What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Machine learning
His primary scientific interests are in Control theory, Artificial intelligence, Chaotic, Pattern recognition and Synchronization of chaos. His Control theory, Lyapunov stability, Control system and Internal model study in the realm of Control theory connects with subjects such as Synchronization. His Lyapunov stability research is multidisciplinary, incorporating perspectives in Nonlinear control, Lyapunov exponent and Stability theory.
His Artificial intelligence research focuses on Machine learning and how it relates to Classifier and Mammography. The Chaotic study which covers Adaptive control that intersects with Quadratic equation. His Pattern recognition research includes elements of Cluster analysis, Breast cancer and Data set.
His most cited work include:
- Supervised hybrid feature selection based on PSO and rough sets for medical diagnosis (185 citations)
- Chaos Modeling and Control Systems Design (180 citations)
- Computational Intelligence Applications in Modeling and Control (166 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Artificial intelligence, Chaotic, Control theory and Nonlinear system are his primary areas of study. His study connects Synchronization and Control theory. His research integrates issues of Machine learning, Data mining, Computer vision and Pattern recognition in his study of Artificial intelligence.
The study incorporates disciplines such as Equilibrium point, Synchronization of chaos and Attractor, Topology in addition to Chaotic. He interconnects Observer, Exponential stability and Trajectory in the investigation of issues within Control theory. Ahmad Taher Azar focuses mostly in the field of Lyapunov stability, narrowing it down to topics relating to Applied mathematics and, in certain cases, Order.
He most often published in these fields:
- Control theory (69.03%)
- Artificial intelligence (24.52%)
- Chaotic (32.04%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (69.03%)
- Backstepping (17.85%)
- Control theory (28.82%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Backstepping, Control theory, Chaotic and Attractor. His Control theory research incorporates themes from Stability and Synchronization. His Control theory research includes themes of Mechanical system, Genetic algorithm and Fuzzy logic.
He carries out multidisciplinary research, doing studies in Chaotic and Synchronization. Ahmad Taher Azar has researched Attractor in several fields, including Realization, Lyapunov exponent, Jerk and Multistability. His research investigates the connection with Particle swarm optimization and areas like Artificial intelligence which intersect with concerns in Cancer treatment.
Between 2019 and 2021, his most popular works were:
- New binary whale optimization algorithm for discrete optimization problems (25 citations)
- On Inverse Full State Hybrid Function Projective Synchronization For Continuous-time Chaotic Dynamical Systems with Arbitrary Dimensions (18 citations)
- On Inverse Full State Hybrid Function Projective Synchronization For Continuous-time Chaotic Dynamical Systems with Arbitrary Dimensions (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Machine learning
His main research concerns Control theory, Control theory, Particle swarm optimization, Chaotic and Lyapunov stability. His study in Active disturbance rejection control, Exponential stability, Disturbance, Adaptive control and Holonomic constraints are all subfields of Control theory. His Control theory research incorporates elements of Fractional calculus, Hamiltonian system, Trajectory and Nonlinear system.
His study in Particle swarm optimization is interdisciplinary in nature, drawing from both Robot, Motion planning, Mobile robot, Swarm behaviour and Feature extraction. Ahmad Taher Azar interconnects Differentiable function, Attractor, Mathematical analysis, Linear combination and Inverse in the investigation of issues within Chaotic. His Lyapunov stability research is multidisciplinary, incorporating elements of Observer, Function, Topology, Synchronization of chaos and Piecewise.
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