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Finally, new design equations based on state parameter are proposed.
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In this paper, an optimal Proportional-Integral-Plus (PIP) controller based on State-Dependent Parameter (SDP) model is developed to control a highly nonlinear and time-varying pH neutralization process.
This article presents an approach based on state observers to identify the parameters of an unknown periodic force exerted on a mechanical system.
Although the statistical details of the implementation of the process can be found in GAP's background documentation note, it is based on state-space models, where parameters are estimated by exact maximum likelihood and the Kalman filter is used to generate the unobserved variables.
Five compounds that constitute COREXIT, a negative control (17β-estradiol), and a positive control (Rosi) were assessed and virtually synthesized based on liquid state parameters at pH 7.4.
The algorithm is based on the state and parameters observability form and a certainty equivalence controller.
Within this work, reinforcement learning (see [10] for a thorough introduction) is used to generate a policy of signal selection based on the state distribution parameters.
The control of the process is based on time and state parameters; thus, the continuous monitoring of these parameters is necessary in order to achieve this goal.
Based on lumped parameter method, the steady state models, including collector/evaporator, compressor and gas cooler, were established.
PrimPol prefers to insert dCMP opposite 8-oxo-dG over dAMP misinsertion based on steady-state kinetic parameters (Table 6).
The pol activity of PrimPol is increased 400 1000-fold by Mn2+ compared to Mg2+ based on steady-state kinetic parameters.
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