{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T22:17:59Z","timestamp":1783203479452,"version":"3.54.6"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T00:00:00Z","timestamp":1747699200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100004663","name":"Ministry of Science and Technology of Taiwan","doi-asserted-by":"crossref","award":["MOST-2221-E-155-027-MY3"],"award-info":[{"award-number":["MOST-2221-E-155-027-MY3"]}],"id":[{"id":"10.13039\/501100004663","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1007\/s40815-025-02046-5","type":"journal-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T16:03:43Z","timestamp":1747757023000},"page":"1691-1707","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Self-Organizing Takagi\u2013Sugeno\u2013Kang Fuzzy Elliptic Type-2 CMAC for Nonlinear Systems with Uncertainty"],"prefix":"10.1007","volume":"28","author":[{"given":"Duc-Hung","family":"Pham","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chih-Min","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Van-Nam","family":"Giap","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Van-Trung","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ngoc-Thang","family":"Pham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,20]]},"reference":[{"key":"2046_CR1","unstructured":"Nadeem, A., Rizvi, A.A., Noor, M.Y.: Applying a higher number of output membership functions to enhance the precision of a fuzzy system. In: IEEE Transactions on Emerging Topics in Computational Intelligence (2024)"},{"issue":"1","key":"2046_CR2","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1186\/s42400-024-00223-x","volume":"7","author":"C Kim","year":"2024","unstructured":"Kim, C., So-In, C., Kongsorot, Y., Aimtongkham, P.: FLSec-RPL: a fuzzy logic-based intrusion detection scheme for securing RPL-based IoT networks against DIO neighbor suppression attacks. Cybersecurity 7(1), 27 (2024)","journal-title":"Cybersecurity"},{"key":"2046_CR3","doi-asserted-by":"crossref","unstructured":"G\u00fcven, Y., K\u00f6kl\u00fc, A., Kumbasar, T.: Exploring Zadeh\u2019s general type-2 fuzzy logic systems for uncertainty quantification. In: IEEE Transactions on Fuzzy Systems (2024)","DOI":"10.1109\/TFUZZ.2024.3426363"},{"key":"2046_CR4","doi-asserted-by":"crossref","unstructured":"Pham, V.-T., Vaidyanathan, S., Volos, C., Wang, X., Hoang, D.V.: A hyperjerk memristive system with hidden attractors. In: Advances in Memristors, Memristive Devices and Systems. Springer, New York, pp. 59\u201380 (2017)","DOI":"10.1007\/978-3-319-51724-7_3"},{"issue":"12","key":"2046_CR5","doi-asserted-by":"publisher","first-page":"13684","DOI":"10.1109\/TCYB.2021.3134245","volume":"52","author":"C-M Lin","year":"2021","unstructured":"Lin, C.-M., Pham, D.-H., Huynh, T.-T.: Encryption and decryption of audio signal and image secure communications using chaotic system synchronization control by TSK fuzzy brain emotional learning controllers. IEEE Transactions on Cybernetics 52(12), 13684\u201398 (2021)","journal-title":"IEEE Transactions on Cybernetics"},{"key":"2046_CR6","doi-asserted-by":"crossref","unstructured":"Kumar, A., Raj, R., Mohammadzadeh, A.: Recent advancements in type-3 fuzzy logic systems: a comprehensive review. In: IEEE Transactions on Emerging Topics in Computational Intelligence (2024)","DOI":"10.1109\/TETCI.2024.3433514"},{"issue":"3","key":"2046_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2024.107149","volume":"361","author":"T Li","year":"2024","unstructured":"Li, T., Mohammadzadeh, A., Zhang, C.: A hybrid fuzzy predictive controller for structural systems: adaptive identification, stable scheme, and experimental validation. J. Franklin Inst. 361(3), 107149 (2024)","journal-title":"J. Franklin Inst."},{"issue":"2","key":"2046_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2023.102356","volume":"15","author":"A Ali","year":"2024","unstructured":"Ali, A., Ali, A., Masud, F., Bashir, M.K., Zahid, A.H., Mustafa, G., et al.: Enhanced fuzzy logic zone stable election protocol for cluster head election (E-FLZSEPFCH) and multipath routing in wireless sensor networks. Ain Shams Eng. J. 15(2), 102356 (2024)","journal-title":"Ain Shams Eng. J."