Analyzing Linear Matrix Inequality for Stability Control of Inverted Pendulum on a Cart
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62238-0_22
Reference12 articles.
1. Duong, M.D., Pham, Q.T., Vu, T.C., Bui, N.T., Dao, Q.T.: Adaptive fuzzy sliding mode control of an actuator powered by two opposing pneumatic artificial muscles. Sci. Rep. 13(1), 8242 (2023). https://doi.org/10.1038/s41598-023-34491-3
2. Pham, D.B., Pham, D.T., Dao, Q.T., Nguyen, V.A.: Takagi-sugeno fuzzy control for stabilizing nonlinear inverted pendulum. In: Anh, N.L., Koh, SJ., Nguyen, T.D.L., Lloret, J., Nguyen, T.T. (eds.) Intelligent Systems and Networks. Lecture Notes in Networks and Systems, vol. 471, pp. 333–341 (2022). Springer, Singapore.https://doi.org/10.1007/978-981-19-3394-3_38
3. Jiao, Z., et al.: Research on Takagi-Sugeno fuzzy-model-based vehicle stability control for autonomous vehicles. Actuators 11(6), 143. MDPI (2022). https://doi.org/10.3390/act11060143
4. Elouni, M., Hamdi, H., Rabaoui, B., BenHadj Braiek, N.: Adaptive PID fault-tolerant tracking controller for takagi-sugeno fuzzy systems with actuator faults: application to single-link flexible joint robot. Int. J. Robot. Control Syst. 2(3) (2022). https://doi.org/10.31763/ijrcs.v2i3.762
5. Aldarraji, I., et al.: Takagi-sugeno fuzzy modeling and control for effective robotic manipulator motion (2021). arXiv preprint arXiv:2112.03006. https://doi.org/10.48550/arXiv.2112.03006
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