What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
His scientific interests lie mostly in Control theory, Nonlinear system, Adaptive control, Control theory and Control.
The Control theory study combines topics in areas such as Estimation theory, Mathematical optimization and Model predictive control.
His Nonlinear system research focuses on subjects like Function, which are linked to Control system and Dither.
His work is dedicated to discovering how Adaptive control, Operating point are connected with Hybrid system and Fuel efficiency and other disciplines.
His work in Control theory tackles topics such as Lyapunov function which are related to areas like Continuous stirred-tank reactor and Stability theorem.
His Lyapunov stability study, which is part of a larger body of work in Control, is frequently linked to Substrate concentration, bridging the gap between disciplines.
His most cited work include:
- Brief Adaptive extremum seeking control of nonlinear dynamic systems with parametric uncertainties (232 citations)
- Adaptive model predictive control for constrained nonlinear systems (160 citations)
- Extremum-seeking control of state-constrained nonlinear systems (143 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Nonlinear system, Mathematical optimization, Control theory and Control.
His Control theory research includes themes of Estimation theory and Model predictive control.
Martin Guay interconnects Function, Control system, Stability and Class in the investigation of issues within Nonlinear system.
His Mathematical optimization research is multidisciplinary, incorporating elements of Discrete time and continuous time and Robust control.
Much of his study explores Control relationship to Control engineering.
His studies link Adaptive learning with Lyapunov function.
He most often published in these fields:
- Control theory (73.86%)
- Nonlinear system (42.81%)
- Mathematical optimization (34.31%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (73.86%)
- Nonlinear system (42.81%)
- Control (20.26%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Nonlinear system, Control, Mathematical optimization and Control theory.
Control theory is closely attributed to Function in his research.
His Nonlinear system research includes elements of Observer, Class and Algebra.
His work carried out in the field of Control brings together such families of science as Average consensus and Nonlinear programming.
His Mathematical optimization study incorporates themes from Control system and MATLAB.
His research in Control theory intersects with topics in Estimation theory, Discrete time and continuous time and Maximization.
Between 2016 and 2021, his most popular works were:
- A proportional-integral extremum-seeking controller design technique (31 citations)
- An Extremum-Seeking Controller for Distributed Optimization over Sensor Networks (25 citations)
- Distributed extremum-seeking control over networks of dynamically coupled unstable dynamic agents (15 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
His primary areas of investigation include Control theory, Control theory, Mathematical optimization, Control and Optimization problem.
His Nonlinear system, Nonlinear dynamical systems and Trajectory study in the realm of Control theory connects with subjects such as Electricity generation and Cost estimate.
In general Nonlinear system, his work in Controller design is often linked to Separation linking many areas of study.
His work deals with themes such as Estimation theory, Continuous optimization, Metaheuristic and Maximization, which intersect with Control theory.
His research integrates issues of Control system and Structure in his study of Mathematical optimization.
His Control research incorporates elements of Average consensus and Multi-agent system.
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