His primary areas of investigation include Control theory, Mobile robot, Control system, Trajectory and Topology. His study in Control theory is interdisciplinary in nature, drawing from both Control engineering, Motion planning and Nonholonomic system. Richard M. Murray combines subjects such as Control and Robot control with his study of Control engineering.
Within one scientific family, Richard M. Murray focuses on topics pertaining to State under Trajectory, and may sometimes address concerns connected to Stability. His work in Topology covers topics such as Graph theory which are related to areas like Laplacian matrix, Distributed computing, Graph and Bounded function. Richard M. Murray interconnects Telecommunications network, Network topology, Wireless sensor network and Multi-agent system in the investigation of issues within Distributed computing.
His scientific interests lie mostly in Control theory, Control engineering, Control theory, Mathematical optimization and Control system. He works mostly in the field of Control theory, limiting it down to topics relating to Network packet and, in certain cases, Kalman filter. Richard M. Murray has researched Control engineering in several fields, including Robustness and Mobile robot.
The subject of his Mobile robot research is within the realm of Robot. His work carried out in the field of Control theory brings together such families of science as Control and Temporal logic. As part of his studies on Control system, he often connects relevant areas like Hybrid system.
Richard M. Murray spends much of his time researching Synthetic biology, Control theory, Biological system, Control theory and Electronic circuit. Richard M. Murray works mostly in the field of Synthetic biology, limiting it down to concerns involving Modular design and, occasionally, Python. Control theory is a subfield of Control engineering that Richard M. Murray studies.
His Control engineering research includes themes of Stability and Control. The study incorporates disciplines such as Quorum sensing, Signal and Bayesian probability in addition to Biological system. While working on this project, Richard M. Murray studies both Control theory and Negative feedback.
Richard M. Murray mostly deals with Synthetic biology, Control theory, Control engineering, Temporal logic and Control. His Synthetic biology study also includes
His work on Time delays as part of general Control theory study is frequently connected to Theoretical methods, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His study in the fields of Inverted pendulum under the domain of Control theory overlaps with other disciplines such as Gaussian process. His Control engineering research is multidisciplinary, incorporating elements of Class, Stability, Robustness and Parametric statistics.
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.
Consensus problems in networks of agents with switching topology and time-delays
R. Olfati-Saber;R.M. Murray.
IEEE Transactions on Automatic Control (2004)
Consensus and Cooperation in Networked Multi-Agent Systems
R. Olfati-Saber;J.A. Fax;R.M. Murray.
Proceedings of the IEEE (2007)
A Mathematical Introduction to Robotic Manipulation
Richard M. Murray;S. Shankar Sastry;Li Zexiang.
Information flow and cooperative control of vehicle formations
J.A. Fax;R.M. Murray.
IEEE Transactions on Automatic Control (2004)
Feedback Systems: An Introduction for Scientists and Engineers
Karl Johan Astrom;Richard M. Murray.
Nonholonomic motion planning: steering using sinusoids
R.M. Murray;S.S. Sastry.
IEEE Transactions on Automatic Control (1993)
Recent Research in Cooperative Control of Multivehicle Systems
Richard M. Murray.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (2007)
Consensus protocols for networks of dynamic agents
R.O. Saber;R.M. Murray.
american control conference (2003)
IL-7 is critical for homeostatic proliferation and survival of naïve T cells
Joyce T. Tan;Eric Dudl;Eric LeRoy;Richard Murray.
Proceedings of the National Academy of Sciences of the United States of America (2001)
Nonholonomic Mechanical Systems with Symmetry
Anthony M. Bloch;P. S. Krishnaprasad;Jerrold E. Marsden;Richard M. Murray.
Archive for Rational Mechanics and Analysis (1996)
Profile was last updated on December 6th, 2021.
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