What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Topology
His primary areas of study are Control theory, Nonlinear system, Lipschitz continuity, Control engineering and Observer.
His study in Control theory focuses on Robustness, Exponential stability, Stability, Control theory and Robust control.
In his research on the topic of Robustness, Multivariable calculus is strongly related with PID controller.
Horacio J. Marquez is involved in the study of Nonlinear system that focuses on Nonlinear control in particular.
When carried out as part of a general Control engineering research project, his work on Controller design is frequently linked to work in Revolute joint, Serial manipulator and Imaging phantom, therefore connecting diverse disciplines of study.
His work carried out in the field of Observer brings together such families of science as Linear matrix inequality and Mathematical optimization.
His most cited work include:
- Nonlinear Control Systems: Analysis and Design (298 citations)
- Nonlinear Disturbance Observer Design For Robotic Manipulators (215 citations)
- IMC design for unstable processes with time delays (171 citations)
What are the main themes of his work throughout his whole career to date?
Horacio J. Marquez focuses on Control theory, Nonlinear system, Control engineering, Control theory and Lipschitz continuity.
Nonlinear control, Observer, Robustness, Control system and Robust control are the primary areas of interest in his Control theory study.
Many of his research projects under Nonlinear system are closely connected to Parametric statistics with Parametric statistics, tying the diverse disciplines of science together.
His Control engineering research is multidisciplinary, relying on both Disturbance, Teleoperation and Haptic technology.
His Control theory study combines topics in areas such as Numerical integration and Stability theory.
Horacio J. Marquez interconnects Multi-objective optimization, Constant and Euler's formula in the investigation of issues within Lipschitz continuity.
He most often published in these fields:
- Control theory (88.17%)
- Nonlinear system (54.84%)
- Control engineering (25.27%)
What were the highlights of his more recent work (between 2013-2021)?
- Control theory (88.17%)
- Nonlinear system (54.84%)
- Lipschitz continuity (17.74%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Control theory, Nonlinear system, Lipschitz continuity, Control theory and Control system.
His Control theory study integrates concerns from other disciplines, such as Mathematical optimization and Constant.
In the field of Nonlinear system, his study on Exponential stability overlaps with subjects such as Estimator.
In his study, which falls under the umbrella issue of Lipschitz continuity, Quantization, Dynamical systems theory, Linear matrix inequality and Applied mathematics is strongly linked to Optimization problem.
His Nonlinear control study in the realm of Control theory interacts with subjects such as Design methods.
His study focuses on the intersection of Control system and fields such as Control engineering with connections in the field of Disturbance.
Between 2013 and 2021, his most popular works were:
- Integral-based event-triggered control scheme for a general class of non-linear systems (40 citations)
- A novel approach to unknown input filter design for discrete-time linear systems (29 citations)
- Nonlinear Disturbance Observers: Design and Applications to Euler?Lagrange Systems (28 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Topology
Control theory, Nonlinear system, Lyapunov function, Exponential stability and Control system are his primary areas of study.
His Control theory research includes themes of Control and Lipschitz continuity.
His research ties Observer and Nonlinear system together.
His work on Lyapunov redesign and Control-Lyapunov function is typically connected to Nonlinear filter and Filter design as part of general Lyapunov function study, connecting several disciplines of science.
His research investigates the connection between Control system and topics such as Control engineering that intersect with problems in Disturbance and Constant.
His study in Control theory is interdisciplinary in nature, drawing from both Stability and Flow.
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.
