizing Lyapunov theory and LQR stability.

Observability and Governability

Explores observability, governability, state regulators, and canonical forms in dynamic systems.

Fault Simulation and Testability Analysis

Covers fault simulation, testability analysis, and fault list generation in VLSI systems.

State Observers Intro

Introduces state observers for estimating the state from input and output measurements.

State-Space Representation: Basics & Transformations

Covers the basics of state-space representation and explores transformations to different forms.

Stability: Poles, Zeros, and Control

Covers stability, poles, zeros, and control in dynamic systems, emphasizing the importance of observability.