A neural network controller for the path tracking control of a hopping robot involving time delays
DSpace at IIT Bombay
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Title |
A neural network controller for the path tracking control of a hopping robot involving time delays
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Creator |
CHAITANYA, VSK
REDDY, MS |
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Subject |
dynamics
hopping robot mobile robot lyapunov function neural network stance phase flight phase time delays |
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Description |
In this paper a hopping robot motion with offset mass is discussed. A mathematical model has been considered and an efficient single layered neural network has been developed to suit to the dynamics of the hopping robot, which ensures guaranteed tracking performance leading to the stability of the otherwise unstable system. The neural network takes advantage of the robot regressor dynamics that expresses the highly nonlinear robot dynamics in a linear form in terms of the known and unknown robot parameters. Time delays in the control mechanism play a vital role in the motion of hopping robots. The present work also enables us to estimate the maximum time delay admissible with out losing the guaranteed tracking performance. Further this neural network does not require offline training procedures. The salient features are highlighted by appropriate simulations.
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Publisher |
WORLD SCIENTIFIC PUBL CO PTE LTD
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Date |
2011-09-01T23:46:18Z
2011-12-26T12:59:51Z 2011-12-27T05:52:50Z 2011-09-01T23:46:18Z 2011-12-26T12:59:51Z 2011-12-27T05:52:50Z 2006 |
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Type |
Article
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Identifier |
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 16(1), 47-62
0129-0657 http://dx.doi.org/10.1142/S0129065706000469 http://dspace.library.iitb.ac.in/xmlui/handle/10054/12898 http://hdl.handle.net/10054/12898 |
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Language |
en
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