},{"key":"2046_CR9","doi-asserted-by":"crossref","unstructured":"K\u00f6kl\u00fc, A., G\u00fcven, Y., Kumbasar, T.: Enhancing interval type-2 fuzzy logic systems: learning for precision and prediction intervals. In: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20137. IEEE (2024)","DOI":"10.1109\/FUZZ-IEEE60900.2024.10612062"},{"key":"2046_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rico.2024.100391","volume":"14","author":"S Roy","year":"2024","unstructured":"Roy, S., Vuong, D.-P., Jana, D.K.: Priority-aware scheduling method based on linguistic interval type 2 fuzzy logic systems for dense industrial IoT networks employing soft computing. Results in Control and Optimization 14, 100391 (2024)","journal-title":"Results in Control and Optimization"},{"key":"2046_CR11","unstructured":"Moghaddam, M.J.: A Survey on genetic fuzzy systems. In: Archives of Computational Methods in Engineering, pp. 1\u201346 (2024)"},{"issue":"1","key":"2046_CR12","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TIV.2023.3281578","volume":"9","author":"W Song","year":"2023","unstructured":"Song, W., Li, Y., Tong, S.: Fuzzy finite-time $$H_{\\infty }$$ hybrid-triggered dynamic positioning control of nonlinear unmanned marine vehicles under cyber-Attacks. IEEE Transactions on Intelligent Vehicles 9(1), 970\u201380 (2023)","journal-title":"IEEE Transactions on Intelligent Vehicles"},{"key":"2046_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121073","volume":"679","author":"C Yuan","year":"2024","unstructured":"Yuan, C., Xie, Y., Xie, S., Tang, Z.: Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes. Inf. Sci. 679, 121073 (2024)","journal-title":"Inf. Sci."},{"key":"2046_CR14","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3456818","author":"A Zhou","year":"2024","unstructured":"Zhou, A., Zhu, Z., Ghaderpour, E., Shakibjoo, A.D., Taghavifar, H., Mohammadzadeh, A., et al.: Fault detection and isolation in wind turbines: type-3 fuzzy logic systems and adaptive random search learning. IEEE Access (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3456818","journal-title":"IEEE Access"},{"key":"2046_CR15","doi-asserted-by":"publisher","first-page":"7298","DOI":"10.1109\/ACCESS.2024.3352129","volume":"12","author":"W Xue","year":"2024","unstructured":"Xue, W., Zhou, B., Chen, F., Taghavifar, H., Mohammadzadeh, A., Ghaderpour, E.: A constrained fuzzy control for robotic systems. IEEE Access 12, 7298\u20137309 (2024)","journal-title":"IEEE Access"},{"key":"2046_CR16","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.egyr.2024.06.018","volume":"12","author":"S-R Yan","year":"2024","unstructured":"Yan, S.-R., Dai, Y., Shakibjoo, A.D., Zhu, L., Taghizadeh, S., Ghaderpour, E., et al.: A fractional-order multiple-model type-2 fuzzy control for interconnected power systems incorporating renewable energies and demand response. Energy Rep. 12, 187\u201396 (2024)","journal-title":"Energy Rep."},{"issue":"5","key":"2046_CR17","doi-asserted-by":"publisher","first-page":"151","DOI":"10.4236\/jcc.2024.125011","volume":"12","author":"EA Apasiya","year":"2024","unstructured":"Apasiya, E.A., Salifu, A.-M., Agbedemnab, P.A.-N.: New approaches to the prognosis and diagnosis of breast cancer using fuzzy expert systems. J. Comput. Commun. 12(5), 151\u201369 (2024)","journal-title":"J. Comput. Commun."},{"key":"2046_CR18","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/978-3-031-35378-9","volume-title":"Interval Type-2 Fuzzy Systems. Explainable Uncertain Rule-Based Fuzzy Systems","author":"JM Mendel","year":"2024","unstructured":"Mendel, J.M.: Interval Type-2 Fuzzy Systems. Explainable Uncertain Rule-Based Fuzzy Systems, pp. 385\u2013451. Springer, Berlin (2024)"},{"key":"2046_CR19","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/978-3-031-35378-9_8","volume-title":"Type-Reduction: Uncertainty Measures. Explainable Uncertain Rule-Based Fuzzy Systems","author":"JM Mendel","year":"2024","unstructured":"Mendel, J.M.: Type-Reduction: Uncertainty Measures. Explainable Uncertain Rule-Based Fuzzy Systems, pp. 341\u201383. Springer, Berlin (2024)"},{"key":"2046_CR20","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1007\/978-3-031-35378-9","volume-title":"Type-2 Fuzzy Sets Including Word Models. Explainable Uncertain Rule-Based Fuzzy Systems","author":"JM Mendel","year":"2024","unstructured":"Mendel, J.M.: Type-2 Fuzzy Sets Including Word Models. Explainable Uncertain Rule-Based Fuzzy Systems, pp. 237\u2013280. Springer, Berlin (2024)"},{"key":"2046_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.121154","volume":"680","author":"A El Mobaraky","year":"2024","unstructured":"El Mobaraky, A., Kouiss, K., Chebak, A.: First-order rule partitions-based decomposition technique of type-1 and interval type-2 rule-based fuzzy systems for computational and memory efficiency. Inf. Sci. 680, 121154 (2024)","journal-title":"Inf. Sci."