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   Emdadi, Arezoo; Asle Zaeem, Mohsen; Asadi, Ebrahim (October 2016, Computational Materials Science)
2. Optimal phase control of biological oscillators using augmented phase reduction

   Monga, Bharat; Moehlis, Jeff (January 2018, Biological cybernetics)

   We develop a novel optimal control algorithm to change the phase of an oscillator using a minimum energy input, which also minimizes the oscillator’s transversal distance to the uncontrolled periodic orbit. Our algorithm uses a two-dimensional reduction technique based on both isochrons and isostables. We develop a novel method to eliminate cardiac alternans by connecting our control algorithm with the underlying physiological problem. We also describe how the devised algorithm can be used for spike timing control which can potentially help with motor symptoms of essential and parkinsonian tremor, and aid in treating jet lag. To demonstrate the advantages of this algorithm, we compare it with a previously proposed optimal control algorithm based on standard phase reduction for the Hopf bifurcation normal form, and models for cardiac pacemaker cells, thalamic neurons, and circadian gene regulation cycle in the suprachiasmatic nucleus. We show that our control algorithm is effective even when a large phase change is required or when the nontrivial Floquet multiplier is close to unity; in such cases, the previously proposed control algorithm fails. 

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3. Investigation of Common-Mode EMI in Three-Phase Split-Phase Inverter

   https://doi.org/10.1109/EMCSIPI50001.2023.10241575  

   Mirza, Abdul Basit; Muneeb, Abdul; Vala, Sama Salehi; Luo, Fang (July 2023, IEEE)
4. Phase Noise Analysis of Clock Generator by Using Phase Noise Sensitivity

   https://doi.org/10.1109/TSIPI.2022.3222747  

   Liu, Yuanzhuo; Guo, Yuandong; Li, Chaofeng; Bai, Siqi; Chen, Bichen; Venkataraman, Srinivas; Wang, Xu; Fan, Jun; Kim, DongHyun (January 2022, IEEE Transactions on Signal and Power Integrity)
5. Improving Estimation of Specific Differential Phase and Assessing Differential Backscattering Phase

   https://doi.org/10.1175/JAMC-D-23-0204.1  

   Mishler, Reese; Zhang, Guifu; Mahale, Vivek_N (July 2024, Journal of Applied Meteorology and Climatology)

   Abstract Polarimetric variables such as differential phase Φ_DPand its range derivative, specific differential phaseK_DP, contain useful information for improving quantitative precipitation estimation (QPE) and microphysics retrieval. However, the usefulness of the current operationally utilized estimation method ofK_DPis limited by measurement error and artifacts resulting from the differential backscattering phaseδ. The contribution ofδcan significantly influence the Φ_DPmeasurements and therefore negatively affect theK_DPestimates. Neglecting the presence ofδwithin non-Rayleigh scattering regimes has also led to the adoption of incorrect terminology regarding signatures seen within current operationalK_DPestimates implying associated regions of unrealistic liquid water content. A new processing method is proposed and developed to estimate bothK_DPandδusing classification and linear programming (LP) to reduce bias inK_DPestimates caused by theδcomponent. It is shown that by applying the LP technique specifically to the rain regions of Rayleigh scattering along a radial profile, accurate estimates of differential propagation phase, specific differential phase, and differential backscattering phase can be retrieved within regions of both Rayleigh and non-Rayleigh scattering. This new estimation method is applied to cases of reported hail and tornado debris, and the LP results are compared to the operationally utilized least squares fit (LSF) estimates. The results show the potential use of the differential backscattering phase signature in the detection of hail and tornado debris. 

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