REFERENCES

1. Takagi T, Sugeno M. Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst., Man, Cybern. B, Cybern 1985;15:116-32.

2. Camargos MO, Palhares RM, Bessa I, Cosme LB, Angelo MFSV. Data-driven prognostics of rolling element bearings using a novel error based evolving Takagi–Sugeno fuzzy model. Applied Soft Computing 2020;96:106628.

3. Zhao L, Gao H, Karimi HR. Robust stability and stabilization of uncertain T–S fuzzy systems with time-varying delay: an input–output approach. IEEE Transactions on Fuzzy Systems 2012;21:883-97.

4. Liu X, Zhang Q. New approaches to H controller designs based on fuzzy observers for TS fuzzy systems via LMI. Automatica 2003;39:1571-82.

5. Lin C, Wang Q, Lee TH. Improvement on observer-based H control for T-S fuzzy systems. Automatica 2005;41:1651-6.

6. Datta R, Dey R, Bhattacharya B. Improved delay-range-dependent stability condition for T-S fuzzy systems with variable delays using new extended affine Wirtinger inequality. Int J Fuzzy Syst 2020;22:985-98.

7. Coutinho PH, Araujo RF, Nguyen AT, Palhares RM. A multiple-parameterization approach for local stabilization of constrained Takagi-Sugeno fuzzy systems with nonlinear consequents. Information Sciences 2020;506:295-307.

8. Emelyanov SV. Variable Structure Control Systems Nauka, Moscow: 1967.

9. Tan S, Lai YM, Tse CK. Sliding mode control of switching power converters: techniques and implementation. CRC press; 2018.

10. Baek J, Jin M, Han S. A new adaptive sliding-mode control scheme for application to robot manipulators. IEEE Transactions on Industrial Electronics 2016;63:3628-37.

11. Azar A, Fernando E., Serrano FE. Adaptive sliding mode control of the Furuta pendulum. Advances and applications in sliding mode control systems. Springer, Cham; 2015. pp. 1-42.

12. Wang Y, Gao Y, Karimi HR, Shen H, Fang Z. Sliding mode control of fuzzy singularly perturbed systems with application to electric circuit. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2018;48:1667-75.

13. Naghmeh M, Mehdi R S, Mahmood G. Robust control design for air breathing proton exchange membrane fuel cell system via variable gain second-order sliding mode. Energy Science & Engineering 2018;6:126-43.

14. Pan Y, Yang C, Pan L, Yu H. Integral sliding mode control: performance, modification, and improvement. IEEE Transactions on Industrial Informatics 2017;14:3087-96.

15. Gao Y, Liu J, Sun G, Liu M, Wu L. Fault deviation estimation and integral sliding mode control design for Lipschitz nonlinear systems. Systems & Control Letters 2019;123:8-15.

16. Jiang B, Gao C. Decentralized adaptive slidingmode control of large-scale semi-Markovian jump interconnected systems with dead-zone input. IEEE Transactions on Automatic Control 2021:1-1.

17. Jiang B, Karimi HR, Yang S, Gao C, Kao Y. Observer-based adaptive sliding mode control for nonlinear stochastic Markov jump systems via T-S fuzzy modeling: applications to robot arm model. IEEE Transactions on Industrial Electronics 2021;68:466-77.

18. Qi W, Gao X, Ann CK, Cao J, Cheng J. Fuzzy integral sliding-mode control for nonlinear semi-Markovian switching systems with application. IEEE Transactions on Systems, Man, and Cybernetics: Systems 2020:1-10.

19. Mani P, Joo Y. Fuzzy logic-based integral sliding mode control of multi-area power systems integrated with wind farms. Information Sciences 2021;545:153-69.

20. Norsahperi NMH, Danapalasingam KA. An improved optimal integral sliding mode control for uncertain robotic manipulators with reduced tracking error, chattering, and energy consumption. Mechanical Systems and Signal Processing 2020;142:106747.

21. Jia S, Shan J. Continuous integral sliding mode control for space manipulator with actuator uncertainties. Aerospace Science and Technology 2020;106:106192.

22. Teng L, Gull MA, Bai S. PD-based fuzzy sliding mode control of a wheelchair exoskeleton robot. IEEE/ASME Transactions on Mechatronics 2020;25:2546-55.

23. Roy S, Baldi S, Fridman L M. On adaptive sliding mode control without a priori bounded uncertainty. Automatica 2020;111:108650.

24. Huang AC, Chen YC. Adaptive sliding control for single-link flexible-joint robot with mismatched uncertainties. IEEE Transactions on Control Systems Technology 2004;12:770-5.

25. Rsetam K, Cao Z, Man Z. Hierarchical sliding mode control applied to a single-link flexible joint robot manipulator[C]// 2016 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE 2016; doi: 10.1109/ICAMECHS.2016.7813495.

26. Chen Y, Guo B. Sliding mode fault tolerant tracking control for a single-link flexible joint manipulator system. IEEE Access, 2019;PP:1-1.

27. Chadli M, Karimi HR. Robust observer design for unknown inputs Takagi-Sugeno models. IEEE Transactions on Fuzzy Systems 2012;21:158-64.

28. Saad W, Sellami A, Garcia G. H-Sliding mode control of one-sided Lipschitz nonlinear systems subject to input nonlinearities and polytopic uncertainties. ISA Transactions 2019;90:19-29.

29. Tanaka K, Kosaki T. Design of a stable fuzzy controller for an articulated vehicle. IEEE Transactions on Systems, Man, and Cybernetics: PartB(Cybern.) 1997;27:552-8.

30. Rakhtala S. M. Adaptive gain super twisting algorithm to control a knee exoskeleton disturbed by unknown bounds. International Journal of Dynamics and Control 2020:1-16.

31. Rakhtala S M, Casavola A. Real time voltage control based on a cascaded super twisting algorithm structure for DC-DC converters. IEEE Transactions on Industrial Electronics, 2021;PP:1-1.

32. Zhai J, Xu G. A novel non-singular terminal sliding mode trajectory tracking control for robotic manipulators. IEEE Transactions on Circuits and Systems II: Express Briefs 2021;68:391-5.

Complex Engineering Systems
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