Adaptive Fuzzy Inverse Optimal Control for Uncertain Strict-Feedback Nonlinear Systems
This article first investigates the adaptive fuzzy inverse optimal control design problem for a class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to identify the unknown nonlinear dynamics, and then, an equivalent system and an auxiliary system are established. B...
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| Published in | IEEE transactions on fuzzy systems Vol. 28; no. 10; pp. 2363 - 2374 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.10.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This article first investigates the adaptive fuzzy inverse optimal control design problem for a class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to identify the unknown nonlinear dynamics, and then, an equivalent system and an auxiliary system are established. Based on the auxiliary system and using backstepping recursive design algorithm, an adaptive fuzzy inverse optimal scheme, associating with a meaningful objective functional, is developed. It is proved that the presented adaptive fuzzy inverse optimal control scheme can guarantee that the considered system is input-to-state stabilizable and also achieves the goal of inverse optimality with respect to the cost functional. Finally, the simulation studies and comparisons via two examples are provided to confirm the validity of the developed control strategy. |
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| AbstractList | This article first investigates the adaptive fuzzy inverse optimal control design problem for a class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to identify the unknown nonlinear dynamics, and then, an equivalent system and an auxiliary system are established. Based on the auxiliary system and using backstepping recursive design algorithm, an adaptive fuzzy inverse optimal scheme, associating with a meaningful objective functional, is developed. It is proved that the presented adaptive fuzzy inverse optimal control scheme can guarantee that the considered system is input-to-state stabilizable and also achieves the goal of inverse optimality with respect to the cost functional. Finally, the simulation studies and comparisons via two examples are provided to confirm the validity of the developed control strategy. |
| Author | Li, Yong-ming Min, Xiao Tong, Shaocheng |
| Author_xml | – sequence: 1 givenname: Yong-ming orcidid: 0000-0002-5258-2765 surname: Li fullname: Li, Yong-ming email: liyongming1981@163.com organization: College of Science, Liaoning University of Technology, Jinzhou, China – sequence: 2 givenname: Xiao orcidid: 0000-0002-4690-7287 surname: Min fullname: Min, Xiao email: minxiao0420@163.com organization: College of Science, Liaoning University of Technology, Jinzhou, China – sequence: 3 givenname: Shaocheng surname: Tong fullname: Tong, Shaocheng email: tongshaocheng@lnut.edu.cn organization: College of Science, Liaoning University of Technology, Jinzhou, China |
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| Snippet | This article first investigates the adaptive fuzzy inverse optimal control design problem for a class of uncertain strict-feedback nonlinear systems. Fuzzy... |
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| SubjectTerms | Adaptive algorithms Adaptive control Adaptive fuzzy control Adaptive systems Approximation error Backstepping Dynamical systems Feedback Fuzzy control Fuzzy logic Fuzzy systems inverse optimal control Nonlinear control Nonlinear dynamics Nonlinear systems Optimal control Optimization strict-feedback uncertain nonlinear systems |
| Title | Adaptive Fuzzy Inverse Optimal Control for Uncertain Strict-Feedback Nonlinear Systems |
| URI | https://ieeexplore.ieee.org/document/8801925 https://www.proquest.com/docview/2449315453 |
| Volume | 28 |
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