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Lecture
Optimal Control Theory
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Related lectures (33)
Stability of ODE
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Explores the stability of Ordinary Differential Equations, focusing on solution dependence, critical data, linearization, and control of nonlinear systems.
Control Theory Fundamentals
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Introduces control theory fundamentals, including controllability and invertibility of systems.
Optimal Control Theory: OCPs
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Covers Optimal Control Theory, focusing on Optimal Control Problems (OCPs) and the calculus of variations.
Controlled Stochastic Processes
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Explores controlled stochastic processes, focusing on analysis, behavior, and optimization, using dynamic programming to solve real-world problems.
Optimal Control: NMPC
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Covers Nonlinear Model Predictive Control (NMPC) principles, including setpoint stabilization and Pontryagin's Maximum Principle.
Safe Learning for Robotics
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Explores safe and data-efficient visual learning for robotics, covering control theory, perception systems, end-to-end learning, and expert policy.
Control Theory Fundamentals
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Covers the basic concepts of control theory and the selection of optimal controls.
Safe Learning for Robotics
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Covers safe learning for robotic systems, including safety assurances and control theory.
Linear Systems Control: Fundamentals and Applications
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Explores linear systems control fundamentals, controllability, and optimal control choices.
Optimal Control: OCPs
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Covers Optimal Control Problems focusing on necessary conditions, existence of optimal controls, and numerical solutions.
Signals and Systems: Introduction
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Introduces the fundamental concepts of Signals and Systems course, emphasizing practical applications of system behavior analysis.
Digital Controller Design: Discrete-Time Models
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Covers digital controller design, discrete-time models, RST controller, pole placement, regulation, tracking, and time-domain performance.
Complex Integration and Cauchy's Theorem
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Discusses complex integration and Cauchy's theorem, focusing on integrals along curves in the complex plane.
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