What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Control theory
Munther A. Dahleh spends much of his time researching Control theory, Optimal control, Mathematical optimization, Bounded function and Robustness.
While working on this project, Munther A. Dahleh studies both Control theory and Perturbation.
Munther A. Dahleh interconnects Linear programming, Optimization problem, Discrete system and Minification in the investigation of issues within Optimal control.
His Maximum flow problem study in the realm of Mathematical optimization interacts with subjects such as Flow capacity, Price of anarchy, Inflow and Equilibrium selection.
His research in Bounded function intersects with topics in Mathematical economics, Bayesian inference, Network topology, Control synthesis and Information cascade.
His Robustness research is multidisciplinary, incorporating elements of Telecommunications network, Feedback loop and Intelligent Network.
His most cited work include:
- Distributed control of spatially invariant systems (744 citations)
- Real-Time Motion Planning for Agile Autonomous Vehicles (650 citations)
- Bayesian Learning in Social Networks (494 citations)
What are the main themes of his work throughout his whole career to date?
Control theory, Mathematical optimization, Optimal control, Control theory and Upper and lower bounds are his primary areas of study.
Many of his studies on Control theory involve topics that are commonly interrelated, such as Bounded function.
His Mathematical optimization research incorporates elements of Norm and System identification.
His studies in Optimal control integrate themes in fields like Control system, Minification, Hybrid system, Linear programming and Optimization problem.
The study incorporates disciplines such as Algorithm and Network topology in addition to Upper and lower bounds.
His research in Linear system focuses on subjects like Applied mathematics, which are connected to Discrete mathematics.
He most often published in these fields:
- Control theory (35.02%)
- Mathematical optimization (23.43%)
- Optimal control (15.46%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (35.02%)
- Electricity (5.07%)
- Mathematical optimization (23.43%)
In recent papers he was focusing on the following fields of study:
Munther A. Dahleh mostly deals with Control theory, Electricity, Mathematical optimization, Microeconomics and Robustness.
Munther A. Dahleh is interested in Nonlinear system, which is a branch of Control theory.
His biological study spans a wide range of topics, including Profit and Industrial organization.
As part of one scientific family, Munther A. Dahleh deals mainly with the area of Mathematical optimization, narrowing it down to issues related to the Scheduling, and often Simulation.
His research investigates the connection with Microeconomics and areas like Demand response which intersect with concerns in Load management and Supply and demand.
His Robustness research includes themes of Network topology and Topology.
Between 2014 and 2021, his most popular works were:
- Optimal Management and Sizing of Energy Storage Under Dynamic Pricing for the Efficient Integration of Renewable Energy (182 citations)
- Demand Response Using Linear Supply Function Bidding (149 citations)
- Finite-Time System Identification for Partially Observed LTI Systems of Unknown Order. (48 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Control theory
Munther A. Dahleh mainly investigates Electricity, Microeconomics, Consumption, Mathematical optimization and Control.
His Electricity research includes themes of Stochastic process, Data hub and Marginal cost.
His work in the fields of Microeconomics, such as Demand curve and Investment, overlaps with other areas such as Grid.
Munther A. Dahleh has researched Mathematical optimization in several fields, including Electricity pricing, Peak demand, Energy storage, Market demand schedule and Dynamic pricing.
His study in Control is interdisciplinary in nature, drawing from both Cyber-physical system and Human–computer interaction.
His Upper and lower bounds study frequently draws connections to adjacent fields such as Control theory.
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