Lectures related to Networked Control Systems: Stability and Analysis

Explores Z-transform analysis for discrete-time systems and transfer functions in control systems.

Networked Control Systems: Stability and Dropout Analysis

Explores the stability of Networked Control Systems under deterministic packet drops and the estimation of the maximal drop rate.

Linear Matrix Inequalities: Control Networks

Explores Linear Matrix Inequalities in networked control systems and analyzes control networks' basics and performance.

Networked Control Systems: Dropout and Stability Analysis

Explores the impact of packet dropouts on networked control system stability and analyzes methods to estimate maximal admissible drop rates.

Networked Control Systems: Protocol-induced Delays and Time-varying Sampling

Explores protocol-induced delays, time-varying sampling, wireless control networks, and system stability.

Quantization in Networked Control Systems

Delves into the impact of quantization on networked control systems, exploring stability, performance, and design trade-offs.

Networked Control Systems

Explores Networked Control Systems, addressing packet dropouts, network delays, stability, and control laws for system boundability.

State Space Control: Discrete Systems

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Sampling Theorem and Control Systems

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.

Compensation of Network-Induced Delays in Control Systems

Explores compensation of transmission delays in remote-control settings to ensure stability in networked control systems.

Networked Control Systems: Stability Analysis and Delay Compensation

Explores stability analysis and delay compensation in networked control systems, emphasizing the importance of compensating for known delays.

Control Systems: Stability and Gain Analysis

Explores the application of final value theorem and static gain in control systems.

Networked Control Systems: Stability Analysis and Estimation

Covers the analysis and estimation of stability in networked control systems, including the impact of sampling intervals and delays.

Model Reference Method: PID Regulator Design

Explores the Model Reference Method for designing PID regulators and cascade controllers for complex systems.

Stability and Sensitivity in Control Systems

Explores stability, sensitivity, tracking performance, and regulation error in control systems.

Time-Varying Consensus Algorithms

Explores time-varying consensus algorithms in networked control systems and the Laplacian matrix's role in achieving average consensus.

Discrete Systems Analysis: Z-Transform and System Properties

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Course Organization and Dynamics of Systems Control

Covers course organization, system control, dynamics, artificial intelligence, water cycles, and sea currents.

Disturbance Rejection with P Controller

Explains disturbance rejection using a P controller and its impact on system stability.

Stability of Networked Control Systems

Explores the stability analysis of Networked Control Systems under stochastic packet dropouts, emphasizing mean-square stability and practical implications.