Neural adaptive robust control for MEMS gyroscope with output constraints
A neural adaptive robust control method is proposed for the desired tracking of micro-electro-mechanical system (MEMS) triaxial gyroscope. In this work, input constraints and external disturbance are taken into account, and a barrier Lyapunov function (BLF) is used to ensure that the constraints are...
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| Veröffentlicht in: | Telecommunication systems 2023-10, Vol.84 (2), p.203-213 |
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| creator | Liu, Shangbo Lian, Baowang Dan, Zesheng |
| description | A neural adaptive robust control method is proposed for the desired tracking of micro-electro-mechanical system (MEMS) triaxial gyroscope. In this work, input constraints and external disturbance are taken into account, and a barrier Lyapunov function (BLF) is used to ensure that the constraints are not violated and that tracking performance is achieved. In the presented control approach, RBFNNs with a non-zero parameter are employed to approximate the lumped uncertainties of the system, where the approximation precision can be modified online by the provided adaptive laws in the control strategy. All of the signals in the closed-loop system are uniformly finally bounded (UUB) thanks to the designed control mechanism, which may overcome the limitation of the finite universal approximation domain. The effectiveness of the suggested control is demonstrated by the comparison of simulation results. |
| doi_str_mv | 10.1007/s11235-023-01047-9 |
| format | Article |
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The effectiveness of the suggested control is demonstrated by the comparison of simulation results.</description><identifier>ISSN: 1018-4864</identifier><identifier>EISSN: 1572-9451</identifier><identifier>DOI: 10.1007/s11235-023-01047-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adaptive control ; Approximation ; Artificial Intelligence ; Business and Management ; Closed loops ; Computer Communication Networks ; Control methods ; Design ; Feedback control ; Gyroscopes ; IT in Business ; Liapunov functions ; Mathematical analysis ; Microelectromechanical systems ; Neural networks ; Probability Theory and Stochastic Processes ; Robust control ; Telecommunications systems ; Tracking ; Velocity</subject><ispartof>Telecommunication systems, 2023-10, Vol.84 (2), p.203-213</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. 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| subjects | Adaptive control Approximation Artificial Intelligence Business and Management Closed loops Computer Communication Networks Control methods Design Feedback control Gyroscopes IT in Business Liapunov functions Mathematical analysis Microelectromechanical systems Neural networks Probability Theory and Stochastic Processes Robust control Telecommunications systems Tracking Velocity |
| title | Neural adaptive robust control for MEMS gyroscope with output constraints |
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