What is he best known for?
The fields of study he is best known for:
- Control theory
- Mechanical engineering
- Electrical engineering
Ilya Kolmanovsky focuses on Control theory, Automotive engineering, Control engineering, Model predictive control and Control.
Control theory is closely attributed to Ignition system in his research.
His Automotive engineering study integrates concerns from other disciplines, such as Powertrain, Torque and Automotive industry.
His Control engineering research is multidisciplinary, incorporating perspectives in Markov process, Optimal control and Parametric statistics.
Ilya Kolmanovsky has researched Model predictive control in several fields, including Dynamical system, Quadratic programming, Power management, Optimization problem and Robustness.
He has included themes like Governor and State in his Nonlinear system study.
His most cited work include:
- Developments in nonholonomic control problems (1112 citations)
- Proceedings of the American Control Conference (866 citations)
- Theory and computation of disturbance invariant sets for discrete-time linear systems (654 citations)
What are the main themes of his work throughout his whole career to date?
Ilya Kolmanovsky mostly deals with Control theory, Automotive engineering, Model predictive control, Control engineering and Nonlinear system.
His Control theory research is multidisciplinary, incorporating elements of Spacecraft and Control.
His research integrates issues of Thrust and Attitude control in his study of Spacecraft.
His Automotive engineering research incorporates elements of Powertrain and Turbocharger.
His Model predictive control research incorporates themes from Optimization problem, Quadratic programming, Mathematical optimization and Sequential quadratic programming.
His study in Control engineering is interdisciplinary in nature, drawing from both Control system and Automotive industry.
He most often published in these fields:
- Control theory (51.36%)
- Automotive engineering (24.93%)
- Model predictive control (20.84%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (51.36%)
- Model predictive control (20.84%)
- Automotive engineering (24.93%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Model predictive control, Automotive engineering, Optimal control and Nonlinear system.
His studies deal with areas such as Control and State as well as Control theory.
His Model predictive control study which covers Mathematical optimization that intersects with Computation and Constraint.
The study incorporates disciplines such as Power, Energy consumption, Air conditioning, Energy and Driving cycle in addition to Automotive engineering.
His Optimal control research includes elements of Discretization, Exponential stability and Sequential quadratic programming.
His work is dedicated to discovering how Nonlinear system, Applied mathematics are connected with Quadratic programming and other disciplines.
Between 2018 and 2021, his most popular works were:
- Cabin and Battery Thermal Management of Connected and Automated HEVs for Improved Energy Efficiency Using Hierarchical Model Predictive Control (19 citations)
- Embedding Constrained Model Predictive Control in a Continuous-Time Dynamic Feedback (17 citations)
- Sequential Optimization of Speed, Thermal Load, and Power Split in Connected HEVs. (16 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mechanical engineering
- Electrical engineering
Ilya Kolmanovsky mainly investigates Model predictive control, Automotive engineering, Control theory, Optimal control and Control.
Ilya Kolmanovsky combines subjects such as Control theory, Mathematical optimization, Applied mathematics, Newton's method and Robustness with his study of Model predictive control.
His Automotive engineering research includes themes of Driving cycle, Energy, Energy management, Battery and Efficient energy use.
His studies in Control theory integrate themes in fields like Power, Propulsion and Aerodynamics.
The concepts of his Optimal control study are interwoven with issues in Closed loop, Lyapunov stability, Discrete time and continuous time, Waypoint and Sequential quadratic programming.
His Control study combines topics from a wide range of disciplines, such as Diesel engine and Diesel fuel.
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