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Finite-Time Stability for Interval Type-2 Fuzzy Nonlinear Systems via an Observer-Based Sliding Mode Control

LIU Yu'an1, XIA Jianwei2, WANG Jing3, SHEN Hao3   

  1. 1. Anhui Province Key Laboratory of Special Heavy Load Robot and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China;
    2. School of Mathematical Sciences, Liaocheng University, Liaocheng 252059, China;
    3. School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  • Received:2021-04-04 Revised:2021-08-09 Online:2022-11-25 Published:2022-12-23
  • Contact: SHEN Hao,Email:haoshen10@gmail.com
  • Supported by:
    This research was supported by the National Natural Science Foundation of China under Grant Nos. 61873002, 62173001.

LIU Yu'an, XIA Jianwei, WANG Jing, SHEN Hao. Finite-Time Stability for Interval Type-2 Fuzzy Nonlinear Systems via an Observer-Based Sliding Mode Control[J]. Journal of Systems Science and Complexity, 2022, 35(6): 2223-2247.

This work focuses on the design of a sliding mode controller for a class of continuous-time interval type-2 fuzzy-model-based nonlinear systems with unmeasurable state information over a finite-time interval. Aiming at describing the nonlinearities containing parameter uncertainties that inevitably appear in practice, the interval type-2 fuzzy sets are employed to model the studied system. To improve the designing flexibility, a fuzzy observer model non-parallel distribution compensation scheme is designed to estimate the state information of the plant, i.e., the observer is allowed to have a mismatching premise structure from the system. On this basis, the appropriate fuzzy sliding surface and fuzzy controller are constructed by following the same premise variables as the designed fuzzy observer. Then, by means of the sliding mode control theory and the Lyapunov function method, some novel sufficient criteria are established to ensure the finite-time boundedness for the studied systems via a partitioning strategy including the reaching phase, the sliding motion phase and the whole time interval. Furthermore, the designed gains are acquired by solving the matrix convex optimization problem. Finally, the effectiveness of the developed method is demonstrated by two simulation examples.
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[1] LIU Xinmiao · XIA Jianwei · WANG Jing · SHEN Hao. Interval Type-2 Fuzzy Passive Filtering for Nonlinear Singularly Perturbed PDT-Switched Systems and Its Application [J]. Journal of Systems Science and Complexity, 2021, 34(6): 2195-2218.
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