Systems theory; control Concept
Control system
Summary
A control system is a dynamical system whose evolution depends on an input that can be chosen, the control. For systems governed by ordinary differential equations it has the form , where is the state and is the control. It is the basic object of control theory. That theory asks which states can be reached, how to steer the system, and how to do so in the best way.
Where this leads
25 pages build on this one.
- Mayer and Lagrange problems
- Pontryagin's maximum principle
- Bolza problem
- Kalman rank condition
- Value function
- Hamilton–Jacobi–Bellman equation
- Feedback linearization
- Hamiltonian of an optimal control problem
- Goddard problem
- Zermelo's navigation problem
- Singular control
- Trajectory optimization
- Indirect method by shooting
- Bang–bang control
- Fuller's phenomenon
- Model predictive control
- Relaxed control
- Costate equation
- Verification theorem
- Differential game
- Sub-Riemannian geodesic problem
- Filippov's existence theorem
- Observability
- Controllability
- Time-optimal control
Further reading
About this page
| Tag | ZPDTVZQN5K |
|---|---|
| URI | m2://ZPDTVZQN5K |
| Kind | concept |
| Writing | W0 stub |
| MSC | 93C15, 34H05, 93C10 |
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Used by
- Mayer and Lagrange problems
- Pontryagin's maximum principle
- Bolza problem
- Kalman rank condition
- Value function
- Hamilton–Jacobi–Bellman equation
- Feedback linearization
- Hamiltonian of an optimal control problem
- Singular control
- Trajectory optimization
- Bang–bang control
- Model predictive control
- Relaxed control
- Costate equation
- Verification theorem
- Differential game
- Filippov's existence theorem
- Observability
- Controllability
- Time-optimal control