The phrase "are suitable for controlling" is correct and usable in written English.
It can be used when discussing the appropriateness or effectiveness of something in managing or regulating a situation or process.
Example: "These tools are suitable for controlling the temperature in the laboratory."
Alternatives: "are appropriate for managing" or "are effective for regulating".
For this purpose, current controlled rate freezers (CRFs) are suitable for controlling temperature, maintaining the rate of temperature during cryopreservation.
Experimental tests have shown that semi-active vibration absorbers are suitable for controlling the impulse response of structures.
The systemic iCa concentrations showed a good concordance between the different instruments indicating that they are suitable for controlling iCa substitution, indicating that they are suitable for controlling iCa substitution.
Previous studies revealed that temperature-modulated promoters are suitable for controlling ethanol production in Synechococcus (Wood et al. 2004).
Optimised conditions result in high quality ECM patterns at the micron scale, even on glass substrates, that are suitable for controlling cell spreading and polarisation.
By size control of quantum dot and external voltage, one can design a four level quantum dot with appropriate energy levels which can be suitable for controlling the optical bistability and multistability by terahertz signal field.
PHCs with photonic band gap guidance mechanism can provide highly confined guided mode which is suitable for controlling the propagation of light[8].
Therefore, developing energy agriculture is suitable for controlling the concentration of greenhouse gases in the atmosphere.
Under such circumstances, effective control is facilitated by the application of model-based control, which requires the availability of process models that are suitable for control system design and implementation.
The advantage of this approach compared to the use of PDE equation is that allows simpler models which are suitable for control design and whose parameters can be easily identified from input output data by means of classical identification techniques.
It can be shown from simulation results that the proposed models are suitable for control and optimisation studies, and the optimisation algorithms connected with either steady state or dynamic models are successful for the determination of optimal operational conditions and dynamic trajectories with good convergence properties.
