Artigos de revistas sobre o tema "Resolution of fuzzy polynomial systems"
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Adil, Bouhouch, Er-Rafyg Aicha e Ez-Zahout Abderrahmane. "Neural network to solve fuzzy constraint satisfaction problems". IAES International Journal of Artificial Intelligence (IJ-AI) 13, n.º 1 (1 de março de 2024): 228. http://dx.doi.org/10.11591/ijai.v13.i1.pp228-235.
Texto completo da fonteGerman, Oleg, e Sara Nasrh. "New Method for Optimal Feature Set Reduction". Informatics and Automation 19, n.º 6 (11 de dezembro de 2020): 1198–221. http://dx.doi.org/10.15622/ia.2020.19.6.3.
Texto completo da fonteChen, Ying-Jen, Hua O. Wang, Motoyasu Tanaka, Kazuo Tanaka e Hiroshi Ohtake. "Discrete polynomial fuzzy systems control". IET Control Theory & Applications 8, n.º 4 (6 de março de 2014): 288–96. http://dx.doi.org/10.1049/iet-cta.2013.0645.
Texto completo da fonteQiu, Yu, Hong Yang, Yan-Qing Zhang e Yichuan Zhao. "Polynomial regression interval-valued fuzzy systems". Soft Computing 12, n.º 2 (23 de maio de 2007): 137–45. http://dx.doi.org/10.1007/s00500-007-0189-4.
Texto completo da fonteAubry, Philippe, Jérémy Marrez e Annick Valibouze. "Computing real solutions of fuzzy polynomial systems". Fuzzy Sets and Systems 399 (novembro de 2020): 55–76. http://dx.doi.org/10.1016/j.fss.2020.01.004.
Texto completo da fonteOH, S., W. PEDRYCZ e S. ROH. "Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons". Information Sciences 176, n.º 23 (4 de dezembro de 2006): 3490–519. http://dx.doi.org/10.1016/j.ins.2005.11.009.
Texto completo da fonteKu, Cheung-Chieh, Chein-Chung Sun, Shao-Hao Jian e Wen-Jer Chang. "Passive Fuzzy Controller Design for the Parameter-Dependent Polynomial Fuzzy Model". Mathematics 11, n.º 11 (28 de maio de 2023): 2482. http://dx.doi.org/10.3390/math11112482.
Texto completo da fonteKharrati, Hamed, Sohrab Khanmohammadi, Witold Pedrycz e Ghasem Alizadeh. "Improved Polynomial Fuzzy Modeling and Controller with Stability Analysis for Nonlinear Dynamical Systems". Mathematical Problems in Engineering 2012 (2012): 1–21. http://dx.doi.org/10.1155/2012/273631.
Texto completo da fonteShen, Yu-Hsuan, Ying-Jen Chen, Fan-Nong Yu, Wen-June Wang e Kazuo Tanaka. "Descriptor Representation-Based Guaranteed Cost Control Design Methodology for Polynomial Fuzzy Systems". Processes 10, n.º 9 (7 de setembro de 2022): 1799. http://dx.doi.org/10.3390/pr10091799.
Texto completo da fonteNasiri, Alireza, Sing Kiong Nguang, Akshya Swain e Dhafer Almakhles. "Stabilisation of discrete-time polynomial fuzzy systems via a polynomial lyapunov approach". International Journal of Systems Science 49, n.º 3 (21 de dezembro de 2017): 557–66. http://dx.doi.org/10.1080/00207721.2017.1407006.
Texto completo da fonteZhou, Qi, Ziran Chen, Xinchen Li e Yabin Gao. "Quantized control for polynomial fuzzy discrete-time systems". Complexity 21, n.º 2 (26 de setembro de 2014): 325–32. http://dx.doi.org/10.1002/cplx.21607.
Texto completo da fonteChibani, Ali, Mohammed Chadli e Naceur Benhadj Braiek. "A sum of squares approach for polynomial fuzzy observer design for polynomial fuzzy systems with unknown inputs". International Journal of Control, Automation and Systems 14, n.º 1 (fevereiro de 2016): 323–30. http://dx.doi.org/10.1007/s12555-014-0406-8.
Texto completo da fonteKO, K. H., T. SAKKALIS e N. M. PATRIKALAKIS. "RESOLUTION OF MULTIPLE ROOTS OF NONLINEAR POLYNOMIAL SYSTEMS". International Journal of Shape Modeling 11, n.º 01 (junho de 2005): 121–47. http://dx.doi.org/10.1142/s021865430500075x.
