Relevant bibliographies by topics / Adaptive function projective synchronization

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Adaptive function projective synchronization'

Author: Grafiati
Published: 3 June 2025
Last updated: 20 July 2025

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Journal articles on the topic "Adaptive function projective synchronization"

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Guo, Jun, Yanchao Shi, Weihua Luo, Yanzhao Cheng, and Shengye Wang. "Exponential projective synchronization analysis for quaternion-valued memristor-based neural networks with time delays." Electronic Research Archive 31, no. 9 (2023): 5609–31. http://dx.doi.org/10.3934/era.2023285.

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<abstract><p>The issues of exponential projective synchronization and adaptive exponential projective synchronization are analyzed for quaternion-valued memristor-based neural networks (QVMNNs) with time delays. Different from the results of existing decomposition techniques, a direct analytical approach is used to discuss the projection synchronization problem. First, in the framework of measurable selection and differential inclusion, the QVMNNs is transformed into a system with parametric uncertainty. Next, the sign function related to quaternion is introduced. Different proper
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Botmart, T., N. Yotha, P. Niamsup, and W. Weera. "Hybrid Adaptive Pinning Control for Function Projective Synchronization of Delayed Neural Networks with Mixed Uncertain Couplings." Complexity 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/4654020.

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This paper presents the function projective synchronization problem of neural networks with mixed time-varying delays and uncertainties asymmetric coupling. The function projective synchronization of this model via hybrid adaptive pinning controls and hybrid adaptive controls, composed of nonlinear and adaptive linear feedback control, is further investigated in this study. Based on Lyapunov stability theory combined with the method of the adaptive control and pinning control, some novel and simple sufficient conditions are derived for the function projective synchronization problem of neural
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YU, YONG-GUANG, HAN-XIONG LI, and JUN-ZHI YU. "THE HYBRID FUNCTION PROJECTIVE SYNCHRONIZATION OF CHAOTIC SYSTEMS." International Journal of Modern Physics C 20, no. 05 (2009): 789–97. http://dx.doi.org/10.1142/s0129183109013972.

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This paper mainly investigated a hybrid function projective synchronization of two different chaotic systems. Based on the Lyapunov stability theory, an adaptive controller for the synchronization of two different chaotic systems is designed. This technique is applied to achieve the synchronization between Lorenz and Rössler chaotic systems, and the synchronization of hyperchaotic Rössler and Chen systems. The numerical simulation results illustrate the effectiveness and feasibility of the proposed scheme.
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Xi, Hui Ling, Si Min Yu, and Hui Ling Xi. "Adaptive Full State Hybrid Function Projective Lag Synchronization in Chaotic Continuous-Time System." Advanced Materials Research 383-390 (November 2011): 4169–74. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.4169.

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Based on the Lyapunov stability theory, an adaptive full state hybrid function projective lag synchronization (FSHFPLS) scheme is investigated in chaotic continuous-time system, and a unified adaptive controller and parameters update law are designed for achieved the projective lag synchronization up to a desired scaling function. In addition, a scheme for secure communication is presented. Numerical simulations are performed to verify and illustrate the analytical results.
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Xing, Jinsheng. "Adaptive Hybrid Function Projective Synchronization of Chaotic Systems with Time-Varying Parameters." Mathematical Problems in Engineering 2012 (2012): 1–18. http://dx.doi.org/10.1155/2012/619708.

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The adaptive hybrid function projective synchronization (AHFPS) of different chaotic systems with unknown time-varying parameters is investigated. Based on the Lyapunov stability theory and adaptive bounding technique, the robust adaptive control law and the parameters update law are derived to make the states of two different chaotic systems asymptotically synchronized. In the control strategy, the parameters need not be known throughly if the time-varying parameters are bounded by the product of a known function oftand an unknown constant. In order to avoid the switching in the control signa
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Zhou, Ping, and Xiao-You Yang. "A Novel Hybrid Function Projective Synchronization between Different Fractional-Order Chaotic Systems." Discrete Dynamics in Nature and Society 2011 (2011): 1–15. http://dx.doi.org/10.1155/2011/496846.

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An adaptive hybrid function projective synchronization (AHFPS) scheme between different fractional-order chaotic systems with uncertain system parameter is addressed in this paper. In this proposed scheme, the drive and response system could be synchronized up to a vector function factor. This proposed scheme is different with the function projective synchronization (FPS) scheme, in which the drive and response system could be synchronized up to a scaling function factor. The adaptive controller and the parameter update law are gained. Two examples are presented to demonstrate the effectivenes
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WU, RANCHAO, and DONGXU CAO. "FUNCTION PROJECTIVE SYNCHRONIZATION OF CHAOTIC SYSTEMS VIA NONLINEAR ADAPTIVE–IMPULSIVE CONTROL." International Journal of Modern Physics C 22, no. 11 (2011): 1281–91. http://dx.doi.org/10.1142/s0129183111016890.

