Richard M. Murray
California Institute of Technology
734 Papers
8.1K Citations
Richard M. Murray is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 97, co-authored 711 publications. Previous affiliations of Richard M. Murray include University of California, San Francisco & University of Washington.
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Papers
Consensus problems in networks of agents with switching topology and time-delays
TL;DR: A distinctive feature of this work is to address consensus problems for networks with directed information flow by establishing a direct connection between the algebraic connectivity of the network and the performance of a linear consensus protocol.
Consensus and Cooperation in Networked Multi-Agent Systems
Reza Olfati-Saber,J.A. Fax,Richard M. Murray +2 more
- 05 Mar 2007
TL;DR: A theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees is provided.
•Book
A Mathematical Introduction to Robotic Manipulation
Richard M. Murray,S. Shankar Sastry,Li Zexiang +2 more
- 22 Mar 1994
TL;DR: In this paper, the authors present a detailed overview of the history of multifingered hands and dextrous manipulation, and present a mathematical model for steerable and non-driveable hands.
7.8K
Information flow and cooperative control of vehicle formations
J.A. Fax,Richard M. Murray +1 more
TL;DR: A Nyquist criterion is proved that uses the eigenvalues of the graph Laplacian matrix to determine the effect of the communication topology on formation stability, and a method for decentralized information exchange between vehicles is proposed.
•Book
Feedback Systems: An Introduction for Scientists and Engineers
Karl Johan Åström,Richard M. Murray +1 more
- 21 Apr 2008
TL;DR: Feedback Systems develops transfer functions through the exponential response of a system, and is accessible across a range of disciplines that utilize feedback in physical, biological, information, and economic systems.