World's Best Scientists 2026 revealed!
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Electronics and Electrical Engineering
USA
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
106
Citations
98975
World Ranking
124
National Ranking
61

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in United States Leader Award
  • 2017 - IEEE Control Systems Award “For contributions to the theory and applications of nonlinear and networked control systems.”

Overview

Richard M. Murray is affiliated with the California Institute of Technology in the United States. Their research spans multiple disciplines including biochemistry, genetics, molecular biology, and computer science. Within these fields, their work extensively covers molecular biology, computational theory and mathematics, software, artificial intelligence, and control and systems engineering.

Their recent published papers reflect a focus on synthetic biology, control systems, and computational methods. Selected titles include:

  • Synthetic mammalian signaling circuits for robust cell population control (2022, Cell)
  • Control education for societal-scale challenges: A community roadmap (2023, Annual Reviews in Control)
  • Robust Safe Control Synthesis with Disturbance Observer-Based Control Barrier Functions (2022, 2022 IEEE 61st Conference on Decision and Control)
  • The Python Control Systems Library (python-control) (2021, 2021 60th IEEE Conference on Decision and Control)
  • Integrase-mediated differentiation circuits improve evolutionary stability of burdensome and toxic functions in E. coli (2022, Nature Communications)

The scientist collaborates frequently with other researchers, including Aaron D. Ames, Ayush Pandey, Josefine B. Graebener, Mohamadreza Ahmadi, and Elin M. Larsson. Their publications often appear in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), ACS Synthetic Biology, Cureus, and the IEEE Conference on Decision and Control.

The main topics covered by their work are diverse and include:

  • Gene Regulatory Network Analysis
  • Formal Methods in Verification
  • CRISPR and Genetic Engineering
  • Bacterial Genetics and Biotechnology
  • Software Testing and Debugging Techniques
  • Viral Infectious Diseases and Gene Expression in Insects
  • RNA and protein synthesis mechanisms

In addition to articles, Richard M. Murray has contributed to book publications. One notable work is Feedback Systems: An Introduction for Scientists and Engineers, Second Edition, published by Lund University in 2021.

Their contributions to nonlinear and networked control systems were recognized with the IEEE Control Systems Award in 2017, citing their work in theory and applications.

Best Publications

  • Consensus problems in networks of agents with switching topology and time-delays

    R. Olfati-Saber;R.M. Murray

  • Consensus and Cooperation in Networked Multi-Agent Systems

    R. Olfati-Saber;J.A. Fax;R.M. Murray

  • A Mathematical Introduction to Robotic Manipulation

    Richard M. Murray;S. Shankar Sastry;Li Zexiang

  • A Mathmematical Introduction to Robotic Manipulation

    Richard M. Murray;Zexiang Li;S. Shankar Sastry

  • Information flow and cooperative control of vehicle formations

    J.A. Fax;R.M. Murray

  • 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

  • Recent Research in Cooperative Control of Multivehicle Systems

    Richard M. Murray

  • Consensus protocols for networks of dynamic agents

    R.O. Saber;R.M. Murray

  • Nonholonomic Mechanical Systems with Symmetry

    Anthony M. Bloch;P. S. Krishnaprasad;Jerrold E. Marsden;Richard M. Murray

  • Distributed receding horizon control for multi-vehicle formation stabilization

    William B. Dunbar;Richard M. Murray

  • DISTRIBUTED COOPERATIVE CONTROL OF MULTIPLE VEHICLE FORMATIONS USING STRUCTURAL POTENTIAL FUNCTIONS

    Reza Olfati-Saber;Richard M. Murray

  • A motion planner for nonholonomic mobile robots

    J.-P. Laumond;P.E. Jacobs;M. Taix;R.M. Murray

  • Stabilization of trajectories for systems with nonholonomic constraints

    G. Walsh;D. Tilbury;S. Sastry;R. Murray

  • Future directions in control in an information-rich world

    R.M. Murray;K.J. Astrom;S.P. Boyd;R.W. Brockett

  • Privacy preserving average consensus

    Yilin Mo;Richard M. Murray

  • On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage

    Vijay Gupta;Timothy H. Chung;Babak Hassibi;Richard M. Murray

  • Exponential stabilization of driftless nonlinear control systems using homogeneous feedback

    R.T. M'Closkey;R.M. Murray

  • End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

    Richard Cheng;Gábor Orosz;Richard M. Murray;Joel W. Burdick

  • Trajectory generation for the N-trailer problem using Goursat normal form

    D. Tilbury;R.M. Murray;S. Shankar Sastry

  • Graph rigidity and distributed formation stabilization of multi-vehicle systems

    R. Olfati-Saber;R.M. Murray

  • INFORMATION FLOW AND COOPERATIVE CONTROL OF VEHICLE FORMATIONS

    J. Alexander Fax;Richard M. Murray

Frequent Co-Authors

Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Ling Shi
Ling Shi Hong Kong University of Science and Technology
Shankar Sastry
Shankar Sastry University of California, Berkeley
Vijay Gupta
Vijay Gupta Purdue University West Lafayette
Babak Hassibi
Babak Hassibi California Institute of Technology
Yasamin Mostofi
Yasamin Mostofi University of California, Santa Barbara
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Aaron D. Ames
Aaron D. Ames California Institute of Technology
Dawn M. Tilbury
Dawn M. Tilbury University of Michigan–Ann Arbor
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley

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