東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Delay and uncertainty in human balan...

Insperger, T.

Linked to FindBook

Google Book

Amazon

博客來

Delay and uncertainty in human balancing tasks

Record Type:	Electronic resources : Monograph/item
Title/Author:	Delay and uncertainty in human balancing tasks/ by Tamas Insperger, John Milton.
Author:	Insperger, T.
other author:	Milton, John.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xiii, 157 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Background -- 3. Pole Balancing at the Fingertip -- 4. Sensory Dead Zones: Switching Feedback -- 5. Microchaos in Balance Control -- 6. Postural Sway During Quiet Standing -- 7. Stability Radii and Uncertainty in Balance Control -- 8. Challenges for the Future -- References -- Semi-discretization Method -- Stability Radii: Some Mathematical Aspects -- Index.
Contained By:	Springer Nature eBook
Subject:	Equilibrium (Physiology) - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-84582-7
ISBN:	9783030845827

Delay and uncertainty in human balancing tasks
Insperger, T.

Delay and uncertainty in human balancing tasks[electronic resource] /by Tamas Insperger, John Milton. - Cham :Springer International Publishing :2021. - xiii, 157 p. :ill., digital ;24 cm. - Lecture notes on mathematical modelling in the life sciences,2193-4797. - Lecture notes on mathematical modelling in the life sciences..

1. Introduction -- 2. Background -- 3. Pole Balancing at the Fingertip -- 4. Sensory Dead Zones: Switching Feedback -- 5. Microchaos in Balance Control -- 6. Postural Sway During Quiet Standing -- 7. Stability Radii and Uncertainty in Balance Control -- 8. Challenges for the Future -- References -- Semi-discretization Method -- Stability Radii: Some Mathematical Aspects -- Index.

This book demonstrates how delay differential equations (DDEs) can be used to compliment the laboratory investigation of human balancing tasks. This approach is made accessible to non-specialists by comparing mathematical predictions and experimental observations. For example, the observation that a longer pole is easier to balance on a fingertip than a shorter one demonstrates the essential role played by a time delay in the balance control mechanism. Another balancing task considered is postural sway during quiet standing. With the inverted pendulum as the driver and the feedback control depending on state variables or on an internal model, the feedback can be identified by determining a critical pendulum length and/or a critical delay. This approach is used to identify the nature of the feedback for the pole balancing and postural sway examples. Motivated by the question of how the nervous system deals with these feedback control challenges, there is a discussion of ''microchaotic'' fluctuations in balance control and how robust control can be achieved in the face of uncertainties in the estimation of control parameters. The final chapter suggests some topics for future research. Each chapter includes an abstract and a point-by-point summary of the main concepts that have been established. A particularly useful numerical integration method for the DDEs that arise in balance control is semi-discretization. This method is described and a MATLAB template is provided. This book will be a useful source for anyone studying balance in humans, other bipedal organisms and humanoid robots. Much of the material has been used by the authors to teach senior undergraduates in computational neuroscience and students in bio-systems, biomedical, mechanical and neural engineering.

ISBN: 9783030845827

Standard No.: 10.1007/978-3-030-84582-7doiSubjects--Topical Terms:

3522300
Equilibrium (Physiology)
--Mathematical models.

LC Class. No.: QP471 / .I57 2021

Dewey Class. No.: 612.76015118

Delay and uncertainty in human balancing tasks
LDR:03258nmm a2200337 a 4500 001 2253767
003 DE-He213
005 20211018080328.0
006 m d
007 cr nn 008maaau
008 220327s2021 sz s 0 eng d
020 $a 9783030845827 $q (electronic bk.)
020 $a 9783030845810 $q (paper)
024 7 $a 10.1007/978-3-030-84582-7 $2 doi
035 $a 978-3-030-84582-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QP471 $b .I57 2021
072 7 $a PBK $2 bicssc
072 7 $a MAT034000 $2 bisacsh
072 7 $a PBK $2 thema
082 0 4 $a 612.76015118 $2 23
090 $a QP471 $b .I59 2021
100 1 $a Insperger, T. $q (Tamas) $3 3522299
245 1 0 $a Delay and uncertainty in human balancing tasks $h [electronic resource] / $c by Tamas Insperger, John Milton.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiii, 157 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes on mathematical modelling in the life sciences, $x 2193-4797
505 0 $a 1. Introduction -- 2. Background -- 3. Pole Balancing at the Fingertip -- 4. Sensory Dead Zones: Switching Feedback -- 5. Microchaos in Balance Control -- 6. Postural Sway During Quiet Standing -- 7. Stability Radii and Uncertainty in Balance Control -- 8. Challenges for the Future -- References -- Semi-discretization Method -- Stability Radii: Some Mathematical Aspects -- Index.
520 $a This book demonstrates how delay differential equations (DDEs) can be used to compliment the laboratory investigation of human balancing tasks. This approach is made accessible to non-specialists by comparing mathematical predictions and experimental observations. For example, the observation that a longer pole is easier to balance on a fingertip than a shorter one demonstrates the essential role played by a time delay in the balance control mechanism. Another balancing task considered is postural sway during quiet standing. With the inverted pendulum as the driver and the feedback control depending on state variables or on an internal model, the feedback can be identified by determining a critical pendulum length and/or a critical delay. This approach is used to identify the nature of the feedback for the pole balancing and postural sway examples. Motivated by the question of how the nervous system deals with these feedback control challenges, there is a discussion of ''microchaotic'' fluctuations in balance control and how robust control can be achieved in the face of uncertainties in the estimation of control parameters. The final chapter suggests some topics for future research. Each chapter includes an abstract and a point-by-point summary of the main concepts that have been established. A particularly useful numerical integration method for the DDEs that arise in balance control is semi-discretization. This method is described and a MATLAB template is provided. This book will be a useful source for anyone studying balance in humans, other bipedal organisms and humanoid robots. Much of the material has been used by the authors to teach senior undergraduates in computational neuroscience and students in bio-systems, biomedical, mechanical and neural engineering.
650 0 $a Equilibrium (Physiology) $x Mathematical models. $3 3522300
650 0 $a Human mechanics $x Mathematical models. $3 1457520
650 0 $a Delay differential equations. $3 657730
650 1 4 $a Analysis. $3 891106
650 2 4 $a Neurosciences. $3 588700
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
700 1 $a Milton, John. $3 602607
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes on mathematical modelling in the life sciences. $3 2056095
856 4 0 $u https://doi.org/10.1007/978-3-030-84582-7
950 $a Mathematics and Statistics (SpringerNature-11649)