Texto completo da fonteHosseini Rostami, Seyyed Mohammad, Babak Sheikhi, Ahmad Jafari e Mohammadreza Darvish. "Modeling and Control of Electrical Power and Energy Produced by a Synchronous Generator Using Polynomial Fuzzy Systems and Sum-Of-Squares Approach". Journal of Computational and Theoretical Nanoscience 18, n.º 6 (1 de junho de 2021): 1653–66. http://dx.doi.org/10.1166/jctn.2021.9732.
Texto completo da fonteHosseini Rostami, Seyyed Mohammad, Babak Sheikhi, Ahmad Jafari e Mohammadreza Darvish. "Modeling and Control of Electrical Power and Energy Produced by a Synchronous Generator Using Polynomial Fuzzy Systems and Sum-Of-Squares Approach". Journal of Computational and Theoretical Nanoscience 18, n.º 6 (1 de junho de 2021): 1653–66. http://dx.doi.org/10.1166/jctn.2021.9732.
Texto completo da fonteHosseini Rostami, Seyyed Mohammad, Babak Sheikhi, Ahmad Jafari e Mohammadreza Darvish. "Modeling and Control of Electrical Power and Energy Produced by a Synchronous Generator Using Polynomial Fuzzy Systems and Sum-Of-Squares Approach". Journal of Computational and Theoretical Nanoscience 18, n.º 6 (1 de junho de 2021): 1653–66. http://dx.doi.org/10.1166/jctn.2021.9732.
Texto completo da fonteLam, H. K., L. D. Seneviratne e X. Ban. "Fuzzy control of non-linear systems using parameter-dependent polynomial fuzzy model". IET Control Theory & Applications 6, n.º 11 (2012): 1645. http://dx.doi.org/10.1049/iet-cta.2011.0310.
Texto completo da fonteSala, Antonio. "On the conservativeness of fuzzy and fuzzy-polynomial control of nonlinear systems". Annual Reviews in Control 33, n.º 1 (abril de 2009): 48–58. http://dx.doi.org/10.1016/j.arcontrol.2009.02.001.
Texto completo da fonteOH, SUNG-KWUN, DONG-WON KIM e WITOLD PEDRYCZ. "HYBRID FUZZY POLYNOMIAL NEURAL NETWORKS". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, n.º 03 (junho de 2002): 257–80. http://dx.doi.org/10.1142/s0218488502001478.
Texto completo da fonteFarahani, Hamed, Sajjad Rahmany, Abdolali Basiri e Ali Abbasi Molai. "Resolution of a system of fuzzy polynomial equations using eigenvalue method". Soft Computing 19, n.º 2 (28 de fevereiro de 2014): 283–91. http://dx.doi.org/10.1007/s00500-014-1249-1.
Texto completo da fonteCastro, Juan R., Oscar Castillo, Mauricio A. Sanchez, Olivia Mendoza, Antonio Rodríguez-Diaz e Patricia Melin. "Method for Higher Order polynomial Sugeno Fuzzy Inference Systems". Information Sciences 351 (julho de 2016): 76–89. http://dx.doi.org/10.1016/j.ins.2016.02.045.
Texto completo da fonteFarahani, Hamed, e Hossein Jafari. "SOLVING FULLY FUZZY POLYNOMIAL EQUATIONS SYSTEMS USING EIGENVALUE METHOD". Advances in Fuzzy Sets and Systems 24, n.º 1 (30 de junho de 2019): 29–54. http://dx.doi.org/10.17654/fs024010029.
Texto completo da fonteLam, H. K., e J. C. Lo. "Output Regulation of Polynomial-Fuzzy-Model-Based Control Systems". IEEE Transactions on Fuzzy Systems 21, n.º 2 (abril de 2013): 262–74. http://dx.doi.org/10.1109/tfuzz.2012.2211365.
Texto completo da fonteMeng, Aiwen, Hak-Keung Lam, Yan Yu, Xiaomiao Li e Fucai Liu. "Static Output Feedback Stabilization of Positive Polynomial Fuzzy Systems". IEEE Transactions on Fuzzy Systems 26, n.º 3 (junho de 2018): 1600–1612. http://dx.doi.org/10.1109/tfuzz.2017.2736964.
Texto completo da fonteYu, Gwo-Ruey, Yong-Dong Chang e Chih-Heng Chang. "Synthesis of Polynomial Fuzzy Model-Based Designs with Synchronization and Secure Communications for Chaos Systems with H∞ Performance". Processes 9, n.º 11 (22 de novembro de 2021): 2088. http://dx.doi.org/10.3390/pr9112088.
