What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mathematical analysis
- Control theory
Bassam Bamieh mainly focuses on Control theory, Optimal control, Applied mathematics, Linear system and Stochastic process.
Bassam Bamieh has included themes like Invariant and Synchronization in his Control theory study.
He interconnects Norm, Causality, Sampled data systems and Control engineering in the investigation of issues within Optimal control.
His Applied mathematics research is multidisciplinary, incorporating perspectives in Function, Matrix, Recursion and Link.
His biological study spans a wide range of topics, including H control and Transient.
His Stochastic process research is multidisciplinary, relying on both Mathematical analysis, Covariance, Vorticity, Wavenumber and Consensus.
His most cited work include:
- Distributed control of spatially invariant systems (744 citations)
- A general framework for linear periodic systems with applications to H/sup infinity / sampled-data control (615 citations)
- Coherence in Large-Scale Networks: Dimension-Dependent Limitations of Local Feedback (361 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Optimal control, Applied mathematics, Norm and Mathematical optimization.
Bassam Bamieh combines subjects such as Cantilever and Invariant with his study of Control theory.
His Optimal control research incorporates themes from Control system, Sampled data systems, Minification, Boundary value problem and Control.
His Applied mathematics research also works with subjects such as
- Linear system and related Stochastic process,
- State space and related Spectral radius.
His Norm research is multidisciplinary, incorporating elements of Discrete mathematics, Singular value, Perturbation, Hybrid system and Computation.
As part of one scientific family, Bassam Bamieh deals mainly with the area of Nonlinear system, narrowing it down to issues related to the Mechanics, and often Classical mechanics and Plane.
He most often published in these fields:
- Control theory (39.82%)
- Optimal control (18.10%)
- Applied mathematics (16.74%)
What were the highlights of his more recent work (between 2017-2021)?
- Applied mathematics (16.74%)
- Topology (5.88%)
- Statistical physics (5.43%)
In recent papers he was focusing on the following fields of study:
His main research concerns Applied mathematics, Topology, Statistical physics, Stability and Control theory.
His work carried out in the field of Applied mathematics brings together such families of science as Dimension, Transfer function, Spectral radius, Optimal control and State space.
His studies deal with areas such as Manifold, Approximation algorithm and Limit as well as Optimal control.
His Topology study incorporates themes from Rate of convergence and Control theory.
His Stability research includes elements of Dynamical system, Stochastic process and Coupling.
His research in Control theory intersects with topics in System level synthesis and Invariant.
Between 2017 and 2021, his most popular works were:
- Centrality Measures in Linear Consensus Networks With Structured Network Uncertainties (18 citations)
- On Fundamental Limitations of Dynamic Feedback Control in Regular Large-Scale Networks (10 citations)
- Transient Performance of Electric Power Networks Under Colored Noise (5 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mathematical analysis
- Statistics
His primary areas of study are Invariant, Dynamical systems theory, White noise, Applied mathematics and Topology.
His study in Invariant is interdisciplinary in nature, drawing from both System level synthesis, Control theory and Backstepping.
The study incorporates disciplines such as Time derivative, Quadratic equation, Impulse, Statistical physics and Colors of noise in addition to Dynamical systems theory.
He has researched Applied mathematics in several fields, including Spectral radius, State space, Fourier transform and Convex optimization.
He works mostly in the field of Topology, limiting it down to topics relating to Robustness and, in certain cases, Optimal control, as a part of the same area of interest.
The various areas that Bassam Bamieh examines in his Optimal control study include Network model, Biological network and Limit.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
