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Lecture
Optimal Control: Convergence and Conditions
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Related lectures (31)
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Nonlinear Programming: Part I
Covers the fundamentals of Nonlinear Programming and its applications in Optimal Control, exploring techniques, examples, optimality definitions, and necessary conditions.
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Covers the analysis of stationary points in functions, focusing on optimization methods.
High Order Methods: Space Discretisation
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Calculus of Variations and Euler's Elastica
Covers variational methods, equilibrium shapes, Euler's Elastica, and numerical and analytical methods for solving Euler's Elastica.
Optimal Control: OCPs
Covers Optimal Control Problems focusing on necessary conditions, existence of optimal controls, and numerical solutions.
Optimization with Constraints: KKT Conditions
Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.
Optimization with Lagrange Multipliers
Covers advanced optimization techniques using Lagrange multipliers to find extrema of functions subject to constraints.
Controllability and Reachability
Explores reachability and controllability in multivariable control systems, discussing tests, proofs, and their implications.
Extremum of a Function: Constraints
Explores extremum of a function under constraints and finding candidate points in practice.
