Methods of synchronization of electric drives not mechanically connected by A. E. Bychkov, T. A. Funk, A. V. Aleksandrov

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Study on Chaotic Fault Tolerant Synchronization Control Based on Adaptive Observer by Dongming Chen, Xinyu Huang, Tao Ren

“…Aiming at the abrupt faults of the chaotic system, an adaptive observer is proposed to trace the states of the master system. The sufficient conditions for synchronization of such chaotic systems are also derived. …”
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Finite-Time Synchronizing Control for Chaotic Neural Networks by Chao Zhang, Qiang Guo, Jing Wang

“…In a real communication network, parameters of the master system may be time-varying and the system may be perturbed by external disturbances. …”
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Optimal Exponential Synchronization of Chaotic Systems with Multiple Time Delays via Fuzzy Control by Feng-Hsiag Hsiao

“…Based on this LDI state-space representation, this study proposes a delay-dependent exponential stability criterion of the error system derived in terms of Lyapunov’s direct method to ensure that the trajectories of the slave system can approach those of the master system. Subsequently, the stability condition of this criterion is reformulated into a linear matrix inequality (LMI). …”
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Projective Synchronization of N-Dimensional Chaotic Fractional-Order Systems via Linear State Error Feedback Control by Baogui Xin, Tong Chen

“…It is shown that the slave system can be projectively synchronized with the master system constructed by state transformation. Based on the stability theory of linear fractional order systems, a suitable controller for achieving synchronization is designed. …”
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Complex Dynamics of the Fractional-Order Rössler System and Its Tracking Synchronization Control by Huihai Wang, Shaobo He, Kehui Sun

“…The system can track different signals including chaotic signals from the fractional-order master system and constant signals. It lays a foundation for the application of the fractional-order Rössler system.…”
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A Simple Hybrid Synchronization for a Class of Chaotic Financial Systems by Jiming Zheng, Xiaoshuang Li, Yang Qiu

“…Second, a novel algorithm is proposed to determine the variables of the master system that should antisynchronize with corresponding variables of the slave system and use this algorithm to determine the corresponding variables in the chaotic financial systems. …”
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Updates in Reproduction Coming from the Endocannabinoid System by Rosaria Meccariello, Natalia Battista, Heather B. Bradshaw, Haibin Wang

“…The endocannabinoid system (ECS) is an evolutionarily conserved master system deeply involved in the central and local control of reproductive functions in both sexes. …”
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Baccalaureate at Technical University: Problems and Ways of Their Solutions by N. N. Dvulichanskaya, G. N. Fadeev

“…The article explores the state of professional staff training in Russian higher education institutions in the conditions of transition to a two-tier “bachelor – master” system and suggests the ways for improvement of the process of undergraduate technical training in the current situation. …”
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Exponential Synchronization of Chaotic Xian System Using Linear Feedback Control by J. Humberto Pérez-Cruz, Pedro A. Tamayo-Meza, Maricela Figueroa, Ramón Silva-Ortigoza, Mario Ponce-Silva, R. Rivera-Blas, Mario Aldape-Pérez

“…Additionally, the nonideal case is also studied, that is, when unmodeled dynamics and/or disturbances are present in both master system and slave system. On this new condition, the synchronization error does not converge to zero anymore. …”
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Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time-Varying Delays via Sampled-Data Control by Ting Lei, Qiankun Song, Zhenjiang Zhao, Jianxi Yang

“…By employing the Lyapunov functional method and using the matrix inequality techniques, a delay-dependent LMIs criterion is given to ensure that the master systems and the slave systems are synchronous. …”
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Leveraging public AI tools to explore systems biology resources in mathematical modeling by Meera Kannan, Gabrielle Bridgewater, Ming Zhang, Michael L. Blinov

“…Therefore, comprehending modeling and underlying networks and pathways is contingent on mastering systems biology tools, which is particularly challenging for users with no or little background in data science or system biology. …”
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