[PDF.68ra] Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation (SpringerBriefs in Electrical and Computer Engineering)
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Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation (SpringerBriefs in Electrical and Computer Engineering)
Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore
[PDF.mo17] Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation (SpringerBriefs in Electrical and Computer Engineering)
Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore epub Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore pdf download Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore pdf file Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore audiobook Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore book review Iterative Learning Control for Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore summary
| #7384829 in Books | Freeman Chris | 2015-06-26 | 2015-07-08 | Original language:English | PDF # 1 | 9.25 x.31 x6.10l,.60 | File type: PDF | 124 pages | Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation SpringerBriefs in Electrical and Computer Engineering||0 of 0 people found the following review helpful.| Five Stars|By Snow White|Excellent|||“This is a unique and relatively short description of the development and testing of an innovative approach to stroke rehabilitation. … Figures and tables are clear and are used to enhance the readability. This book is particularly useful for eng
Iterative learning control (ILC) has its origins in the control of processes that perform a task repetitively with a view to improving accuracy from trial to trial by using information from previous executions of the task. This brief shows how a classic application of this technique – trajectory following in robots – can be extended to neurological rehabilitation after stroke. Regaining upper limb movement is an important step in a return to independence ...
You easily download any file type for your device.Iterative Learning Control for Electrical Stimulation and Stroke Rehabilitation (SpringerBriefs in Electrical and Computer Engineering) | Chris T. Freeman, Eric Rogers, Jane H. Burridge, Ann-Marie Hughes, Katie L. Meadmore.Not only was the story interesting, engaging and relatable, it also teaches lessons.