Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1109/tnnls.2024.3362800
In this article, a novel self-triggered approximate optimal neuro-control scheme is presented for nonlinear systems by utilizing adaptive dynamic programming (ADP). According to the Bellman principle of optimality, the cost function of the general nonlinear system is approximated by building a critic neural network with a nested updating weight vector. Thus, the Hamilton-Jacobi-Bellman equation is solved to indirectly obtain the approximate optimal neuro-control input. In order to reduce the computation, the communication bandwidth, and the energy consumption, an appropriate self-triggering condition is designed as an alternative way to predict the updating time instants of the approximate optimal neuro-control policy. On the basis of Lyapunov's direct method, the stability of the closed-loop nonlinear system is analyzed and guaranteed to be uniformly ultimately bounded. Simulation results of two practical systems illustrate the present ADP-based self-triggered approximate optimal neuro-control scheme to be reasonable and effective.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tnnls.2024.3362800
- https://ieeexplore.ieee.org/ielx7/5962385/6104215/10436121.pdf
- OA Status
- hybrid
- Cited By
- 46
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391807011
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391807011Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/tnnls.2024.3362800Digital Object Identifier
- Title
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Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic ProgrammingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-14Full publication date if available
- Authors
-
Bo Zhao, Shunchao Zhang, Derong LiuList of authors in order
- Landing page
-
https://doi.org/10.1109/tnnls.2024.3362800Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/5962385/6104215/10436121.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/5962385/6104215/10436121.pdfDirect OA link when available
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Nonlinear system, Dynamic programming, Control theory (sociology), Computer science, Adaptive control, Optimal control, Control engineering, Control (management), Mathematical optimization, Mathematics, Artificial intelligence, Engineering, Algorithm, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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46Total citation count in OpenAlex
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2025: 35, 2024: 11Per-year citation counts (last 5 years)
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45Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2024-02-14 |
| publication_year | 2024 |
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