What is he best known for?
The fields of study he is best known for:
- Programming language
- Control theory
- Artificial intelligence
His scientific interests lie mostly in Control system, Control theory, Control engineering, Hybrid system and Linear system.
His Control system research integrates issues from Distributed computing, Temporal logic, Control theory, Computation and Supervisory control.
His research in Control theory focuses on subjects like Software, which are connected to Controller design, Key and Task analysis.
His Control theory research is multidisciplinary, incorporating perspectives in Control and Quadratic equation.
His Control engineering research includes themes of Implementation, Automatic control and Nonlinear system.
The concepts of his Linear system study are interwoven with issues in Linear temporal logic, Secure state, State, Discrete time and continuous time and Polynomial.
His most cited work include:
- Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks (2429 citations)
- An introduction to event-triggered and self-triggered control (996 citations)
- Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks (747 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Control system, Control engineering, Control theory and Linear system.
His research investigates the link between Control theory and topics such as State that cross with problems in Actuator, Modulo and Observability.
He has researched Control system in several fields, including Theoretical computer science, Distributed computing, Nonlinear system, Computation and Implementation.
His work is dedicated to discovering how Control engineering, Control are connected with Computer security and other disciplines.
His research integrates issues of Software, State space, Hybrid system and Trajectory in his study of Control theory.
The various areas that he examines in his Linear system study include Function, Invariant, Mathematical optimization and Finite set.
He most often published in these fields:
- Control theory (31.49%)
- Control system (26.30%)
- Control engineering (21.45%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (31.49%)
- Computer security (5.54%)
- Cyber-physical system (10.03%)
In recent papers he was focusing on the following fields of study:
Paulo Tabuada mainly focuses on Control theory, Computer security, Cyber-physical system, Cloud computing and State.
Paulo Tabuada combines subjects such as Data-driven and Quadratic equation with his study of Control theory.
Paulo Tabuada focuses mostly in the field of Quadratic equation, narrowing it down to matters related to Equilibrium point and, in some cases, Linear system.
His Computer security research includes elements of Class and Secure state.
His study in State is interdisciplinary in nature, drawing from both Observability, Actuator and Modulo.
His research on Inference frequently connects to adjacent areas such as Control system.
Between 2018 and 2021, his most popular works were:
- Control Barrier Functions: Theory and Applications (141 citations)
- Control Barrier Functions: Theory and Applications (35 citations)
- Supervisory Control of Discrete-Event Systems Under Attacks (23 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Artificial intelligence
- Algorithm
Systems engineering, Work, Control, Context and Linear system are his primary areas of study.
Paulo Tabuada brings together Work and Robotic systems to produce work in his papers.
His Linear system study combines topics in areas such as Lift, Probabilistic logic, Invariant, Function and Algorithm.
His Invariant study typically links adjacent topics like Computation.
His Computation research incorporates elements of Systems theory, Control, Physical law and Cyber-physical system.
His Algorithm research is multidisciplinary, incorporating elements of Stability, Black box, Dynamical system and Finite set.
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