Texto completo da fonteAshar, Alissa Ully, Motoyasu Tanaka e Kazuo Tanaka. "Stabilization and Robust Stabilization of Polynomial Fuzzy Systems: A Piecewise Polynomial Lyapunov Function Approach". International Journal of Fuzzy Systems 20, n.º 5 (14 de dezembro de 2017): 1423–38. http://dx.doi.org/10.1007/s40815-017-0435-6.
Texto completo da fonteLam, H. K., Mohammad Narimani, Hongyi Li e Honghai Liu. "Stability Analysis of Polynomial-Fuzzy-Model-Based Control Systems Using Switching Polynomial Lyapunov Function". IEEE Transactions on Fuzzy Systems 21, n.º 5 (outubro de 2013): 800–813. http://dx.doi.org/10.1109/tfuzz.2012.2230005.
Texto completo da fonteSadykova, Zulfira F., e Vladimir A. Abaev. "POLYNOMIAL APPROXIMATION OF FUZZY DATA AND SOLUTION OF FUZZY SYSTEMS OF LINEAR EQUATIONS". SOFT MEASUREMENTS AND COMPUTING 2, n.º 63 (2023): 53–65. http://dx.doi.org/10.36871/2618-9976.2023.02.004.
Texto completo da fonteAbbasi Molai, Ali, Abdolali Basiri e Sajjad Rahmany. "Resolution of a system of fuzzy polynomial equations using the Gröbner basis". Information Sciences 220 (janeiro de 2013): 541–58. http://dx.doi.org/10.1016/j.ins.2012.07.029.
Texto completo da fonteCHAKRABORTY, CHANDAN, e DEBJANI CHAKRABORTY. "FUZZY LINEAR AND POLYNOMIAL REGRESSION MODELLING OF ‘IF-THEN’ FUZZY RULEBASE". International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16, n.º 02 (abril de 2008): 219–32. http://dx.doi.org/10.1142/s0218488508005145.
Texto completo da fonteSung-Kwun Oh, W. Pedrycz e Ho-Sung Park. "Genetically optimized fuzzy polynomial neural networks". IEEE Transactions on Fuzzy Systems 14, n.º 1 (fevereiro de 2006): 125–44. http://dx.doi.org/10.1109/tfuzz.2005.861620.
Texto completo da fonteSala, Antonio, e Thierry M. Guerra. "Stability Analysis of Fuzzy Systems: membership-shape and polynomial approaches". IFAC Proceedings Volumes 41, n.º 2 (2008): 5605–10. http://dx.doi.org/10.3182/20080706-5-kr-1001.00945.
Texto completo da fonteChen, Taolue, Tingting Han e Yongzhi Cao. "Polynomial-time algorithms for computing distances of fuzzy transition systems". Theoretical Computer Science 727 (maio de 2018): 24–36. http://dx.doi.org/10.1016/j.tcs.2018.03.002.
Texto completo da fonteLiu, FuChun. "Polynomial-time verification of diagnosability of fuzzy discrete event systems". Science China Information Sciences 57, n.º 6 (7 de março de 2014): 1–10. http://dx.doi.org/10.1007/s11432-013-4945-z.
Texto completo da fonteLendek, Zs, J. Lauber, T. M. Guerra, R. Babuška e B. De Schutter. "Adaptive observers for TS fuzzy systems with unknown polynomial inputs". Fuzzy Sets and Systems 161, n.º 15 (agosto de 2010): 2043–65. http://dx.doi.org/10.1016/j.fss.2010.03.010.
Texto completo da fonteSeok-Beom Roh, W. Pedrycz e Sung-Kwun Oh. "Genetic Optimization of Fuzzy Polynomial Neural Networks". IEEE Transactions on Industrial Electronics 54, n.º 4 (agosto de 2007): 2219–38. http://dx.doi.org/10.1109/tie.2007.894714.
Texto completo da fonteChen, Xiaoxing, e Manfeng Hu. "Finite-Time Stability and Controller Design of Continuous-Time Polynomial Fuzzy Systems". Abstract and Applied Analysis 2017 (2017): 1–12. http://dx.doi.org/10.1155/2017/3273480.
Texto completo da fonteNarimani, Mohammand, e H. K. Lam. "SOS-Based Stability Analysis of Polynomial Fuzzy-Model-Based Control Systems Via Polynomial Membership Functions". IEEE Transactions on Fuzzy Systems 18, n.º 5 (outubro de 2010): 862–71. http://dx.doi.org/10.1109/tfuzz.2010.2050890.
