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In [[control engineering]], '''open loop control''' is a control strategy in which the controller does not have access to signals which carry additional information about the current "state" of the plant (the object or system to be controlled) during the time that the controller is in operation. Here state roughly refers to a collection of dynamical variables of the plant which determine the plant's future evolution/trajectory given its future inputs.
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In open loop control the control law implemented by the controller at any time <math>t</math> is independent of the dynamical variables of the plant. In practice, this situation may arise in, for example, cases where it is not feasible or practical to extract any useful information from the plant that can be used for control purposes. In open loop control, in order to design the controller the control engineer would necessarily need to have a reasonably good model of the plant to be able to compute a control law which achieves the desired performance specifications. A major drawback of open loop control compared to closed-loop control is that deviations of the model from the true plant and presence of various exogenous disturbances may result in serious degradation of the performance of the overall control system (i.e. the plant with the controller attached). In this case it is said that open loop control systems lack [[robust control | robustness]].
In [[control engineering]], '''open loop control''' is a [[control system]] configuration in which the controller has no access to signals that contain information about the current "state" of the plant (the object or system to be controlled) during the time that the controller is in operation. Here state roughly refers to a collection of dynamical variables of the plant that determine the plant's future evolution/trajectory given its future inputs.  


A recent example of an open loop control strategy can be found in quantum control of [[spin systems|spin systems]] using pulsed [[nuclear magnetic resonance | NMR]] techniques [http://arxiv.org/abs/quant-ph/0404064].
In open loop control, the control law implemented by the controller at any time <math>t</math> is independent of the dynamical variables of the plant. In practice, this situation may arise in, for example, cases where it is not feasible or practical to extract any useful information from the plant that can be used for control purposes. In designing a controller for open loop control, the control engineer would need to have a good mathematical model of the plant to be able to derive a control law that achieves the desired performance specifications. A major drawback of open loop control compared to [[closed loop control]] is that deviations of the model from the true plant and the presence of various exogenous disturbances may result in serious degradation of the performance of the overall control system. In this case it is said that open loop control systems lack [[robust control | robustness]].


A more recent example of open loop control can be found in the quantum control of [[spin systems|spin systems]] using pulsed [[NMR spectroscopy]] techniques [http://arxiv.org/abs/quant-ph/0404064].


[[Category:Engineering_Workgroup]]
==See also ==
 
[[Closed loop control]][[Category:Suggestion Bot Tag]]

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In control engineering, open loop control is a control system configuration in which the controller has no access to signals that contain information about the current "state" of the plant (the object or system to be controlled) during the time that the controller is in operation. Here state roughly refers to a collection of dynamical variables of the plant that determine the plant's future evolution/trajectory given its future inputs.

In open loop control, the control law implemented by the controller at any time is independent of the dynamical variables of the plant. In practice, this situation may arise in, for example, cases where it is not feasible or practical to extract any useful information from the plant that can be used for control purposes. In designing a controller for open loop control, the control engineer would need to have a good mathematical model of the plant to be able to derive a control law that achieves the desired performance specifications. A major drawback of open loop control compared to closed loop control is that deviations of the model from the true plant and the presence of various exogenous disturbances may result in serious degradation of the performance of the overall control system. In this case it is said that open loop control systems lack robustness.

A more recent example of open loop control can be found in the quantum control of spin systems using pulsed NMR spectroscopy techniques [1].

See also

Closed loop control

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