2005 - Fellow of the International Federation of Automatic Control (IFAC)
2002 - Member of the National Academy of Engineering For contributions to system and control theory, and for international leadership in promoting engineering science and technology.
1997 - IEEE Control Systems Award "For contributions in the areas of adaptive and optimal control, stability, and system identification."
1989 - Fellow of the Royal Society, United Kingdom
Brian D. O. Anderson mainly focuses on Control theory, Linear system, Applied mathematics, Mathematical optimization and Adaptive control. Control theory is represented through his Control theory, Stability, Control system, Transfer function and Nonlinear system research. His Linear system study also includes fields such as
Brian D. O. Anderson has researched Applied mathematics in several fields, including Lyapunov function and Algebraic number. His Mathematical optimization study incorporates themes from Algorithm and Graph theory. His Adaptive control research is multidisciplinary, incorporating elements of Identification, System identification, Adaptive system and Robust control.
Brian D. O. Anderson focuses on Control theory, Applied mathematics, Mathematical optimization, Linear system and Topology. His research in Control theory, Adaptive control, Transfer function, Stability and Nonlinear system are components of Control theory. His Control theory research integrates issues from Control system and Identification.
His study with Adaptive control involves better knowledge in Control engineering. His Applied mathematics research is multidisciplinary, relying on both Discrete mathematics, Convergence and Linear equation. His work investigates the relationship between Mathematical optimization and topics such as Algorithm that intersect with problems in Wireless sensor network.
Applied mathematics, Topology, Convergence, Linear equation and Matrix are his primary areas of study. His work carried out in the field of Applied mathematics brings together such families of science as Smoothing, Marginal distribution, Distribution, Rate of convergence and Least squares. In his study, Monotone polygon is inextricably linked to Exponential stability, which falls within the broad field of Topology.
His study in Convergence is interdisciplinary in nature, drawing from both Function, Algorithm and Multi-agent system. His biological study spans a wide range of topics, including Control system, Control and Mathematical optimization. The concepts of his Linear equation study are interwoven with issues in Distributed algorithm and Discrete mathematics.
Brian D. O. Anderson spends much of his time researching Convergence, Multi-agent system, Laplacian matrix, Applied mathematics and Control theory. His Convergence research is multidisciplinary, incorporating perspectives in Exponential function and Topology. His study looks at the relationship between Multi-agent system and fields such as Group, as well as how they intersect with chemical problems.
Brian D. O. Anderson combines subjects such as Matrix and Interdependence with his study of Laplacian matrix. His research integrates issues of Signal-to-noise ratio, Spurious relationship, Rate of convergence, Granger causality and Least squares in his study of Applied mathematics. Brian D. O. Anderson integrates Control theory and Control in his studies.
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.
Brian D. O. Anderson;John B. Moore;Mansour Eslami.
Optimal control: linear quadratic methods
Brian D. O. Anderson;John B. Moore.
Linear Optimal Control
B. D. O. Anderson;J. B. Pren;S. L. Dickerson.
Journal of Dynamic Systems Measurement and Control-transactions of The Asme (1971)
Wireless sensor network localization techniques
Guoqiang Mao;Barış Fidan;Brian D. O. Anderson.
Computer Networks (2007)
Linear Optimal Control
B. D. O. Anderson;J. B. Moore;B. P. Molinari.
IEEE Transactions on Systems, Man, and Cybernetics (1972)
Network Analysis and Synthesis: A Modern Systems Theory Approach
Brian D. O. Anderson;Sumeth Vongpanitlerd.
Model reduction for control system design
Goro Obinata;Brian Anderson.
Controller reduction: concepts and approaches
B.D.O. Anderson;Y. Liu.
IEEE Transactions on Automatic Control (1989)
Stability of adaptive systems: passivity and averaging analysis
Brian D. O. Anderson;Robert R. Bitmead;C. Richard Johnson;Petar V. Kokotovic.
Stability of adaptive systems: passivity and averaging analysis (1986)
A Theory of Network Localization
J. Aspnes;T. Eren;D.K. Goldenberg;A.S. Morse.
IEEE Transactions on Mobile Computing (2006)
Profile was last updated on December 6th, 2021.
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