},{"key":"2046_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2023.108744","volume":"477","author":"AK Shukla","year":"2024","unstructured":"Shukla, A.K., Muhuri, P.K.: A novel deep belief network architecture with interval type-2 fuzzy set based uncertain parameters towards enhanced learning. Fuzzy Sets Syst. 477, 108744 (2024)","journal-title":"Fuzzy Sets Syst."},{"key":"2046_CR23","doi-asserted-by":"crossref","unstructured":"Alberto-Rodr\u00edguez, A., L\u00f3pez-Morales, V., Ramos-Fern\u00e1ndez, J.C.: Novel interval type-2 ANFIS modeling based on one-step type reducer algorithm. Int. J. Fuzzy Syst. 1\u201314 (2024)","DOI":"10.1007\/s40815-024-01754-8"},{"key":"2046_CR24","doi-asserted-by":"crossref","unstructured":"Amartya, P.S., Kabir, S., Babu, S.C., Jahan, M.: An interval creation approach to construct interval type-2 fuzzy sets. In: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20139. IEEE (2024)","DOI":"10.1109\/FUZZ-IEEE60900.2024.10611950"},{"key":"2046_CR25","first-page":"1","volume":"46","author":"B Narayanan","year":"2024","unstructured":"Narayanan, B., Muthusamy, S.: Investigation on the influence of a new trapezoidal-triangular membership function in IT2FLS with type-reductions for a manufacturing application. J. Intell. Fuzzy Syst. 46, 1\u201316 (2024)","journal-title":"J. Intell. Fuzzy Syst."},{"key":"2046_CR26","doi-asserted-by":"publisher","DOI":"10.1177\/01423312241275766","author":"A Gani","year":"2024","unstructured":"Gani, A.: Advanced controller design based on interval type-2 fuzzy neural network for elementary super-lift Luo converter. Trans. Inst. Meas. Control. (2024). https:\/\/doi.org\/10.1177\/01423312241275766","journal-title":"Trans. Inst. Meas. Control."},{"key":"2046_CR27","doi-asserted-by":"publisher","first-page":"53687","DOI":"10.1109\/ACCESS.2023.3277537","volume":"11","author":"DH Pham","year":"2023","unstructured":"Pham, D.H., Lin, C.M., Giap, V.N., Vu, V.P., Cho, H.Y.: Design of missile guidance law using Takagi-Sugeno-Kang (TSK) elliptic type-2 fuzzy brain imitated neural networks. IEEE Access. 11, 53687\u2013702 (2023). https:\/\/doi.org\/10.1109\/ACCESS.2023.3277537","journal-title":"IEEE Access."},{"key":"2046_CR28","unstructured":"Narayanan, K.B., Sreekumar, M.: Diagnosing of risk state in subsystems of CNC turning center using interval type-2 fuzzy logic system with semi elliptic membership functions. Int. J. Fuzzy Syst. 1\u201318 (2021)"},{"key":"2046_CR29","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Lam, H-K., Ying, H., Xu, G.: CMAC-based SMC for uncertain descriptor systems using reachable set learning. In: IEEE Transactions on Systems, Man, and Cybernetics: Systems (2023)","DOI":"10.1109\/TSMC.2023.3311540"},{"key":"2046_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40815-024-01751-x","volume":"26","author":"D-H Pham","year":"2024","unstructured":"Pham, D.-H., Lin, C.-M., Giap, V.-N.: Intelligent control system design for nonlinear systems using an improved tsk wavelet type-2 fuzzy brain emotional controller. Int. J. Fuzzy Syst. 26, 1\u201314 (2024)","journal-title":"Int. J. Fuzzy Syst."},{"key":"2046_CR31","doi-asserted-by":"publisher","first-page":"8725","DOI":"10.1007\/s00521-019-04366-8","volume":"32","author":"T-L Le","year":"2020","unstructured":"Le, T.-L., Huynh, T.-T., Lin, C.-M.: Adaptive filter design for active noise cancellation using recurrent type-2 fuzzy brain emotional learning neural network. Neural Comput. Appl. 32, 8725\u201334 (2020)","journal-title":"Neural Comput. Appl."