What is he best known for?
The fields of study he is best known for:
- Control theory
- Statistics
- Artificial intelligence
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
- Stability theory together with Exponential stability,
- Linear-quadratic-Gaussian control, which have a strong connection to Algebraic Riccati equation, Automatic control and Linear-quadratic regulator.
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.
His most cited work include:
- Optimal Filtering (3289 citations)
- Optimal Control: Linear Quadratic Methods (2458 citations)
- Wireless sensor network localization techniques (1585 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (39.87%)
- Applied mathematics (18.34%)
- Mathematical optimization (14.07%)
What were the highlights of his more recent work (between 2016-2021)?
- Applied mathematics (18.34%)
- Topology (12.56%)
- Convergence (9.97%)
In recent papers he was focusing on the following fields of study:
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.
Between 2016 and 2021, his most popular works were:
- Network Flows That Solve Linear Equations (61 citations)
- Distributed stabilization control of rigid formations with prescribed orientation (41 citations)
- Distributed stabilization control of rigid formations with prescribed orientation (41 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Quantum mechanics
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.
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