2014 - Fellow of the International Federation of Automatic Control (IFAC)
2012 - Member of the National Academy of Engineering For contributions to robust control, system identification, and methodology for control-structure interaction.
1995 - IEEE Fellow For contributions to integrated of design, modeling, and control of aerospace systems.
Robert E. Skelton mostly deals with Control theory, Control theory, Tensegrity, Linear system and Mathematical optimization. Control theory is closely attributed to Covariance function in his study. His work carried out in the field of Control theory brings together such families of science as Control, Covariance matrix and Damage detection.
His Tensegrity research is multidisciplinary, incorporating perspectives in Topology, Simulation, Buckling and Nonlinear system. He has included themes like Matrix, Quadratic equation, Discrete system, Applied mathematics and Convex optimization in his Linear system study. Robert E. Skelton interconnects Reduction and Decentralised system in the investigation of issues within Mathematical optimization.
His primary areas of investigation include Control theory, Tensegrity, Control theory, Mathematical optimization and Structural engineering. As part of the same scientific family, Robert E. Skelton usually focuses on Control theory, concentrating on Control engineering and intersecting with Control. The study incorporates disciplines such as Structure, Topology, Buckling, Nonlinear system and Stiffness in addition to Tensegrity.
His Control theory study incorporates themes from Matrix and Reduction. His Linear system research is multidisciplinary, incorporating elements of Quadratic equation, Applied mathematics and Convex optimization. His Optimal control study combines topics from a wide range of disciplines, such as Algorithm and Robust control.
Tensegrity, Structural engineering, Buckling, Control theory and Nonlinear system are his primary areas of study. The concepts of his Tensegrity study are interwoven with issues in Mechanical engineering, Bar, Softening, Stiffness and Topology. His study looks at the relationship between Structural engineering and fields such as Morphing, as well as how they intersect with chemical problems.
The various areas that Robert E. Skelton examines in his Buckling study include Structure, Constraint and Substructure. His research in Control theory intersects with topics in Linear programming and Convex optimization. His biological study spans a wide range of topics, including Systems design and Control theory.
The scientist’s investigation covers issues in Tensegrity, Structural engineering, Buckling, Minimum mass and Composite material. His Tensegrity study combines topics in areas such as Bar, Metal rubber, Dynamics and Topology. His work in Dynamics addresses issues such as Matrix differential equation, which are connected to fields such as Control theory.
Robert E. Skelton performs integrative study on Control theory and Constraint. His study in Topology is interdisciplinary in nature, drawing from both Matrix, Computation and Mathematical optimization, Minification. His Structural engineering research incorporates themes from Smart material and Morphing.
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.
STRUCTURAL CONTROL: PAST, PRESENT, AND FUTURE
G. W. Housner;L. A. Bergman;T. K. Caughey;A. G. Chassiakos.
Journal of Engineering Mechanics-asce (1997)
A Unified Algebraic Approach To Control Design
Robert E. Skelton;T. Iwasaki;K.M. Grigoriadis.
(1997)
All controllers for the general H ∞ control problem: LMI existence conditions and state space formulas
T. Iwasaki;R. E. Skelton.
Automatica (1994)
Stability tests for constrained linear systems
Maurício C. de Oliveira;Robert E. Skelton.
(2001)
Dynamic Systems Control: Linear Systems Analysis and Synthesis
R. E. Skelton.
(1988)
A covariance control theory
Anthony Hotz;Robert Skelton.
conference on decision and control (1985)
Paper: Low-order control design for LMI problems using alternating projection methods
Karolos M. Grigoriadis;Robert E. Skelton.
Automatica (1996)
Static output feedback controllers: stability and convexity
J.C. Geromel;C.C. de Souza;R.E. Skelton.
IEEE Transactions on Automatic Control (1998)
An introduction to the mechanics of tensegrity structures
R.E. Skelton;R. Adhikari;J.-P. Pinaud;Waileung Chan.
conference on decision and control (2001)
The XY-centring algorithm for the dual LMI problem: a new approach to fixed-order control design
T. Iwasaki;R. E. Skelton.
International Journal of Control (1995)
Profile was last updated on December 6th, 2021.
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