Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:logic
|
| gptkbp:appliesTo |
gptkb:mathematics
economics engineering |
| gptkbp:developedBy |
1950s
|
| gptkbp:fieldOfStudy |
control theory
|
| gptkbp:focusesOn |
finding control laws for dynamical systems
|
| gptkbp:hasApplication |
gptkb:medicine
aerospace engineering economics finance manufacturing robotics biological systems energy systems process industries transportation systems |
| gptkbp:hasConcept |
constraints
feedback control bang-bang control closed-loop control control variable cost functional open-loop control singular control state variable |
| gptkbp:hasMethod |
gptkb:Kalman_filter
gptkb:Hamilton–Jacobi–Bellman_equation gptkb:Pontryagin's_maximum_principle gptkb:linear_quadratic_regulator dynamic programming stochastic control direct methods numerical optimization adaptive control model predictive control indirect methods optimal filtering robust control |
| https://www.w3.org/2000/01/rdf-schema#label |
optimal control theory
|
| gptkbp:notableFigure |
gptkb:Rufus_Isaacs
gptkb:Lev_Pontryagin gptkb:Richard_Bellman |
| gptkbp:relatedTo |
gptkb:Hamilton–Jacobi–Bellman_equation
gptkb:Pontryagin's_maximum_principle calculus of variations |
| gptkbp:usedFor |
process control
resource allocation trajectory optimization |
| gptkbp:bfsParent |
gptkb:Euler-Lagrange_equation
gptkb:L._C._Young |
| gptkbp:bfsLayer |
5
|