What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
Control theory, Adaptive control, Model predictive control, Control engineering and Control theory are his primary areas of study.
His work on Linear system as part of general Control theory study is frequently linked to Context, bridging the gap between disciplines.
He interconnects Estimation theory and Stochastic control in the investigation of issues within Adaptive control.
The Model predictive control study combines topics in areas such as Master/slave, Teleoperation and Inverted pendulum.
His work on Uncertain systems and Robust control as part of general Control engineering study is frequently connected to Supervisor, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
His biological study spans a wide range of topics, including Stability and Adaptive switching.
His most cited work include:
- Nonlinear control of constrained linear systems via predictive reference management (398 citations)
- Robust H2 and H∞ filtering for uncertain linear systems (284 citations)
- Optimal, Predictive and Adaptive Control (207 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Model predictive control, Adaptive control, Control engineering and Control theory.
His studies deal with areas such as Bounded function, Mathematical optimization and Supervisory control as well as Control theory.
The Model predictive control study which covers Nonlinear system that intersects with Quadratic programming.
The various areas that Edoardo Mosca examines in his Adaptive control study include Stability, Self-tuning, Robust control, Robustness and Adaptive switching.
His Control engineering research incorporates themes from Control and Actuator.
His Control theory research integrates issues from Time horizon, Optimal control and Feed forward.
He most often published in these fields:
- Control theory (85.15%)
- Model predictive control (33.17%)
- Adaptive control (31.68%)
What were the highlights of his more recent work (between 2005-2014)?
- Control theory (85.15%)
- Control engineering (31.19%)
- Adaptive control (31.68%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Control engineering, Adaptive control, Control and Control theory.
His Control theory research is multidisciplinary, incorporating perspectives in Algorithm, Model predictive control and Supervisory control.
His Model predictive control research is multidisciplinary, incorporating elements of Nonlinear control, LTI system theory and Mathematical optimization.
His study on Dead-beat control is often connected to Scheme, Supervisor, Context and Port as part of broader study in Control engineering.
Edoardo Mosca has researched Adaptive control in several fields, including Stability, Adaptive switching and Robust control, Robustness.
Edoardo Mosca has included themes like Transfer, Quadratic cost, Realization and Large Binocular Telescope in his Control theory study.
Between 2005 and 2014, his most popular works were:
- Robust H2 and H∞ filtering for uncertain linear systems (284 citations)
- An ellipsoidal off-line MPC scheme for uncertain polytopic discrete-time systems (112 citations)
- Unfalsified Virtual Reference Adaptive Switching Control of Plants with Persistent Disturbances (102 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Algorithm
Edoardo Mosca mainly focuses on Control theory, Adaptive control, Control theory, Stability and Control engineering.
His Control theory study incorporates themes from Control and Model predictive control.
His work investigates the relationship between Control and topics such as Model free that intersect with problems in Linear system.
His studies in Model predictive control integrate themes in fields like Master/slave, Optimization problem, Mathematical optimization and Computation.
He regularly links together related areas like Supervisory control in his Control theory studies.
His Discrete time and continuous time research includes themes of Tracking error and Robust control.
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