An adaptive predictive control based on a quasi-ARX neural network model
A quasi-ARX (quasi-linear ARX) neural network (QARXNN) model is able to demonstrate its ability for identification and prediction highly nonlinear system. The model is simplified by a linear correlation between the input vector and its nonlinear coefficients. The coefficients are used to parameter...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
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IEEE
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/41438/ |
| _version_ | 1848849695428837376 |
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| author | Abu Jami’in, Mohammad Sutrisno, Imam Hu, Jinglu Mariun, Norman Marhaban, Mohammad Hamiruce |
| author_facet | Abu Jami’in, Mohammad Sutrisno, Imam Hu, Jinglu Mariun, Norman Marhaban, Mohammad Hamiruce |
| author_sort | Abu Jami’in, Mohammad |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | A quasi-ARX (quasi-linear ARX) neural network (QARXNN) model is able to demonstrate its ability for identification
and prediction highly nonlinear system. The model is
simplified by a linear correlation between the input vector and its nonlinear coefficients. The coefficients are used to parameterize the input vector performed by an embedded system called as state dependent parameter estimation (SDPE), which is executed by multi layer parceptron neural network (MLPNN). SDPE consists of the linear and nonlinear parts. The controller law is derived via SDPE of the linear and nonlinear parts through switching mechanism. The dynamic tracking controller error is derived then
the stability analysis of the closed-loop controller is performed based Lyapunov theorem. Linear based adaptive robust control and nonlinear based adaptive robust control is performed with the switching of the linear and nonlinear parts parameters based Lyapunov theorem to guarantee bounded and convergence error. |
| first_indexed | 2025-11-15T09:54:29Z |
| format | Conference or Workshop Item |
| id | upm-41438 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:54:29Z |
| publishDate | 2014 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-414382016-01-28T02:29:36Z http://psasir.upm.edu.my/id/eprint/41438/ An adaptive predictive control based on a quasi-ARX neural network model Abu Jami’in, Mohammad Sutrisno, Imam Hu, Jinglu Mariun, Norman Marhaban, Mohammad Hamiruce A quasi-ARX (quasi-linear ARX) neural network (QARXNN) model is able to demonstrate its ability for identification and prediction highly nonlinear system. The model is simplified by a linear correlation between the input vector and its nonlinear coefficients. The coefficients are used to parameterize the input vector performed by an embedded system called as state dependent parameter estimation (SDPE), which is executed by multi layer parceptron neural network (MLPNN). SDPE consists of the linear and nonlinear parts. The controller law is derived via SDPE of the linear and nonlinear parts through switching mechanism. The dynamic tracking controller error is derived then the stability analysis of the closed-loop controller is performed based Lyapunov theorem. Linear based adaptive robust control and nonlinear based adaptive robust control is performed with the switching of the linear and nonlinear parts parameters based Lyapunov theorem to guarantee bounded and convergence error. IEEE 2014 Conference or Workshop Item NonPeerReviewed Abu Jami’in, Mohammad and Sutrisno, Imam and Hu, Jinglu and Mariun, Norman and Marhaban, Mohammad Hamiruce (2014) An adaptive predictive control based on a quasi-ARX neural network model. In: 13th International Conference on Control Automation Robotics & Vision (ICARCV 2014), 10-12 Dec. 2014 , Marina Bay Sands, Singapore. (pp. 253-258). 10.1109/ICARCV.2014.7064314 |
| spellingShingle | Abu Jami’in, Mohammad Sutrisno, Imam Hu, Jinglu Mariun, Norman Marhaban, Mohammad Hamiruce An adaptive predictive control based on a quasi-ARX neural network model |
| title | An adaptive predictive control based on a quasi-ARX neural network model
|
| title_full | An adaptive predictive control based on a quasi-ARX neural network model
|
| title_fullStr | An adaptive predictive control based on a quasi-ARX neural network model
|
| title_full_unstemmed | An adaptive predictive control based on a quasi-ARX neural network model
|
| title_short | An adaptive predictive control based on a quasi-ARX neural network model
|
| title_sort | adaptive predictive control based on a quasi-arx neural network model |
| url | http://psasir.upm.edu.my/id/eprint/41438/ http://psasir.upm.edu.my/id/eprint/41438/ |