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First, the contact point was made compliant by adding a linear contact spring at the interface between the two subsystems.
A response closer to that of a real structure is obtained by adding a linear spring in series with the Kelvin solid unit (Mase and Mase 1999).
In such a case, we can modify the control function in the system (15), (16) by adding a linear combination of the values of the state function at the moments t and t − τ.
The proposed optimized adaptive predistorter can be extended to mitigate memory effects by adding a linear time-invariant filter in cascade with the memoryless complex-gain predistorter [5, 30].
In such a case, we can modify the control function in (1) by adding a linear combination of the values of the state function at the moments t and t − τ and we will consider a modified system x ˙ ( t ) = a 1 x ( t ) + a 2 x ( t − τ ) + b f ( σ ( t ) ) + u ( t ), (5).
For the fractional-order error system in the form (41), by adding a linear controller and letting the feedback gain matrix satisfy the conditions of Corollary 2, the error system can be stabilized to the equilibrium point, i.e. the drive system and response system are asymptotically synchronized.
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In this paper, we present a labelled tableau calculus for a temporalised belief logic called TML+, which is obtained by adding a linear-time temporal logic onto a belief logic by the temporalisation method of Finger and Gabbay.
The steady-state error associated to such random noise is eliminated by adding a PI linear controller to the control force.
Due to the non-linearity of the connection between the frequency of physician contact and the number of chronic conditions, we found an adequate adjustment by adding a non-linear term (logarithm of the number of chronic conditions) to the model.
This system is created by adding an optimal linear spring term to the system side of each linear differential equation, starting at the zeroth level, and balancing that term by adding an equal one to the forcing side one level down.
Nevertheless, we explored non-linear selection by adding a quadratic term to the linear mixed effect models in a separate analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com