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In Section 4, we propose a novel PF method based on the Taylor expansion which is utilized to linearize the nonlinear model.
Using this model, the relative centripetal and Coriolis accelerations between robots are computed directly by measuring the relative and local motion sensors, and utilized to linearize the nonlinear system equations.
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In order to solve this problem, a complementary source follower (CSF) is proposed, which utilizes the different characteristic of NMOS and PMOS to linearize the source follower, leading to an improvement of LNA's IIP3 and IIP2 by about 10 dBm and 21 dBm respectively.
Here, we remark that the linear assumption has been employed to linearize the electromagnetic scattering problem.
A proximate decoupling method is applied to linearize the constraint.
Hence, it can be used to linearize the PA.
A piecewise linearized method has been presented to linearize the nonlinear contact stiffness of eight selected contact models.
While the EKS can easily invert the Taylor series based linearized dynamics, the SPKS requires a new approach to linearize the forward nonlinear dynamic model.
In order to linearize the system, an equilibrium point is considered at the vertical upright position.
Then, the Gauss Newton method is used to linearize the first order optimality conditions.
For completeness, a piecewise approximation function is used to linearize the quadratic power losses.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com