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Output Feedback Self-tuning Wavenet Control for Underactuated Euler-Lagrange Systems
There exist some physical systems whose underactuation and limited sensing represent a challenge in engineering. The former requires a model-based nesting or virtual control schemes to control the underactuated degrees of freedom through the actuated ones, while the latter imposes stringent requirem...
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Published in: | IFAC-PapersOnLine 2018, Vol.51 (13), p.633-638 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | There exist some physical systems whose underactuation and limited sensing represent a challenge in engineering. The former requires a model-based nesting or virtual control schemes to control the underactuated degrees of freedom through the actuated ones, while the latter imposes stringent requirements to design the controller using only partial access to the state, called output feedback. In this paper, we address the output feedback control design of class of uncertain underactuated nonlinear systems that is not model-based neither require state estimation. Output feedback and underactuation are circumvented by synthesizing an efficient RFB-based superwavelets neural network that approximates inverse dynamics of the projected actuated subsystem. Using multiresolution scaling with only position, feedback gains are adapted online based on a self-tuning scheme. An illustrative simulation study is presented for the underactuated inverted pendulum-on-a-cart using only angular position. |
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ISSN: | 2405-8963 2405-8963 |
DOI: | 10.1016/j.ifacol.2018.07.351 |