What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Mark J. Balas focuses on Control theory, Control theory, Distributed parameter system, Adaptive control and Wind speed.
The various areas that Mark J. Balas examines in his Control theory study include Turbine and Mathematical analysis.
His study with Control theory involves better knowledge in Control engineering.
The study incorporates disciplines such as Residual and Galerkin method in addition to Distributed parameter system.
His study looks at the relationship between Adaptive control and fields such as Bounded function, as well as how they intersect with chemical problems.
His Wind speed study combines topics in areas such as Electronic speed control, Variable speed wind turbine, Torque and Blade pitch.
His most cited work include:
- Feedback control of flexible systems (709 citations)
- Active control of flexible systems (632 citations)
- Trends in large space structure control theory: Fondest hopes, wildest dreams (604 citations)
What are the main themes of his work throughout his whole career to date?
Mark J. Balas mainly focuses on Control theory, Adaptive control, Control theory, Control engineering and Turbine.
His Control theory study frequently involves adjacent topics like Residual.
His studies deal with areas such as Disturbance, Turbine blade, Hilbert space, Bounded function and Robustness as well as Adaptive control.
His work deals with themes such as Minimum phase, Tracking, Finite element method and Adaptive filter, which intersect with Control theory.
His study in Control engineering is interdisciplinary in nature, drawing from both Stability, Vibration, Control, Actuator and Aerospace.
His Turbine research is multidisciplinary, relying on both PID controller, Wind speed and Torque.
He most often published in these fields:
- Control theory (79.65%)
- Adaptive control (42.81%)
- Control theory (37.54%)
What were the highlights of his more recent work (between 2015-2020)?
- Control theory (79.65%)
- Adaptive control (42.81%)
- Minimum phase (4.91%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Control theory, Adaptive control, Minimum phase, Hilbert space and Control theory.
His Control theory research includes elements of Control engineering and Control.
His work carried out in the field of Adaptive control brings together such families of science as Actuator, Distributed parameter system and Robustness.
His Minimum phase study deals with Linear system intersecting with Eigenvalues and eigenvectors.
His research in Hilbert space intersects with topics in Bounded function, Linear map, Topology and Exponential stability.
His Control theory research is multidisciplinary, incorporating perspectives in Aircraft dynamics, Turbine, Vehicle dynamics and Stability margin.
Between 2015 and 2020, his most popular works were:
- Stall Flutter Control of a Smart Blade Section Undergoing Asymmetric Limit Oscillations (12 citations)
- Trajectory-Driven Adaptive Control of Autonomous Unmanned Aerial Vehicles with Disturbance Accommodation (9 citations)
- Disturbance Accommodating Control Design for Wind Turbines Using Solvability Conditions (8 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
His primary areas of investigation include Control theory, Adaptive control, Disturbance, Control and Control engineering.
His Trajectory study in the realm of Control theory interacts with subjects such as Orbital motion.
His Adaptive control research is included under the broader classification of Control theory.
The Control theory study combines topics in areas such as Propulsion and Vehicle dynamics.
Mark J. Balas interconnects Wind speed, Turbine, Blade pitch, Automotive engineering and Torque in the investigation of issues within Control.
Mark J. Balas combines subjects such as Aerodynamics, Morphing and Fuselage with his study of Control engineering.
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