What is he best known for?
The fields of study he is best known for:
- Control theory
- Electrical engineering
- Artificial intelligence
Roberto Horowitz mainly focuses on Control theory, Adaptive control, Control engineering, Control system and Control theory.
The study of Control theory is intertwined with the study of Motion control in a number of ways.
His research in Adaptive control intersects with topics in Gyroscope, Estimation theory, Robot control and Robot manipulator.
His work carried out in the field of Control engineering brings together such families of science as Stability, Iterative learning control, Hybrid system, Artificial intelligence and Robot kinematics.
His research investigates the connection with Control system and areas like Industrial robot which intersect with concerns in Manifold and Lissajous curve.
His biological study spans a wide range of topics, including Dynamical friction, Actuator, Automatic control and Partners for Advanced Transit and Highways.
His most cited work include:
- Stability and robustness analysis of a class of adaptive controllers for robotic manipulators (463 citations)
- Control design of an automated highway system (353 citations)
- Optimal freeway ramp metering using the asymmetric cell transmission model (257 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Control theory, Control engineering, Adaptive control and Simulation.
His Control theory study focuses mostly on Servomechanism, Actuator, Control system, Robust control and Nonlinear system.
His Control theory study combines topics in areas such as Link layer and Feed forward.
His Control engineering research incorporates elements of Iterative learning control, Control, Robot, Motion control and Hybrid system.
In his study, Microelectromechanical systems is inextricably linked to Gyroscope, which falls within the broad field of Adaptive control.
His Simulation course of study focuses on Traffic flow and Real-time computing.
He most often published in these fields:
- Control theory (55.18%)
- Control theory (24.55%)
- Control engineering (22.30%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (55.18%)
- Mathematical optimization (7.66%)
- Real-time computing (6.76%)
In recent papers he was focusing on the following fields of study:
Roberto Horowitz mostly deals with Control theory, Mathematical optimization, Real-time computing, State and Feed forward.
The study incorporates disciplines such as Control engineering and Model predictive control in addition to Control theory.
His Mathematical optimization research includes themes of Routing, Network congestion and Aggregate.
His Real-time computing study integrates concerns from other disciplines, such as Energy consumption, Fault detection and isolation, Probabilistic logic and Traffic flow.
The various areas that Roberto Horowitz examines in his State study include Trajectory and Nonlinear system.
In the field of Control theory, his study on Adaptive control overlaps with subjects such as Steady state.
Between 2014 and 2021, his most popular works were:
- Fusing Loop and GPS Probe Measurements to Estimate Freeway Density (29 citations)
- Computationally efficient model predictive control of freeway networks (29 citations)
- Can the Presence of Autonomous Vehicles Worsen the Equilibrium State of Traffic Networks (17 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Electrical engineering
- Artificial intelligence
Roberto Horowitz mainly investigates Control theory, Mathematical optimization, Optimization problem, Real-time computing and Model predictive control.
Roberto Horowitz regularly links together related areas like Control engineering in his Control theory studies.
As a part of the same scientific study, Roberto Horowitz usually deals with the Optimization problem, concentrating on Queue and frequently concerns with Traffic congestion, Hybrid system and Base.
Roberto Horowitz has researched Real-time computing in several fields, including Robot, Robot end effector, Mobile robot and Probabilistic logic.
His Model predictive control research is multidisciplinary, incorporating elements of Cell Transmission Model, Vehicle dynamics and Metering mode.
His work focuses on many connections between Cell Transmission Model and other disciplines, such as Terminal, that overlap with his field of interest in Control theory.
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