Dynamic Programming: Optimal Control

Related lectures (32)

Covers the principles of feedback control systems and their applications in various fields.

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

Explores asset selling dynamics, optimal revenue policy, acceptance thresholds, and commodity price impact.

Covers optimal stopping problems in applied probability and stochastic processes, focusing on theory and practical applications.

Explores state-space representation, controllability, observability, and regulator calculation using the Ackermann method.

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

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

Discusses asset selling problems and optimal selling policies based on market conditions and termination states.

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

Covers recursion, dynamic programming, and algorithm design using divide and conquer strategies.

Explores controlled stochastic processes, dynamic programming, and the Machine Replacement Problem.

Explores the design and optimization of car suspensions for improved performance.

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