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Based upon the proposed process a virtual prototype is designed for achieving a cycle time for up to 150 picks/min.
Based on the Lyapunov stability theory, a feedback controller is designed for achieving synchronization between two coupled networks with time-varying delays in finite time.
By means of the Lyapunov stability theory, a feedback controller is designed for achieving lag synchronization between two delayed neural networks systems in finite time.
In this study, we report a novel VEGF-loaded nanoparticles (NPs -embedded porciNPs -embeddedellular matrix with thermo-resporcineystem, which is designed for achieving a sustained release of VEGF protein, and embladder the protein cacellularto the BAmatrix
The gain of the linear part is derived from linear matrix inequalities (LMIs), and the linear part of the control law is designed for achieving the H2 performance against system characteristic matrix uncertainty and encoder/decoder mismatch.
By means of the Lyapunov stability theory, an adaptive controller with corresponding parameter update rule is designed for achieving AGFPLS between two diverse chaotic systems and estimating the unknown parameters.
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Firstly, proper controllers are designed for achieving synchronization by adopting impulsive control scheme.
Firstly, based on the Lyapunov stability theory, adaptive feedback controllers are designed for achieving cluster synchronization.
Some related experiments are designed for achieving the best performance because there are lots of parameters in this system.
Based on Lyapunov stability theory a controller can be designed for achieving the FSHPS of hyperchaotic systems.
In addition, optimization techniques, including load balancing, SIMD hash, and asynchronous task transfer, are designed for achieving more speedups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com