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ABSTRACT

Physiological Cost Optimization for Bipedal Modeling with Optimal Controller Design

A. M. Mughal1, K. Iqbal2

Dept. of Applied Science, University of Arkansas at Little Rock, USA
Dept. of Systems Engineering, University of Arkansas at Little Rock, USA

The International Conference on Computational & Experimental Engineering and Sciences 2008, 6(4), 215-220. https://doi.org/10.3970/icces.2008.006.215

Abstract

Human voluntary movements are complex physical phenomenon and there are several physiological factors that control the movement and transient response, steady state position, speed of motion and other characteristics. Many experimentalists described variety of variables important for human balance and movement such as center of mass, center of pressure, ground reaction forces etc. In this study, we discuss a bipedal model for biomechanical sit to stand movement with optimal controller design. The cost optimization for gain scheduling is based upon physiological variables of center of mass, head position, and ground reaction forces. Our simulation results shows that movement profiles improve with this techniques and it provides better gain scheduling for different joint angles.

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APA Style
Mughal, A.M., Iqbal, K. (2008). Physiological cost optimization for bipedal modeling with optimal controller design. The International Conference on Computational & Experimental Engineering and Sciences, 6(4), 215-220. https://doi.org/10.3970/icces.2008.006.215
Vancouver Style
Mughal AM, Iqbal K. Physiological cost optimization for bipedal modeling with optimal controller design. Int Conf Comput Exp Eng Sciences . 2008;6(4):215-220 https://doi.org/10.3970/icces.2008.006.215
IEEE Style
A.M. Mughal and K. Iqbal, “Physiological Cost Optimization for Bipedal Modeling with Optimal Controller Design,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 6, no. 4, pp. 215-220, 2008. https://doi.org/10.3970/icces.2008.006.215



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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