What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical optimization
- Mathematical analysis
Model predictive control, Control theory, Mathematical optimization, Probabilistic logic and Linear system are his primary areas of study.
His Model predictive control research is multidisciplinary, incorporating elements of Quadratic programming, Constrained optimization and Nonlinear system.
In general Control theory study, his work on Robust control, Transfer function and Robustness often relates to the realm of Invariant and Work, thereby connecting several areas of interest.
His Mathematical optimization research includes themes of Stability, Multiplicative function and Computation.
His research in Probabilistic logic intersects with topics in Stochastic model predictive control and System dynamics.
His research integrates issues of Representation, State observer and Output feedback in his study of Linear system.
His most cited work include:
- Efficient robust predictive control (394 citations)
- A numerically robust state-space approach to stable-predictive control strategies (234 citations)
- Nonlinear predictive control : theory and practice (170 citations)
What are the main themes of his work throughout his whole career to date?
Basil Kouvaritakis mainly focuses on Control theory, Model predictive control, Mathematical optimization, Stability and Linear system.
Control theory is frequently linked to Computation in his study.
His work in Model predictive control addresses subjects such as Quadratic programming, which are connected to disciplines such as Control theory.
The Mathematical optimization study which covers Probabilistic logic that intersects with Stochastic control.
The various areas that Basil Kouvaritakis examines in his Stability study include Basis, Class and Control system.
The concepts of his Nonlinear system study are interwoven with issues in Interpolation and Affine transformation.
He most often published in these fields:
- Control theory (78.79%)
- Model predictive control (65.66%)
- Mathematical optimization (47.98%)
What were the highlights of his more recent work (between 2008-2016)?
- Model predictive control (65.66%)
- Control theory (78.79%)
- Mathematical optimization (47.98%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Model predictive control, Control theory, Mathematical optimization, Linear system and Robust control.
His Model predictive control study combines topics from a wide range of disciplines, such as Quadratic programming, Stochastic control, Parameterized complexity, Constrained optimization and Computation.
The Control theory study combines topics in areas such as Computational complexity theory and State.
His Mathematical optimization research integrates issues from Multiplicative function, Probabilistic logic, Stability and Robustness.
He has researched Linear system in several fields, including State space and Applied mathematics.
His studies in Robust control integrate themes in fields like Structure, Dynamic programming, Free variables and bound variables, Bounded function and Solver.
Between 2008 and 2016, his most popular works were:
- Stochastic Tubes in Model Predictive Control With Probabilistic Constraints (157 citations)
- Model Predictive Control: Classical, Robust and Stochastic (139 citations)
- Probabilistic Constrained MPC for Multiplicative and Additive Stochastic Uncertainty (128 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical optimization
- Mathematical analysis
Basil Kouvaritakis focuses on Model predictive control, Control theory, Mathematical optimization, Probabilistic logic and Stochastic control.
Basil Kouvaritakis focuses mostly in the field of Model predictive control, narrowing it down to topics relating to Linear system and, in certain cases, Norm and Bounding overwatch.
His Control theory research incorporates themes from State and Quadratic programming.
His Mathematical optimization research focuses on subjects like Affine transformation, which are linked to Linear programming, Separable space and Dynamic programming.
His Probabilistic logic study combines topics in areas such as Stability, Sequence and Stochastic model predictive control.
While the research belongs to areas of Stochastic control, Basil Kouvaritakis spends his time largely on the problem of Constrained optimization, intersecting his research to questions surrounding Optimal control.
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