What is he best known for?
The fields of study Pierre Apkarian is best known for:
- Lyapunov function
- Lemma (botany)
- Poaceae
As part of one scientific family, Pierre Apkarian deals mainly with the area of Projection (relational algebra), narrowing it down to issues related to the Algorithm, and often Parameterized complexity.
His Parameterized complexity study often links to related topics such as Algorithm.
His Control (management) study frequently links to adjacent areas such as Full state feedback.
Full state feedback and Artificial intelligence are frequently intertwined in his study.
Artificial intelligence connects with themes related to Control theory (sociology) in his study.
His study in Control (management) extends to Control theory (sociology) with its themes.
As part of his studies on Control system, he often connects relevant areas like Linear fractional transformation.
As part of his studies on Linear fractional transformation, he often connects relevant subjects like Quantum mechanics.
Quantum mechanics is closely attributed to Lyapunov redesign in his study.
His most cited work include:
- A convex characterization of gain-scheduled H/sub ∞/ controllers (1166 citations)
- Parameterized linear matrix inequality techniques in fuzzy control system design (1023 citations)
- Affine parameter-dependent Lyapunov functions and real parametric uncertainty (937 citations)
What are the main themes of his work throughout his whole career to date
His Scheduling (production processes) research focuses on subjects like Mathematical optimization, which are linked to Linear matrix inequality.
Control theory (sociology) and Gain scheduling are the subject areas of his Control (management) study.
As part of his studies on Control theory (sociology), Pierre Apkarian frequently links adjacent subjects like Control (management).
In his research, he performs multidisciplinary study on Artificial intelligence and Computer vision.
Pierre Apkarian performs integrative Computer vision and Artificial intelligence research in his work.
He undertakes multidisciplinary studies into Quantum mechanics and Eigenvalues and eigenvectors in his work.
Pierre Apkarian connects Eigenvalues and eigenvectors with Quantum mechanics in his research.
His research combines Linear fractional transformation and Robust control.
As part of his studies on Linear fractional transformation, Pierre Apkarian often connects relevant areas like Robust control.
Pierre Apkarian most often published in these fields:
- Artificial intelligence (64.29%)
- Control (management) (61.90%)
- Mathematical optimization (59.52%)
What were the highlights of his more recent work (between 2010-2018)?
- Artificial intelligence (75.00%)
- Control (management) (75.00%)
- Control theory (sociology) (50.00%)
In recent works Pierre Apkarian was focusing on the following fields of study:
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Control (management).
His Control (management) study frequently draws connections between adjacent fields such as Control theory (sociology).
His Control theory (sociology) study frequently draws connections to other fields, such as Artificial intelligence.
He conducts interdisciplinary study in the fields of MATLAB and Programming language through his research.
In his study, he carries out multidisciplinary Programming language and MATLAB research.
In his research, he performs multidisciplinary study on Aeronautics and Aerodynamics.
He performs multidisciplinary study on Aerodynamics and Aeronautics in his works.
Many of his studies on Aerospace engineering involve topics that are commonly interrelated, such as Flight control surfaces.
His research is interdisciplinary, bridging the disciplines of Aerospace engineering and Flight control surfaces.
Between 2010 and 2018, his most popular works were:
- Structured H∞ Synthesis in MATLAB (90 citations)
- StructuredH∞-control of infinite-dimensional systems (37 citations)
- The H∞ Control Problem is Solved (5 citations)
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