What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Statistics
Hamid Reza Karimi focuses on Control theory, Nonlinear system, Control theory, Fuzzy logic and Fuzzy control system.
His Control theory research focuses on Exponential stability, Lyapunov function, Linear matrix inequality, Observer and Discrete time and continuous time.
His Nonlinear system research is multidisciplinary, relying on both Control engineering, Artificial neural network and Mathematical optimization.
The concepts of his Control engineering study are interwoven with issues in Control and Suspension.
His Control theory research is multidisciplinary, incorporating elements of Control system, Stochastic process, Markov process and Stability theory.
His Fuzzy logic study combines topics from a wide range of disciplines, such as Sliding mode control and Bounded function.
His most cited work include:
- New Delay-Dependent Exponential $H_{\infty}$ Synchronization for Uncertain Neural Networks With Mixed Time Delays (394 citations)
- Output-Feedback-Based $H_{\infty}$ Control for Vehicle Suspension Systems With Control Delay (378 citations)
- Robust Observer Design for Unknown Inputs Takagi–Sugeno Models (311 citations)
What are the main themes of his work throughout his whole career to date?
Hamid Reza Karimi mainly focuses on Control theory, Control theory, Nonlinear system, Control engineering and Exponential stability.
His Control theory study integrates concerns from other disciplines, such as Control and Fuzzy logic.
Hamid Reza Karimi is interested in Fuzzy control system, which is a branch of Fuzzy logic.
Hamid Reza Karimi studied Control theory and Vibration control that intersect with Damper.
His work deals with themes such as Artificial neural network, Bounded function and Mathematical optimization, which intersect with Nonlinear system.
His Exponential stability research is included under the broader classification of Stability.
He most often published in these fields:
- Control theory (62.70%)
- Control theory (20.34%)
- Nonlinear system (18.43%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (62.70%)
- Nonlinear system (18.43%)
- Control theory (20.34%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Nonlinear system, Control theory, Sliding mode control and Observer.
His study in Control theory concentrates on Lyapunov function, Exponential stability, Fuzzy control system, Actuator and Control system.
His work carried out in the field of Actuator brings together such families of science as Vibration control and Robustness.
Hamid Reza Karimi combines subjects such as Control, Discrete time and continuous time and Fuzzy logic with his study of Nonlinear system.
He has researched Control theory in several fields, including Markov process, Stochastic process, Linear matrix inequality, Applied mathematics and Hidden Markov model.
He combines subjects such as Markovian jump, Robotic arm and Reachability with his study of Sliding mode control.
Between 2018 and 2021, his most popular works were:
- SPECIAL ISSUE ON ‘SMC based observation, identification, uncertainties compensation and fault detection’ (119 citations)
- Asynchronous Finite-Time Filtering of Networked Switched Systems and its Application: an Event-Driven Method (119 citations)
- Fuzzy-Model-Based Sliding Mode Control of Nonlinear Descriptor Systems (108 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Statistics
Hamid Reza Karimi spends much of his time researching Control theory, Nonlinear system, Control theory, Fuzzy logic and Markov process.
His study in Sliding mode control, Lyapunov function, Observer, Control system and Exponential stability falls under the purview of Control theory.
His Nonlinear system research includes elements of Discretization, Control and Fuzzy control system.
His Control theory study combines topics in areas such as Linear programming, Stochastic process, Applied mathematics and Hidden Markov model.
His research investigates the connection with Fuzzy logic and areas like Dissipative system which intersect with concerns in Stochastic stability, Orthogonal complement, Manifold and Pendulum.
His research on Markov process also deals with topics like
- Weibull distribution which intersects with area such as Probability distribution,
- Robotic arm which connect with Linear matrix inequality, Networked control system and Observer.
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