},{"key":"2046_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2022.159493","volume":"857","author":"V Moosavi","year":"2023","unstructured":"Moosavi, V., Karami, A., Aliramaee, R.: High-resolution soil moisture mapping using PSO-based optimized cerebellar model articulation controller (CMAC). Sci. Total Environ. 857, 159493 (2023)","journal-title":"Sci. Total Environ."},{"key":"2046_CR33","doi-asserted-by":"publisher","first-page":"75923","DOI":"10.1109\/ACCESS.2021.3080696","volume":"9","author":"C-M Lin","year":"2021","unstructured":"Lin, C.-M., Pham, D.-H., Huynh, T.-T.: Synchronization of chaotic system using a brain-imitated neural network controller and its applications for secure communications. IEEE Access 9, 75923\u201344 (2021)","journal-title":"IEEE Access"},{"key":"2046_CR34","doi-asserted-by":"publisher","first-page":"2857","DOI":"10.1109\/TIP.2023.3251029","volume":"32","author":"Q Yan","year":"2023","unstructured":"Yan, Q., Gong, D., Wang, P., Zhang, Z., Zhang, Y., Shi, J.Q.: SharpFormer: learning local feature preserving global representations for image deblurring. IEEE Trans. Image Process. 32, 2857\u201366 (2023)","journal-title":"IEEE Trans. Image Process."},{"key":"2046_CR35","doi-asserted-by":"crossref","unstructured":"Liu, S., Oh, S-K., Pedrycz, W., Yang, B., Wang, L., Seo, K.: Fuzzy adaptive knowledge-based inference neural networks: design and analysis. In: IEEE Transactions on Cybernetics (2024)","DOI":"10.1109\/TCYB.2024.3353753"},{"issue":"20","key":"2046_CR36","doi-asserted-by":"publisher","first-page":"17095","DOI":"10.1007\/s00521-023-08568-z","volume":"35","author":"M Reyad","year":"2023","unstructured":"Reyad, M., Sarhan, A.M., Arafa, M.: A modified Adam algorithm for deep neural network optimization. Neural Comput. Appl. 35(20), 17095\u2013112 (2023)","journal-title":"Neural Comput. Appl."},{"key":"2046_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2023.127944","volume":"448","author":"X Han","year":"2023","unstructured":"Han, X., Dong, J.: Applications of fractional gradient descent method with adaptive momentum in BP neural networks. Appl. Math. Comput. 448, 127944 (2023)","journal-title":"Appl. Math. Comput."},{"key":"2046_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2024.112064","volume":"165","author":"S Tian","year":"2024","unstructured":"Tian, S., Zhao, T.: Self-organizing interval type-2 function-link fuzzy neural network control for uncertain manipulators under saturation: a predefined-time sliding-mode approach. Appl. Soft Comput. 165, 112064 (2024)","journal-title":"Appl. Soft Comput."},{"key":"2046_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120716","volume":"672","author":"C Sun","year":"2024","unstructured":"Sun, C., Liu, Z., Wu, X., Yang, H., Han, H.: Information orientation-based modular Type-2 fuzzy neural network. Inf. Sci. 672, 120716 (2024)","journal-title":"Inf. Sci."},{"key":"2046_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2024.115597","volume":"189","author":"Y Liu","year":"2024","unstructured":"Liu, Y., Zhao, N.: Adaptive dynamic event-triggered asymptotic control for uncertain nonlinear systems. Chaos Solitons Fractals 189, 115597 (2024)","journal-title":"Chaos Solitons Fractals"},{"key":"2046_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysconle.2023.105700","volume":"183","author":"Y An","year":"2024","unstructured":"An, Y., Liu, Y.: Observer-based dynamic event-triggered adaptive control for uncertain nonlinear strict-feedback systems. Syst. Control Lett. 183, 105700 (2024)","journal-title":"Syst. Control Lett."},{"issue":"10","key":"2046_CR42","doi-asserted-by":"publisher","first-page":"909","DOI":"10.1109\/TAC.1987.1104459","volume":"32","author":"B Anderson","year":"1987","unstructured":"Anderson, B., Jury, E., Mansour, M.: On robust Hurwitz polynomials. IEEE Trans. Autom. Control 32(10), 909\u201313 (1987)","journal-title":"IEEE Trans. Autom. Control"},{"key":"2046_CR43","doi-asserted-by":"crossref","unstructured":"Begian, M.B., Melek, W.W., Mendel, J.M.: Stability analysis of type-2 fuzzy systems. In: 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence), pp. 947\u2013953. IEEE (2008)","DOI":"10.1109\/FUZZY.2008.4630483"},{"issue":"9","key":"2046_CR44","doi-asserted-by":"publisher","first-page":"1377","DOI":"10.1109\/TNN.2009.2013852","volume":"20","author":"C-M Lin","year":"2009","unstructured":"Lin, C.