What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Artificial neural network
- Control theory
His main research concerns Equilibrium point, Exponential stability, Uniqueness, Control theory and Artificial neural network.
His Equilibrium point research incorporates elements of Lyapunov functional, Cellular neural network and Applied mathematics.
His research investigates the connection between Cellular neural network and topics such as Point that intersect with issues in Mathematical optimization.
His studies examine the connections between Applied mathematics and genetics, as well as such issues in Class, with regards to Constant, Type and Transfer function.
His Uniqueness research is multidisciplinary, relying on both Stability and Recurrent neural network.
Sabri Arik has included themes like Interconnection matrix and Bidirectional associative memory in his Control theory study.
His most cited work include:
- On the global asymptotic stability of delayed cellular neural networks (353 citations)
- Stability analysis of delayed neural networks (293 citations)
- An analysis of global asymptotic stability of delayed cellular neural networks (267 citations)
What are the main themes of his work throughout his whole career to date?
Sabri Arik mainly focuses on Artificial neural network, Exponential stability, Equilibrium point, Control theory and Uniqueness.
His work in Artificial neural network addresses subjects such as Class, which are connected to disciplines such as Type and Constant.
His work carried out in the field of Exponential stability brings together such families of science as Stability criterion, Discrete time and continuous time, Cellular neural network, Interconnection matrix and Applied mathematics.
His Equilibrium point research is multidisciplinary, incorporating elements of Bounded function, Mathematical optimization and Bidirectional associative memory.
His work on Stability, Time delays and Robust control as part of general Control theory research is frequently linked to Set, bridging the gap between disciplines.
His studies deal with areas such as Relation, Norm, Stability result and Homeomorphism as well as Uniqueness.
He most often published in these fields:
- Artificial neural network (69.53%)
- Exponential stability (59.38%)
- Equilibrium point (57.03%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial neural network (69.53%)
- Control theory (54.69%)
- Exponential stability (59.38%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial neural network, Control theory, Exponential stability, Applied mathematics and Discrete time and continuous time.
In Artificial neural network, he works on issues like Differential inclusion, which are connected to Finite time.
His study on Nonlinear system, Control theory and Stability is often connected to Synchronization as part of broader study in Control theory.
His study connects Equilibrium point and Exponential stability.
His biological study spans a wide range of topics, including Generalization, Uniqueness and Fuzzy logic.
The Applied mathematics study combines topics in areas such as Derivative and Stability conditions.
Between 2017 and 2021, his most popular works were:
- A modified Lyapunov functional with application to stability of neutral-type neural networks with time delays (32 citations)
- New Criteria for Stability of Neutral-Type Neural Networks With Multiple Time Delays (23 citations)
- Global stability analysis of fractional-order fuzzy BAM neural networks with time delay and impulsive effects (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Artificial neural network
- Machine learning
Sabri Arik focuses on Artificial neural network, Exponential stability, Equilibrium point, Control theory and Lyapunov stability.
His Artificial neural network study often links to related topics such as Actuator.
His studies in Equilibrium point integrate themes in fields like Generalization and Applied mathematics.
His Applied mathematics study integrates concerns from other disciplines, such as Time derivative, Discrete time and continuous time, State variable, Lipschitz continuity and Stability conditions.
Many of his research projects under Control theory are closely connected to Stochastic process, Decoupling and Synchronization with Stochastic process, Decoupling and Synchronization, tying the diverse disciplines of science together.
The study incorporates disciplines such as Markovian jump, Numerical analysis, Uniqueness and Fuzzy logic in addition to Lyapunov stability.
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