What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
His primary areas of study are Control theory, Hybrid system, Control theory, Control system and Linear system.
His Control theory study integrates concerns from other disciplines, such as Control engineering and Stability.
His work carried out in the field of Hybrid system brings together such families of science as Stochastic modelling, Stability, Mathematical optimization, Algorithm and Monte Carlo method.
His Control theory study also includes fields such as
- Automatic control which intersects with area such as Vehicle dynamics, Telecommunications network, Network delay, Distributed computing and Communication channel,
- Process that connect with fields like Robot.
His Control system research includes elements of Sampling, Estimator, Differential equation, Integrator and Nonholonomic system.
Joao P. Hespanha has researched Linear system in several fields, including MATLAB, Bounded function, Lyapunov function and Flatness.
His most cited work include:
- Eigenfaces vs. Fisherfaces: recognition using class specific linear projection (10464 citations)
- A Survey of Recent Results in Networked Control Systems (3086 citations)
- Stability of switched systems with average dwell-time (1908 citations)
What are the main themes of his work throughout his whole career to date?
Joao P. Hespanha mostly deals with Control theory, Mathematical optimization, Control theory, Control system and Control engineering.
Control theory and Stability are frequently intertwined in his study.
His Mathematical optimization study combines topics in areas such as Hybrid system and Applied mathematics.
His Control theory research includes elements of Stability and Process.
Within one scientific family, Joao P. Hespanha focuses on topics pertaining to Distributed computing under Control system, and may sometimes address concerns connected to Telecommunications network and Computer network.
He has included themes like Lyapunov function and Mathematical analysis in his Exponential stability study.
He most often published in these fields:
- Control theory (41.12%)
- Mathematical optimization (18.69%)
- Control theory (16.36%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (41.12%)
- Mathematical optimization (18.69%)
- Algorithm (9.11%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Mathematical optimization, Algorithm, Greedy algorithm and Linear system.
His study in Control theory and Robust control falls within the category of Control theory.
His study on Linear quadratic optimal control is often connected to Data control as part of broader study in Control theory.
His Submodular maximization, Optimal control and Linear programming study in the realm of Mathematical optimization interacts with subjects such as Action and Context.
His work carried out in the field of Linear system brings together such families of science as State, Exponential stability and Topological entropy.
His Robustness course of study focuses on Secure state and Nonlinear system.
Between 2016 and 2021, his most popular works were:
- SMT-Based Observer Design for Cyber-Physical Systems under Sensor Attacks (41 citations)
- Control With Minimal Cost-Per-Symbol Encoding and Quasi-Optimality of Event-Based Encoders (31 citations)
- Supervisory Control of Discrete-Event Systems Under Attacks (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Statistics
His scientific interests lie mostly in Control theory, Upper and lower bounds, Mathematical optimization, Bounded function and Algorithm.
His study involves Tracking error and Linear system, a branch of Control theory.
Joao P. Hespanha interconnects Pure mathematics, Identity matrix, State, Exponential stability and Exponential growth in the investigation of issues within Linear system.
His biological study spans a wide range of topics, including Pairwise comparison, Noise, Commuting matrices, Eigenvalues and eigenvectors and Stability conditions.
His studies deal with areas such as Theory of computation and Double integrator as well as Mathematical optimization.
His Algorithm research integrates issues from Maximum likelihood, Node, Range, Distributed algorithm and Rate of convergence.
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