Haipeng Peng spends much of his time researching Control theory, Mathematical optimization, Economic dispatch, Synchronization and Memristor. The concepts of his Control theory study are interwoven with issues in Control and Identification. Mathematical optimization is frequently linked to Chaotic in his study.
His Economic dispatch research is multidisciplinary, incorporating perspectives in Swarm intelligence and Chaotic particle swarm optimization. His research on Memristor frequently connects to adjacent areas such as Artificial neural network. His Artificial neural network research is multidisciplinary, relying on both Differential inclusion and Lyapunov stability.
His primary scientific interests are in Control theory, Synchronization, Artificial neural network, Memristor and Synchronization. His study connects Differential inclusion and Control theory. His Differential inclusion study combines topics from a wide range of disciplines, such as Recurrent neural network and Boundary.
His research integrates issues of Correctness, Settling time and Bounded function in his study of Artificial neural network. Haipeng Peng interconnects Finite time, Cellular neural network and Fuzzy logic in the investigation of issues within Memristor. His Identification study combines topics in areas such as Chaotic and Mathematical optimization.
His scientific interests lie mostly in Synchronization, Artificial neural network, Control theory, Memristor and Compressed sensing. Throughout his Synchronization studies, he incorporates elements of other sciences such as Lyapunov function, Nonlinear system, Stability, Differential inclusion and Fixed time. His Artificial neural network research is multidisciplinary, incorporating elements of System parameters, Settling time and Linear matrix.
His Adaptive control study in the realm of Control theory interacts with subjects such as Simple. The various areas that Haipeng Peng examines in his Memristor study include Finite time, Control theory, Fuzzy logic and Topology. The concepts of his Compressed sensing study are interwoven with issues in Hash function, Secure transmission, Encryption and Matrix multiplication.
Synchronization, Control theory, Artificial neural network, Memristor and Settling time are his primary areas of study. His Synchronization research covers fields of interest such as Lyapunov function, Stability, Simple and Computational intelligence. His studies deal with areas such as Control, Banach fixed-point theorem and Stability theorem as well as Stability.
His Artificial neural network research is multidisciplinary, relying on both Correctness and Nonlinear system. His Memristor research includes themes of Cellular neural network, Linear matrix, System parameters and Fuzzy logic. In his study, which falls under the umbrella issue of Settling time, Stability criterion, Stability, Applied mathematics and Plaintext is strongly linked to Upper and lower bounds.
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A multi-objective chaotic particle swarm optimization for environmental/economic dispatch
Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li.
Energy Conversion and Management (2009)
Parameters identification of chaotic systems via chaotic ant swarm
Lixiang Li;Yixian Yang;Haipeng Peng;Xiangdong Wang.
Chaos Solitons & Fractals (2006)
Propagation analysis and prediction of the COVID-19
Lixiang Li;Zihang Yang;Zhongkai Dang;Cui Meng.
Infectious Disease Modelling (2020)
Chaotic ant swarm optimization to economic dispatch
Jiejin Cai;Xiaoqian Ma;Lixiang Li;Yixian Yang.
Electric Power Systems Research (2007)
A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects
Jiejin Cai;Qiong Li;Lixiang Li;Haipeng Peng.
Energy Conversion and Management (2012)
A multi-objective chaotic ant swarm optimization for environmental/economic dispatch
Jiejin Cai;Xiaoqian Ma;Qiong Li;Lixiang Li.
International Journal of Electrical Power & Energy Systems (2010)
Multiple routes transmitted epidemics on multiplex networks
Dawei Zhao;Lixiang Li;Haipeng Peng;Qun Luo.
Physics Letters A (2014)
Complex networks-based energy-efficient evolution model for wireless sensor networks
Hailin Zhu;Hong Luo;Haipeng Peng;Lixiang Li.
Chaos Solitons & Fractals (2009)
An Enhanced Biometric-Based Authentication Scheme for Telecare Medicine Information Systems Using Elliptic Curve Cryptosystem
Yanrong Lu;Lixiang Li;Haipeng Peng;Yixian Yang.
Journal of Medical Systems (2015)
Synchronization control of memristor-based recurrent neural networks with perturbations.
Weiping Wang;Lixiang Li;Haipeng Peng;Haipeng Peng;Jinghua Xiao.
Neural Networks (2014)
Profile was last updated on December 6th, 2021.
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