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Kanuni Kuu ya Pontryagin×Mlinganyo wa Hamilton-Jacobi-Bellman×
NyanjaNadharia ya UdhibitiNadharia ya Udhibiti
FamiliaMachine learningMachine learning
Mwaka wa asili19621957
MwanzilishiLev PontryaginRichard Bellman
Ainaalgorithmalgorithm
Chanzo asiliaPontryagin, L. S., Boltyanskii, V. G., Gamkrelidze, R. V., & Mischenko, E. F. (1962). The Mathematical Theory of Optimal Processes. John Wiley & Sons. link ↗Bellman, R. (1957). Dynamic Programming. Princeton University Press. link ↗
Majina mbadalaPMP, Optimal Control, Costate MethodHJB Equation, Bellman Equation, Dynamic Programming
Zinazohusiana33
MuhtasariThe Pontryagin Maximum Principle (PMP) is a fundamental theorem in optimal control theory providing necessary conditions for optimality of a control trajectory. Published by Lev Pontryagin in 1962, PMP generalizes the calculus of variations to control problems with constraints and is the theoretical foundation enabling solution of complex trajectory optimization problems from spacecraft missions to industrial process optimization.The Hamilton-Jacobi-Bellman (HJB) equation is a partial differential equation characterizing the optimal cost-to-go function in dynamic programming. Developed by Bellman in 1957, HJB provides both necessary and sufficient conditions for optimality, enabling elegant theoretical analysis and numerical solutions for optimal control problems. HJB is fundamental to reinforcement learning, approximate dynamic programming, and real-time control.
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ScholarGateLinganisha mbinu: Pontryagin Maximum Principle · Hamilton-Jacobi-Bellman Equation. Imepatikana 2026-06-20 kutoka https://scholargate.app/sw/compare