What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Statistics
His main research concerns Control theory, Control theory, Jump process, Markov process and Linear system.
His Control theory research incorporates themes from Isometric exercise and Biomechanics.
The study incorporates disciplines such as Gait, Effect of gait parameters on energetic cost, Gait analysis, Simulation and Work in addition to Control theory.
Howard J. Chizeck interconnects Stochastic process and Lyapunov exponent in the investigation of issues within Markov process.
His study in Optimal control is interdisciplinary in nature, drawing from both Observability and Controllability.
His Observability research integrates issues from Lyapunov function and Linear-quadratic regulator.
His most cited work include:
- Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control (828 citations)
- Stochastic stability properties of jump linear systems (642 citations)
- Discrete-time Markovian-jump linear quadratic optimal control (209 citations)
What are the main themes of his work throughout his whole career to date?
Howard J. Chizeck focuses on Control theory, Control theory, Control system, Physical medicine and rehabilitation and Adaptive control.
While the research belongs to areas of Control theory, Howard J. Chizeck spends his time largely on the problem of Control engineering, intersecting his research to questions surrounding Model predictive control.
The various areas that Howard J. Chizeck examines in his Control theory study include Gait, Trajectory, Isometric exercise and Identification.
His Control system study incorporates themes from Orthotics, Open-loop controller and Torque.
His work on Essential tremor as part of general Physical medicine and rehabilitation research is frequently linked to Deep brain stimulation, thereby connecting diverse disciplines of science.
As a part of the same scientific study, Howard J. Chizeck usually deals with the Linear system, concentrating on Observability and frequently concerns with Controllability.
He most often published in these fields:
- Control theory (40.49%)
- Control theory (19.51%)
- Control system (14.63%)
What were the highlights of his more recent work (between 2010-2020)?
- Deep brain stimulation (9.27%)
- Haptic technology (7.32%)
- Essential tremor (7.32%)
In recent papers he was focusing on the following fields of study:
Howard J. Chizeck mainly investigates Deep brain stimulation, Haptic technology, Essential tremor, Artificial intelligence and Computer vision.
His Haptic technology research is multidisciplinary, relying on both Robot, Teleoperation, Virtual fixture and Point cloud.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Interface.
Howard J. Chizeck has researched Computer vision in several fields, including Event, Decoding methods, Neural coding and Authentication.
Howard J. Chizeck integrates many fields, such as Control, Optimal control and Control theory, in his works.
In general Control theory, his work in Feed forward and Control theory is often linked to Fiber linking many areas of study.
Between 2010 and 2020, his most popular works were:
- Adaptive deep brain stimulation for Parkinson's disease using motor cortex sensing. (124 citations)
- Creating the feedback loop: closed-loop neurostimulation. (71 citations)
- Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson's Disease (69 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Control theory
His scientific interests lie mostly in Deep brain stimulation, Haptic technology, Point cloud, Neuroscience and Brain–computer interface.
His biological study spans a wide range of topics, including Control engineering, Power transmission and Control theory.
His Point cloud study combines topics from a wide range of disciplines, such as RGB color model, Proxy and Haptic rendering.
In the field of Neuroscience, his study on Stimulation overlaps with subjects such as Subthalamic nucleus.
His Simulation research is multidisciplinary, incorporating elements of Telerobotic surgery, Robotic surgery, Virtual machine and Virtual fixture.
In the subject of general Artificial intelligence, his work in Teleoperation is often linked to Surgical robotics, Beating heart and Telerobotics, thereby combining diverse domains of study.
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