What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Control theory
- Geometry
His scientific interests lie mostly in Optimal control, Mathematical optimization, Pseudospectral optimal control, Legendre pseudospectral method and Gauss pseudospectral method.
His Optimal control research includes elements of Differential inclusion and Computation.
In general Mathematical optimization, his work in Trajectory optimization is often linked to Concept of operations and Categorical variable linking many areas of study.
His Trajectory optimization research integrates issues from Perspective, Flight planning and Integer programming.
His Nonlinear programming research is multidisciplinary, incorporating elements of Lagrange polynomial, Boundary value problem, Collocation method and Trajectory.
His Control system and Flatness study, which is part of a larger body of work in Control theory, is frequently linked to Convexity and Obstacle avoidance, bridging the gap between disciplines.
His most cited work include:
- Direct trajectory optimization by a Chebyshev pseudospectral method (415 citations)
- Costate Estimation by a Legendre Pseudospectral Method (380 citations)
- Pseudospectral Knotting Methods for Solving Optimal Control Problems (239 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Optimal control, Control theory, Mathematical optimization, Pseudospectral optimal control and Legendre pseudospectral method.
His work in the fields of Optimal control, such as Trajectory optimization, overlaps with other areas such as Covector mapping principle.
His studies deal with areas such as Gravitation and Linear form as well as Trajectory optimization.
His Control theory research is multidisciplinary, incorporating perspectives in Spacecraft, Computation, Thrust and Bellman equation.
His study in the field of Optimization problem also crosses realms of Monte Carlo method.
I. Michael Ross frequently studies issues relating to Gauss pseudospectral method and Pseudospectral optimal control.
He most often published in these fields:
- Optimal control (59.55%)
- Control theory (38.20%)
- Mathematical optimization (35.96%)
What were the highlights of his more recent work (between 2010-2019)?
- Control theory (38.20%)
- Optimal control (59.55%)
- Mathematical optimization (35.96%)
In recent papers he was focusing on the following fields of study:
I. Michael Ross mainly focuses on Control theory, Optimal control, Mathematical optimization, Spacecraft and Pseudospectral optimal control.
His studies examine the connections between Control theory and genetics, as well as such issues in Control engineering, with regards to Singularity.
His research ties Attitude control and Optimal control together.
His work on Hamiltonian and Minification as part of general Mathematical optimization research is often related to Monte Carlo method, Riemann–Stieltjes integral and Unscented transform, thus linking different fields of science.
I. Michael Ross has researched Spacecraft in several fields, including Telescope and Simulation.
His Pseudospectral optimal control study frequently links to other fields, such as Legendre pseudospectral method.
Between 2010 and 2019, his most popular works were:
- A review of pseudospectral optimal control: From theory to flight (232 citations)
- Flight Implementation of Shortest-Time Maneuvers for Imaging Satellites (38 citations)
- Riemann–Stieltjes Optimal Control Problems for Uncertain Dynamic Systems (23 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Control theory
- Geometry
I. Michael Ross mainly investigates Pseudospectral optimal control, Control theory, Optimal control, Spacecraft and Legendre pseudospectral method.
You can notice a mix of various disciplines of study, such as Mathematical optimization, Riemann–Stieltjes integral, Minification, Sobolev space and Space, in his Pseudospectral optimal control studies.
His biological study spans a wide range of topics, including Quaternion and Aerospace.
His work in Control theory is not limited to one particular discipline; it also encompasses Term.
His Spacecraft research is multidisciplinary, relying on both Simulation and Trace space.
Legendre pseudospectral method overlaps with fields such as Trajectory optimization, Constrained optimization, Bellman equation, Bellman pseudospectral method and Covector mapping principle in his research.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