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In this paper, function projective synchronization of chaotic systems is investigated through nonlinear adaptive–impulsive control. To achieve synchronization, suitable nonlinear continuous and impulsive controllers are designed, according to invariant principle of impulsive dynamical systems. Sufficient conditions are given to ensure the synchronization. Numerical simulation results show the effectiveness of the proposed scheme.
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Guan, Junbiao. "Function Projective Synchronization of a Class of Chaotic Systems with Uncertain Parameters." Mathematical Problems in Engineering 2012 (2012): 1–5. http://dx.doi.org/10.1155/2012/431752.

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This paper investigates the function projective synchronization of a class of chaotic systems with uncertain parameters. Based on Lyapunov stability theory, the nonlinear adaptive control law and the parameter update law are derived to make the state of two chaotic systems function projective synchronized. Numerical simulations are presented to demonstrate the effectiveness of the proposed adaptive scheme.
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El-Dessoky, M. M., M. T. Yassen, and E. Saleh. "Adaptive Modified Function Projective Synchronization between Two Different Hyperchaotic Dynamical Systems." Mathematical Problems in Engineering 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/810626.

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This work investigates modified function projective synchronization between two different hyperchaotic dynamical systems, namely, hyperchaotic Lorenz system and hyperchaotic Chen system with fully unknown parameters. Based on Lyapunov stability theory, the adaptive control law and the parameter update law are derived to achieve modified function projective synchronized between two diffierent hyperchaotic dynamical systems. Numerical simulations are presented to demonstrate the effectiveness of the proposed adaptive controllers.
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Sader, Malika, Fuyong Wang, Zhongxin Liu, and Zhongxin Chen. "Projective synchronization analysis for BAM neural networks with time-varying delay via novel control." Nonlinear Analysis: Modelling and Control 26, no. 1 (2021): 41–56. http://dx.doi.org/10.15388/namc.2021.26.21204.

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In this paper, the projective synchronization of BAM neural networks with time-varying delays is studied. Firstly, a type of novel adaptive controller is introduced for the considered neural networks, which can achieve projective synchronization. Then, based on the adaptive controller, some novel and useful conditions are obtained to ensure the projective synchronization of considered neural networks. To our knowledge, different from other forms of synchronization, projective synchronization is more suitable to clearly represent the nonlinear systems’ fragile nature. Besides, we solve the proj
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Dissertations / Theses on the topic "Adaptive function projective synchronization"

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John, Sally Ann. "The use of Masekitlana as a therapeutic technique for children affected by HIV/AIDS." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/24745.

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This study is an investigation into the use of an African indigenous narrative game, Masekitlana, which I used as a therapeutic medium for four children, aged eight to 12 years. The participants are of Zulu origin and culture and were affected and orphaned as a result of HIV/AIDS. The game involved the participants in activities, such as hitting stones together or arranging them at will, that they felt familiar with and that enabled freer verbal expression from them. I employed a single-system research design that consisted of mixed methods approaches in the form of a qualitative thematic anal
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Li, Yan-Sian, and 李彥賢. "Chaos and Pragmatical Hybrid Projective and Symplectic Chaos Synchronization of a New Mathieu-Duffing System by Adaptive Backstepping Control and by Partial Region Stability Theory." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22143038189484338490.

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碩士<br>國立交通大學<br>機械工程系所<br>96<br>This thesis consists of three parts: (1) the chaotic behaviors of are studied numerically by phase portraits, Poincaré maps, bifurcation diagrams, power spectrum and Lyapunov exponent diagrams. (2) system is studied for pragmatical hybrid projective hyperchaotic generalized synchronization (PHPHGS) and pragmatical hybrid projective and symplectic synchronization (PHPSS) with different kinds of different chaotic systems, Duffing-van der Pol system and system, by adaptive backstepping control. (3) chaotic generalized synchronization, chaos control and pragm
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Hsu, Ui-Han, and 徐瑜韓. "Chaos Generalized Synchronization and Control of New Froude-Duffing System by GYC Partial Region Stability Theory Hyperchaos of Rössler System with Bessel Function Parameters, and Projective Yin-Yang Generalized Synchronization by Pragmatical Asympto." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/23599436578308740227.

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碩士<br>國立交通大學<br>機械工程系所<br>97<br>In this thesis, the chaotic behavior in a new Froude-Duffing System is studied by phase portraits, time history, Poincaré maps, Lyapunov exponent and bifurcation diagrams. A new method, using GYC partial region stability theory, is studied for chaos synchronization and chaos control. Hyperchaos of a Rössler System with Bessel Function Parameters is studied. A new kind of chaotic generalized synchronization system, hybrid projective Yin-Yang generalized synchronization (HPYYGS), is obtained by pragmatical asymptotical stability theorem and adaptive control law. N
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Book chapters on the topic "Adaptive function projective synchronization"

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Cai, Guoliang, Hao Ma, and Yuxiu Li. "Adaptive Projective Synchronization and Function Projective Synchronization of Chaotic Neural Networks with Delayed and Non-delayed Coupling." In Advances in Neural Networks – ISNN 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31346-2_33.

