What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Algorithm
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 most cited work include:
- A multi-objective chaotic particle swarm optimization for environmental/economic dispatch (159 citations)
- Parameters identification of chaotic systems via chaotic ant swarm (116 citations)
- A hybrid CPSO–SQP method for economic dispatch considering the valve-point effects (99 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (33.95%)
- Synchronization (24.69%)
- Artificial neural network (19.75%)
What were the highlights of his more recent work (between 2017-2021)?
- Synchronization (24.69%)
- Artificial neural network (19.75%)
- Control theory (33.95%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- Propagation analysis and prediction of the COVID-19 (90 citations)
- Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks (55 citations)
- Fixed-time synchronization of inertial memristor-based neural networks with discrete delay (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Algorithm
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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