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By studying the conditions of feedback linearization method, stability of the controller is also proved.
For systems that involve Hill functions, there have been various linearization approaches that can be used to study the dynamics outside of the equilibrium [13], [39] [41].
We now study this problem by using the linearization system (2.14) and Theorem 4.5.
The comparative study of the linearization algorithms is performed by using a nonlinear optical distance-measuring sensor.
The Ph.D. dissertation of Tcheutia [18] exhibits a detailed study of the linearization coefficients of various orthogonal polynomials.
In this study, we consider the linearization of the neuron's dynamics around its "working point", determined by its intrinsic properties and by the collective balance of the weak and asynchronous synaptic events it receives.
Next, by using the Horn fixed-point theorem and the method of linearization, we will study the existence and local asymptotical stability of the endemic equilibrium for model (1).
The stability of the open-loop system is studied by linearization and tools from periodic systems theory.
We study the trade-off between implementation complexity, linearization capabilities, robustness against noise, and algorithm stability by simulations in this section.
The detection limit was estimated by the linearization method recommended by IUPAC.
In this study, the convex linearization is constructed by utilizing the sensitivity and function value of the probabilistic constraint at the MPP.
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