An introduction to mathematical optimal control theory (version 0.2)
Este escrito se enfoca en presentar los fundamentos de la teora̕ de control a travš de un enfoque marcadamente matemt̀ico. Est ̀compuesto por los siguientes capt̕ulos:Introduction. The basic problem; some examples; a geometric solution; overview.Controllability, bang-bang principle. Definitions; qu...
সংরক্ষণ করুন:
| অন্যান্য লেখক: | , |
|---|---|
| বিন্যাস: | গ্রন্থ |
| ভাষা: | ইংরেজি |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | An introduction to mathematical optimal control theory (version 0.2) |
| ট্যাগগুলো: |
ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
|
| সংক্ষিপ্ত: | Este escrito se enfoca en presentar los fundamentos de la teora̕ de control a travš de un enfoque marcadamente matemt̀ico. Est ̀compuesto por los siguientes capt̕ulos:Introduction. The basic problem; some examples; a geometric solution; overview.Controllability, bang-bang principle. Definitions; quick review of linear ODE; controllability of linear equations; observability; bang-bang principle; references.Linear time-optimal control. Existence of time-optimal controls; the Maximum Principle for linear time-optimal control; examples; references.The Pontryagin Maximum Principle. Calculus of variations, Hamiltonian dynamics; review of Lagrange multipliers; statement of Pontryagin Maximum Principle; applications and examples; Maximum Principle with transversality conditions; more applications; Maximum Principle with state constraints; more applications; references.Dynamic programming. Derivation of Bellman<U+0092>s PDE; examples; relationship with Pontryagin Maximum Principle; references.Game theory. Definitions; dynamic programming; games and the Pontryagin Maximum Principle; application: war of attrition and attack; references.Introduction to stochastic control theory. Introduction and motivation; review of probability theory, Brownian motion; stochastic differential equations; stochastic calculus, It ̥chain rule; dynamic programming; application: optimal portfolio selection; references.Appendix: Proofs of the Pontryagin Maximum Principle. An informal derivation; simple control variations; free endpoint problem, no running payoff; free endpoint problem with running payoffs; multiple control variations; fixed endpoint problem; references.Exercises References |
|---|