What is he best known for?
The fields of study he is best known for:
- Mathematical optimization
- Mathematical analysis
- Control theory
Kok Lay Teo spends much of his time researching Mathematical optimization, Control theory, Optimal control, Optimization problem and Applied mathematics.
His Mathematical optimization research includes themes of Sequence, Theory of computation and Nonlinear programming.
His Control theory research is multidisciplinary, incorporating perspectives in Class and Differential equation.
He has researched Optimal control in several fields, including Numerical analysis, Canonical form, Computation and Piecewise.
In Optimization problem, Kok Lay Teo works on issues like Constraint, which are connected to Nonlinear control.
His Applied mathematics study combines topics from a wide range of disciplines, such as Mathematical analysis, Existence theorem, Stability, Vector optimization and Function.
His most cited work include:
- A unified computational approach to optimal control problems (428 citations)
- Control parametrization: a unified approach to optimal control problems with general constraints (318 citations)
- Optimal control of distributed parameter systems (229 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Mathematical optimization, Control theory, Optimal control, Optimization problem and Nonlinear system.
His research integrates issues of Function, Sequence, Nonlinear programming and Constraint in his study of Mathematical optimization.
In his study, which falls under the umbrella issue of Control theory, Adaptive filter is strongly linked to Filter design.
In the field of Optimal control, his study on Linear-quadratic-Gaussian control overlaps with subjects such as Control.
His Optimization problem study frequently involves adjacent topics like Constrained optimization.
His research investigates the link between Nonlinear system and topics such as Applied mathematics that cross with problems in Class.
He most often published in these fields:
- Mathematical optimization (44.80%)
- Control theory (39.30%)
- Optimal control (31.23%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (39.30%)
- Mathematical optimization (44.80%)
- Optimization problem (17.19%)
In recent papers he was focusing on the following fields of study:
Kok Lay Teo mainly focuses on Control theory, Mathematical optimization, Optimization problem, Optimal control and Nonlinear system.
Control theory and Control are frequently intertwined in his study.
His Mathematical optimization study incorporates themes from Transformation, Process, Nonlinear programming, Constraint and Function.
His work in Optimization problem covers topics such as Random variable which are related to areas like Linear programming.
His work deals with themes such as Batch processing, Sequence, Control variable and Piecewise, which intersect with Optimal control.
His Nonlinear system study combines topics in areas such as Basis, Stochastic control, Error function, Applied mathematics and Robustness.
Between 2014 and 2021, his most popular works were:
- A new looped-functional for stability analysis of sampled-data systems (91 citations)
- Sampled-data-based dissipative control of T-S fuzzy systems (67 citations)
- Robust Filtering for Nonlinear Nonhomogeneous Markov Jump Systems by Fuzzy Approximation Approach (55 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Mathematical optimization
- Control theory
Kok Lay Teo focuses on Control theory, Mathematical optimization, Optimization problem, Nonlinear system and Applied mathematics.
His research in Control theory tackles topics such as Rate of convergence which are related to areas like Interval, Limit, Gradient method and Mimo systems.
Kok Lay Teo studies Mathematical optimization, namely Optimal control.
His Optimization problem study which covers Nonlinear programming that intersects with Estimation theory, Basis, Function and Key.
The concepts of his Nonlinear system study are interwoven with issues in Solver and Robustness.
His Applied mathematics research is multidisciplinary, relying on both Convex function, Parabolic partial differential equation, Stability and Sensitivity.
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