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Over the last decade a large number of routing protocols has been designed for achieving energy efficiency in data collecting wireless sensor networks.
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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.
Based upon the proposed process a virtual prototype is designed for achieving a cycle time for up to 150 picks/min.
Secondly, periodically intermittent controllers are designed for achieving cluster synchronization and the synchronization conditions are derived by using mathematical induction method and the analysis technique.
The HERA luminosity is measured using high rate, high-energy bremsstrahlung photons, and the Cherenkov detectors are designed for achieving the required resolution of the photon energy measurement.
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.
They were designed for achieving the olefin metathesis reaction, the Ziegler Natta depolymerisation, the low temperature hydrogenolysis of alkanes and the alkane metathesis reaction.
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.
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