Nonlinear Model Predictive Control

Related lectures (32)

Page 3 of 4

Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.

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

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

Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.

Covers Optimal Control Problems focusing on necessary conditions, existence of optimal controls, and numerical solutions.

Explores closed-loop control systems, PID regulator design, and performance analysis.

Covers BIBO stability, Lyapunov stability, state feedback, and eigenvalue assignment.

Explores system identification, stability criteria, and challenges in stabilizing cameras on moving platforms.

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