Proportional Integral Control: Theory and Application

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Related lectures (32)

Bode Diagram Synthesis

Covers the synthesis in the Bode diagram, dynamic controls, and the link between the Bode and Nyquist diagrams.

Non-linear Control: Stability Analysis

Explores linearization, state representations, and stability analysis using Lyapunov theory and zero dynamics.

Quantization and Data-rate Limitations

Delves into the impact of quantization and data-rate limitations on networked control systems.

Mini-segway: Control of Position

Covers stability, control loops, PID schemes, motor encoders, and communication aspects in the context of the mini-segway project.

Quantization in Networked Control Systems

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

Steady-State Errors and System Response

Explains steady-state offset, system types, and integrator impact on stability.

Stability of ODE Log in to Mediaspace to watch this video

Explores the stability of Ordinary Differential Equations, focusing on solution dependence, critical data, linearization, and control of nonlinear systems.

Nonlinear Model Predictive Control Log in to Mediaspace to watch this video

Explores Nonlinear Model Predictive Control, covering stability, optimality, pitfalls, and examples.

Optimal Control: NMPC Log in to Mediaspace to watch this video

Covers Nonlinear Model Predictive Control (NMPC) principles, including setpoint stabilization and Pontryagin's Maximum Principle.

Performances of closed-loop systems Log in to Mediaspace to watch this video

Covers the performance of closed-loop systems, set-point tracking, disturbance rejection, and perfect control.

Stability Examples: Routh-Hurwitz Criterion Log in to Mediaspace to watch this video

Illustrates stability examples and the Routh-Hurwitz criterion for closed-loop systems.

Continuous-Time Stochastic Processes: Linear System Log in to Mediaspace to watch this video

Covers the analysis of continuous-time stochastic processes in the context of linear systems.

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