-M., Chen, T.-Y.: Self-organizing CMAC control for a class of MIMO uncertain nonlinear systems. IEEE Trans. Neural Netw. 20(9), 1377\u201384 (2009)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"9","key":"2046_CR45","first-page":"9671","volume":"67","author":"T-T Huynh","year":"2019","unstructured":"Huynh, T.-T., Lin, C.-M., Le, T.-L., Cho, H.-Y., Pham, T.-T.T., Chao, F.: A new self-organizing fuzzy cerebellar model articulation controller for uncertain nonlinear systems using overlapped Gaussian membership functions. IEEE Trans. Ind. Electron. 67(9), 9671\u20139682 (2019)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"6","key":"2046_CR46","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1109\/TAC.2011.2175071","volume":"57","author":"Z Wu","year":"2011","unstructured":"Wu, Z., Xia, Y., Xie, X.: Stochastic Barbalat\u2019s lemma and its applications. IEEE Trans. Autom. Control 57(6), 1537\u201343 (2011)","journal-title":"IEEE Trans. Autom. Control"},{"key":"2046_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-8193-6","volume-title":"Machine Learning: The Basics","author":"A Jung","year":"2022","unstructured":"Jung, A.: Machine Learning: The Basics. Springer, Berlin (2022)"},{"issue":"4","key":"2046_CR48","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TFUZZ.2003.814832","volume":"11","author":"D Ramot","year":"2003","unstructured":"Ramot, D., Friedman, M., Langholz, G., Kandel, A.: Complex fuzzy logic. IEEE Trans. Fuzzy Syst. 11(4), 450\u201361 (2003)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"2046_CR49","doi-asserted-by":"crossref","unstructured":"Li, L.-J., Chang, X., Chao, F., Lin, C.-M., Hu\u1ef3nh, T.-T., Yang, L., et al.: Self-organizing type-2 fuzzy double loop recurrent neural network for uncertain nonlinear system control. In: IEEE Transactions on Neural Networks and Learning Systems (2024)","DOI":"10.1109\/TNNLS.2024.3397045"},{"issue":"7","key":"2046_CR50","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1109\/TCSII.2004.831439","volume":"51","author":"L Chih-Min","year":"2004","unstructured":"Chih-Min, L., Ya-Fu, P., Chun-Fei, H.: Robust cerebellar model articulation controller design for unknown nonlinear systems. IEEE Trans. Circuits Syst. II 51(7), 354\u20138 (2004). https:\/\/doi.org\/10.1109\/TCSII.2004.831439","journal-title":"IEEE Trans. Circuits Syst. II"},{"key":"2046_CR51","doi-asserted-by":"crossref","unstructured":"Peng, Y.-F., Chiu, C.-H., Cho, H.-Y., Wen, H.-M.: Adaptive TSKCMAC-identification-based intelligent backstepping control for nonlinear chaotic systems. In: 2013 9th Asian Control Conference (ASCC), pp. 1\u20136. IEEE (2013)","DOI":"10.1109\/ASCC.2013.6606276"},{"issue":"3","key":"2046_CR52","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1109\/TSMCB.2006.888761","volume":"37","author":"Y-F Peng","year":"2007","unstructured":"Peng, Y.-F., Lin, C.-M.: RCMAC-based adaptive control for uncertain nonlinear systems. IEEE Trans. Syst. Man Cybern. Part B 37(3), 651\u2013666 (2007)","journal-title":"IEEE Trans. Syst. Man Cybern. Part B"},{"issue":"8","key":"2046_CR53","doi-asserted-by":"publisher","first-page":"3384","DOI":"10.1007\/s40815-022-01374-0","volume":"24","author":"H-B Nguyen","year":"2022","unstructured":"Nguyen, H.-B., Lin, C.-M., Huynh, T.-T., Cho, H.-Y., Pham, D.-H., Chao, F., et al.: Fuzzy hybrid neural network control for uncertainty nonlinear systems based on enhancement search algorithm. Int. J. Fuzzy Syst. 24(8), 3384\u2013402 (2022)","journal-title":"Int. J. Fuzzy Syst."}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-025-02046-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-025-02046-5","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-025-02046-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T22:07:14Z","timestamp":1783202834000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-025-02046-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,20]]},"references-count":53,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["2046"],"URL":"https:\/\/doi.org\/10.1007\/s40815-025-02046-5","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,20]]},"assertion":[{"value":"8 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}