What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
His main research concerns Control theory, Control engineering, Adaptive control, Youla–Kucera parametrization and Identification.
In most of his Control theory studies, his work intersects topics such as Estimation theory.
His Control engineering study also includes fields such as
- Control theory most often made with reference to Digital control,
- System identification which connect with Mechatronics.
His Adaptive control research is multidisciplinary, relying on both Linear system and Feed forward.
To a larger extent, he studies Active vibration control with the aim of understanding Youla–Kucera parametrization.
The Identification study combines topics in areas such as State, Management science and Recursive algorithms.
His most cited work include:
- Adaptive Control (387 citations)
- A survey of model reference adaptive techniques-Theory and applications (318 citations)
- Unbiased recursive identification using model reference adaptive techniques (256 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Control engineering, Adaptive control, Active vibration control and Control theory.
His work deals with themes such as Identification and System identification, which intersect with Control theory.
His Control engineering study incorporates themes from Control system, Digital control and Adaptive system.
The Adaptive control study which covers Adaptation that intersects with Hyperstability.
His Active vibration control study integrates concerns from other disciplines, such as Active noise control, Actuator and Internal model.
As part of one scientific family, he deals mainly with the area of Robust control, narrowing it down to issues related to the Full state feedback, and often Discrete time and continuous time.
He most often published in these fields:
- Control theory (78.12%)
- Control engineering (40.18%)
- Adaptive control (34.82%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (78.12%)
- Active vibration control (24.55%)
- Feed forward (14.73%)
In recent papers he was focusing on the following fields of study:
Ioan Doré Landau mostly deals with Control theory, Active vibration control, Feed forward, Adaptive control and Active noise control.
His Control theory study frequently draws parallels with other fields, such as Youla–Kucera parametrization.
His Active vibration control research includes themes of Control engineering, Algorithm, Digital control and Actuator.
Test and Parameter estimation algorithm is closely connected to Identification in his research, which is encompassed under the umbrella topic of Control engineering.
His work deals with themes such as Discretization and Full state feedback, which intersect with Digital control.
His Feed forward research includes elements of Noise control and Vibration compensation.
Between 2015 and 2021, his most popular works were:
- Adaptive and robust active vibration control (15 citations)
- Robust and Adaptive Active Vibration Control Using an Inertial Actuator (9 citations)
- Robust Direct Adaptive Regulation of Unknown Disturbances in the Vicinity of Low-Damped Complex Zeros—Application to AVC (7 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Statistics
- Artificial intelligence
Ioan Doré Landau mainly focuses on Control theory, Active vibration control, Youla–Kucera parametrization, Active noise control and Internal model.
Ioan Doré Landau studies Control theory, focusing on Control theory in particular.
The study of Active vibration control is intertwined with the study of Adaptive control in a number of ways.
Control engineering covers he research in Adaptive control.
The concepts of his Youla–Kucera parametrization study are interwoven with issues in Stability and Benchmark.
His work in Active noise control addresses issues such as System identification, which are connected to fields such as Compensation, Transfer function and Control system.
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