Pontryagin maximum principle
E681627
The Pontryagin maximum principle is a fundamental result in optimal control theory that provides necessary conditions for an optimal control process by characterizing optimal trajectories via a Hamiltonian maximization condition.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Pontryagin maximum principle canonical | 2 |
| Pontryagin maximum principle in optimal control | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical theorem
ⓘ
result in optimal control theory ⓘ |
| alsoKnownAs |
PMP
NERFINISHED
ⓘ
Pontryagin’s maximum principle NERFINISHED ⓘ |
| appliesTo |
dynamical systems with control inputs
ⓘ
finite-horizon optimal control problems ⓘ problems with state constraints (in extended forms) ⓘ |
| assumes |
measurable controls
ⓘ
sufficient regularity of system dynamics ⓘ |
| characterizes |
optimal control processes
ⓘ
optimal trajectories ⓘ |
| developedBy |
Lev Pontryagin
NERFINISHED
ⓘ
Pontryagin’s school of control theory ⓘ |
| field |
applied mathematics
ⓘ
control theory ⓘ optimal control theory ⓘ |
| generalizes | classical variational principles to systems with controls ⓘ |
| hasFormulation |
continuous-time version
ⓘ
discrete-time analogues ⓘ |
| hasLimitation | provides necessary but not sufficient conditions for optimality ⓘ |
| historicalDevelopment | developed in the mid-20th century ⓘ |
| implies |
existence of an adjoint system
ⓘ
pointwise maximization of the Hamiltonian with respect to control ⓘ |
| influenced | modern optimal control theory ⓘ |
| involves |
boundary conditions
ⓘ
control constraints ⓘ state equations ⓘ switching functions ⓘ transversality conditions ⓘ |
| isFoundationFor | many numerical optimal control methods ⓘ |
| namedAfter | Lev Pontryagin NERFINISHED ⓘ |
| provides | necessary conditions for optimality ⓘ |
| relatesTo |
Euler–Lagrange equations
NERFINISHED
ⓘ
Hamilton–Jacobi–Bellman equation NERFINISHED ⓘ calculus of variations ⓘ dynamic programming ⓘ |
| typeOf | first-order necessary condition ⓘ |
| usedIn |
aerospace trajectory optimization
ⓘ
economics ⓘ engineering ⓘ resource management models ⓘ robotics ⓘ |
| usesConcept |
Hamiltonian function
ⓘ
Hamiltonian maximization condition ⓘ adjoint variables ⓘ costate equations ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Pontryagin maximum principle Description of subject: The Pontryagin maximum principle is a fundamental result in optimal control theory that provides necessary conditions for an optimal control process by characterizing optimal trajectories via a Hamiltonian maximization condition.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Pontryagin maximum principle in optimal control