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Cai, Guoliang, Wenjun Shi, Yuxiu Li, Zhiyin Zhang, and Gaihong Feng. "Adaptive Generalized Function Projective Synchronization of Colored Networks in Finite Time." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6445-6_53.

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Shen, Shaowei, and Junbiao Guan. "Adaptive Function Projective Synchronization of the New Chaotic Systems with Uncertain Parameters." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19706-2_20.

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Dong, Jun, Guang-jun Zhang, Hong Yao, Xiang-bo Wang, and Jue Wang. "Function Projective Synchronization and Parameters Identification of Different Hyperchaotic Systems Based on Adaptive Control." In Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33478-8_41.

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Lu, Dianchen, and Qiaoxia Qi. "Adaptive Projective Synchronization of Complex Networks with Weighted Topology." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23235-0_18.

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Yan, Minxiu, and Liping Fan. "Adaptive Terminal Sliding Mode Projective Synchronization of Chaotic Systems." In Electrical Engineering and Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_78.

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Wang, Hui, and Yang Lu. "Adaptive Projective Lag Synchronization of the Uncertain Chaotic Systems." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25002-6_83.

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Abdurahman, Abdujelil, Cheng Hu, Ahmadjan Muhammadhaji, and Haijun Jiang. "Adaptive Control Strategy for Projective Synchronization of Neural Networks." In Advances in Neural Networks - ISNN 2017. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59072-1_30.

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Cai, Guoliang, Hao Ma, Xiangqian Gao, and Xianbin Wu. "Generalized Function Projective Lag Synchronization between Two Different Neural Networks." In Advances in Neural Networks – ISNN 2013. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39065-4_16.

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Z. Pesenson, Misha Meyer. "Adaptive Multiscale Encoding: A Computational Function of Neuronal Synchronization." In Multiscale Analysis and Nonlinear Dynamics. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527671632.ch11.

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Conference papers on the topic "Adaptive function projective synchronization"

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Zhang, Baojie, Changchao Liu, Zhiyuan Zhu, Yuming Feng, and Longzhou Cao. "Fractional-order Adaptive Sliding Mode Projective Synchronization of Different Hyperjerk Systems." In 2025 13th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2025. https://doi.org/10.1109/icicip64458.2025.10898099.

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Du, Hongyue, Qingshuang Zeng, and Mingxiang Ling. "Adaptive Modified Function Projective Synchronization with Known or Unknown Parameters." In 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop. IEEE, 2008. http://dx.doi.org/10.1109/kamw.2008.4810439.

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Feng, Mingku. "Adaptive modified function projective synchronization for complex four-dimensional chaotic systems." In 2013 9th International Conference on Natural Computation (ICNC). IEEE, 2013. http://dx.doi.org/10.1109/icnc.2013.6818225.

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Wenke, Ding, and Chai Xiuli. "Adaptive Generalized Function Projective Lag Synchronization and Parameter Identification of Hyperchaotic Systems." In 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP). IEEE, 2015. http://dx.doi.org/10.1109/paap.2015.22.

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Jia, Nuo, Tao Wang, and Hui Wang. "Adaptive generalized function projective synchronization of a class of new chaotic systems." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7259711.

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Hua, Shiqun, Sheng Miao, Wenfeng Hao, and Haoxiang Wang. "Adaptive Function Projective Synchronization Control and Parameters Identification of Different Uncertain Chaotic Systems." In 2009 2nd International Congress on Image and Signal Processing (CISP). IEEE, 2009. http://dx.doi.org/10.1109/cisp.2009.5303967.

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Wang Jian-an. "Adaptive reduced-order modified function projective synchronization of chaotic systems with uncertain parameters." In 2012 24th Chinese Control and Decision Conference (CCDC). IEEE, 2012. http://dx.doi.org/10.1109/ccdc.2012.6244637.

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Pei-Yan, Jia, Chai Xiu-Li, and Shen Xia-Jiong. "Adaptive Generalized Function Projective Lag Synchronization of Time-Delay Systems with Uncertain Parameters." In 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP). IEEE, 2015. http://dx.doi.org/10.1109/paap.2015.23.

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Xie, Chengrong, and Yuhua Xu. "Adaptive Hybrid Function Projective Synchronization for Two Different Chaotic System with Uncertain Parameters." In 2010 Third International Symposium on Intelligent Information Technology and Security Informatics (IITSI). IEEE, 2010. http://dx.doi.org/10.1109/iitsi.2010.120.

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Al-mahbashi, Ghada, M. S. Md Noorani, and Sakhinah Abu Bakar. "Adaptive hybrid function projective synchronization in drive-response discrete networks with delay coupling." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980876.

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