Texto completo da fonteAbdollahzade, Majid, e Reza Kazemi. "A Developed Local Polynomial Neuro-Fuzzy Model for Nonlinear System Identification". International Journal on Artificial Intelligence Tools 24, n.º 03 (junho de 2015): 1550004. http://dx.doi.org/10.1142/s0218213015500049.
Texto completo da fonteOh, Sung-Kwun, e Witold Pedrycz. "Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks". International Journal of General Systems 32, n.º 3 (junho de 2003): 237–50. http://dx.doi.org/10.1080/0308107031000090756.
Texto completo da fonteMewada, Hiren, Amit V. Patel, Jitendra Chaudhari, Keyur Mahant e Alpesh Vala. "Composite fuzzy-wavelet-based active contour for medical image segmentation". Engineering Computations 37, n.º 9 (6 de junho de 2020): 3525–41. http://dx.doi.org/10.1108/ec-11-2019-0529.
Texto completo da fonteMugambi, E. M., Andrew Hunter, Giles Oatley e Lee Kennedy. "Polynomial-fuzzy decision tree structures for classifying medical data". Knowledge-Based Systems 17, n.º 2-4 (maio de 2004): 81–87. http://dx.doi.org/10.1016/j.knosys.2004.03.003.
Texto completo da fonteFirouzkouhi, Narjes, Abbas Amini, Chun Cheng, Mehdi Soleymani e Bijan Davvaz. "Fundamental relations and identities of fuzzy hyperalgebras". Journal of Intelligent & Fuzzy Systems 41, n.º 1 (11 de agosto de 2021): 2265–74. http://dx.doi.org/10.3233/jifs-210994.
Texto completo da fonteAmmar, Imen Iben, Hamdi Gassara, Ahmed El Hajjaji e Mohamed Chaabane. "New Polynomial Lyapunov Functional Approach to Observer-Based Control for Polynomial Fuzzy Systems with Time Delay". International Journal of Fuzzy Systems 20, n.º 4 (27 de dezembro de 2017): 1057–68. http://dx.doi.org/10.1007/s40815-017-0425-8.
Texto completo da fonteElias, Leandro J., Flávio A. Faria, Rayza Araujo e Vilma A. Oliveira. "Stability conditions of TS fuzzy systems with switched polynomial Lyapunov functions". IFAC-PapersOnLine 53, n.º 2 (2020): 6352–57. http://dx.doi.org/10.1016/j.ifacol.2020.12.1768.
Texto completo da fonteLi, Lizhen, e Kazuo Tanaka. "Relaxed Sum-of-squares Approach to Stabilization of Polynomial Fuzzy Systems". International Journal of Control, Automation and Systems 19, n.º 8 (16 de junho de 2021): 2921–30. http://dx.doi.org/10.1007/s12555-020-0242-y.
Texto completo da fonteSanjaya, Bomo W., Bambang Riyanto Trilaksono e Arief Syaichu-Rohman. "H∞ Control of Polynomial Fuzzy Systems: A Sum of Squares Approach". Journal of Engineering and Technological Sciences 46, n.º 2 (julho de 2014): 152–69. http://dx.doi.org/10.5614/j.eng.technol.sci.2014.46.2.3.
Texto completo da fonteJang, Yong Hoon, Han Sol Kim, Young Hoon Joo e Jin Bae Park. "Robust H∞Disturbance Attenuation Control of Continuous-time Polynomial Fuzzy Systems". Journal of Institute of Control, Robotics and Systems 22, n.º 6 (1 de junho de 2016): 429–34. http://dx.doi.org/10.5302/j.icros.2016.16.0030.
Texto completo da fonteBoroujeni, Marziyeh, Abdolali Basiri, Sajjad Rahmany e Annick Valibouze. "Finding solutions of fuzzy polynomial equations systems by an Algebraic method". Journal of Intelligent & Fuzzy Systems 30, n.º 2 (9 de fevereiro de 2016): 791–800. http://dx.doi.org/10.3233/ifs-151801.
Texto completo da fontePakkhesal, Sajjad, e Iman Mohammadzaman. "Less conservative output-feedback tracking control design for polynomial fuzzy systems". IET Control Theory & Applications 12, n.º 13 (4 de setembro de 2018): 1843–52. http://dx.doi.org/10.1049/iet-cta.2017.1271.
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