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The portioning of glucoamylase from Aspergillus awamori NRRL 3112 was studied by Minami and Kilikian [23] using a two-step ATPE consisted of PEG/phosphate system and achieved a threefold PF.
Fischer et al. recently demonstrated STED-DLW by using a specially synthesized photoresist system and achieved a spatial resolution as low as 65 nm for an excitation (depletion) wavelength of 810 (532) nm [43, 44].
Huber et al. [ 4] also used an 8-bit, 5 GS/s digital oscilloscope to achieve a high imaging speed of 370,000 A-scans per second in their SS-OCT system and achieved a 37dB image contrast in the 8-bit image.
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In addition, nRF communication protocol is customized for suiting to the glucose monitoring system and achieving a high level of energy efficiency.
To decouple the system and achieve a good transient response the model-based nonlinear control concept of exact input-output linearisation is applied.
The proposed scheme guarantees the stability of the closed-loop system and achieves a very small ultimate boundedness of the tracking error in the presence of matched uncertain parameters and external slow disturbances.
A case study has also been carried out to demonstrate the possibility of integrating multiple control algorithms in the multi-agent system and achieving a significant improvement on the overall offline learning performance.
In system design the exact model matching problem with stability consists of compensating a given system, using a realizable control law of a specified structure, in order to ensure the stability of the compensated system and achieve a target closed-loop transfer function.
A theoretical vibro-acoustic model for an active quadruple-panel system is developed to characterize the dynamic behavior of the system and achieve a good understanding of the active control performance and the physical phenomena of the sound transmission loss (STL) characteristics.
A linear parameter dependent (LPD) approach for designing a static output-feedback (SOF) controller for a retarded linear time-invariant system with uncertain parameters is introduced that asymptotically stabilizes the system and achieves a minimum bound on the H∞ performance level.
By solving these LMIs, the filter gain along with the upper bounds on the sampling time intervals, on the network induced time-delays, and on the diameters of the sub-domains can be found that preserve the internal stability of the error system and achieve a given L2-gain.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com