What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Algebra
Krzysztof Galkowski mainly focuses on Control theory, Iterative learning control, Linear system, Linear matrix inequality and Multidimensional systems.
His studies deal with areas such as Control and Mathematical optimization as well as Control theory.
His work deals with themes such as Basis, Differential and Controller design, which intersect with Mathematical optimization.
The study incorporates disciplines such as Stability, Finite set, Control engineering, Systems theory and Robustness in addition to Iterative learning control.
His Linear matrix inequality research incorporates themes from Control theory and Linear matrix.
In his research, Structure, State and Computability is intimately related to Full state feedback, which falls under the overarching field of Multidimensional systems.
His most cited work include:
- Control Systems Theory and Applications for Linear Repetitive Processes (254 citations)
- Experimentally supported 2D systems based iterative learning control law design for error convergence and performance (167 citations)
- Robust stability and stabilisation of 2D discrete state-delayed systems (150 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Iterative learning control, Linear system, Stability and Mathematical optimization.
His Control theory research is multidisciplinary, incorporating elements of Control engineering and Process.
His Iterative learning control research is multidisciplinary, incorporating perspectives in Lyapunov function, Iterative method and Control theory, Adaptive control.
His studies in Linear system integrate themes in fields like Differential, Control system, Process control, Multidimensional systems and Systems theory.
The concepts of his Systems theory study are interwoven with issues in Class and Controllability.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Discretization and Robustness.
He most often published in these fields:
- Control theory (68.62%)
- Iterative learning control (36.99%)
- Linear system (33.16%)
What were the highlights of his more recent work (between 2015-2021)?
- Control theory (68.62%)
- Iterative learning control (36.99%)
- Nonlinear system (10.20%)
In recent papers he was focusing on the following fields of study:
Krzysztof Galkowski mainly investigates Control theory, Iterative learning control, Nonlinear system, Stability theory and Applied mathematics.
His work carried out in the field of Control theory brings together such families of science as Differential and Process.
His research in Iterative learning control intersects with topics in Linear matrix inequality, Mathematical optimization, Lyapunov function and Control engineering, Feed forward.
In his work, Process control is strongly intertwined with Passivity, which is a subfield of Nonlinear system.
Krzysztof Galkowski combines subjects such as System matrix, Multidimensional systems, Class, State-space representation and Exponential function with his study of Applied mathematics.
As part of the same scientific family, Krzysztof Galkowski usually focuses on Linear system, concentrating on Class and intersecting with Topology.
Between 2015 and 2021, his most popular works were:
- Experimentally verified generalized KYP Lemma based iterative learning control design (61 citations)
- Iterative learning fault-tolerant control for differential time-delay batch processes in finite frequency domains ☆ (36 citations)
- Performance-Enhanced Robust Iterative Learning Control With Experimental Application to PMSM Position Tracking (24 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Algebra
Krzysztof Galkowski focuses on Control theory, Iterative learning control, Applied mathematics, Nonlinear system and Process.
His Control theory study integrates concerns from other disciplines, such as Differential and Time complexity.
His work deals with themes such as Exponential stability and Lyapunov function, which intersect with Differential.
His Iterative learning control research integrates issues from Stability, Linear matrix inequality, Control engineering, Lemma and Monotonic function.
Krzysztof Galkowski interconnects Function and Passivity in the investigation of issues within Nonlinear system.
His work in Process tackles topics such as Matrix which are related to areas like Batch processing, H-infinity methods in control theory, Tracking error and Stability conditions.
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.
