His primary areas of investigation include Control theory, Iterative learning control, Linear system, Iterative method and Mathematical optimization. His research on Control theory frequently connects to adjacent areas such as Control engineering. His Iterative learning control research is multidisciplinary, incorporating perspectives in Rehabilitation, Optimal control, Convergence, Feed forward and Robustness.
Eric Rogers has included themes like Stability, Control theory, Controllability and Multidimensional systems in his Linear system study. Within one scientific family, he focuses on topics pertaining to Rate of convergence under Iterative method, and may sometimes address concerns connected to Discrete system, Learning controller, Control synthesis, H-infinity methods in control theory and Design methods. Eric Rogers focuses mostly in the field of Mathematical optimization, narrowing it down to topics relating to Controller design and, in certain cases, Ranging and Stability conditions.
His primary areas of study are Control theory, Iterative learning control, Linear system, Control engineering and Mathematical optimization. His work in Control theory, Stability, Exponential stability, Nonlinear system and Stability theory are all subfields of Control theory research. His work deals with themes such as Linear matrix inequality and Process control, which intersect with Exponential stability.
He usually deals with Iterative learning control and limits it to topics linked to Rehabilitation and Task. While the research belongs to areas of Linear system, Eric Rogers spends his time largely on the problem of Systems theory, intersecting his research to questions surrounding Class. He studies Optimal control, a branch of Mathematical optimization.
His main research concerns Control theory, Iterative learning control, Nonlinear system, Exponential stability and Stability theory. As part of his studies on Control theory, Eric Rogers often connects relevant subjects like Control engineering. His biological study spans a wide range of topics, including Process control, Process, Convergence, Task and Mathematical optimization.
His Nonlinear system study deals with Differential intersecting with Class. His Exponential stability research integrates issues from Control system and Applied mathematics. His Stability theory research is multidisciplinary, relying on both Control theory and Bounded function.
His primary scientific interests are in Control theory, Iterative learning control, Nonlinear system, Stability and Stability theory. His Control theory study combines topics in areas such as Differential, Convergence and Process. The Iterative learning control study combines topics in areas such as Task, Control engineering, Iterative method, Mathematical optimization and Trajectory.
His Mathematical optimization research is multidisciplinary, incorporating elements of Systems theory, Linear system, Monotonic function and Stability conditions. He interconnects Class, Linear model and Robust control in the investigation of issues within Stability. His research investigates the link between Stability theory and topics such as Control theory that cross with problems in Time domain, Feed forward, Simulation, Actuator and Attitude control.
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.
Control Systems Theory and Applications for Linear Repetitive Processes
Eric Rogers;Krzysztof Galkowski;D. H. Owens.
Stability Analysis for Linear Repetitive Processes
E. T. A. Rogers;D. H. Owens.
Iterative learning control for discrete-time systems with exponential rate of convergence
N. Amann;D.H. Owens;E. Rogers.
IEE Proceedings - Control Theory and Applications (1996)
Iterative learning control using optimal feedback and feedforward actions
Notker Amann;David H. Owens;Eric Rogers.
International Journal of Control (1996)
Predictive optimal iterative learning control
Notker Amann;David H. Owens;Eric Rogers.
International Journal of Control (1998)
Non-linear iterative learning by an adaptive Lyapunov technique
M. French;E. Rogers.
International Journal of Control (2000)
Experimentally supported 2D systems based iterative learning control law design for error convergence and performance
Lukasz Hladowski;Krzysztof Galkowski;Zhonglun Cai;Eric Rogers.
Control Engineering Practice (2010)
Iterative Learning Control in Health Care: Electrical Stimulation and Robotic-Assisted Upper-Limb Stroke Rehabilitation
Chris T. Freeman;Eric Rogers;Ann-Marie Hughes;Jane H. Burridge.
IEEE Control Systems Magazine (2012)
Iterative learning control of FES applied to the upper extremity for rehabilitation
Christopher Freeman;Ann-Marie Hughes;Jane Burridge;Paul Chappell.
Control Engineering Practice (2009)
Analysis of Linear Iterative Learning Control Schemes -A 2D Systems/Repetitive Processes Approach
D. H. Owens;N. Amann;E. Rogers;M. French.
Multidimensional Systems and Signal Processing (2000)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: