Relevant bibliographies by topics / H∞ fuzzy integral control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'H∞ fuzzy integral control'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "H∞ fuzzy integral control"

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Kim, Min-Chan, Seung-Kyu Park, Tae-Sung Yoon, Gun-Pyong Kwak, and Ho-Gyun Ahn. "Weighted Integral H∞Control of Induction Motor using T-S fuzzy." Journal of the Korean Institute of Information and Communication Engineering 17, no. 6 (2013): 1399–408. http://dx.doi.org/10.6109/jkiice.2013.17.6.1399.

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Yu, Xiao Guang, Hong Chao Chu, and Jian Liu. "Fuzzy Control and Simulation Studies of Hot Rolling H-Beam’s Water Supply System." Advanced Materials Research 383-390 (November 2011): 7433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7433.

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We have designed Fuzzy controller to the hot rolling h-beam’s water supply system based on Fuzzy toolbox of Matlab software, we also analyzed the limitations of conventional Fuzzy controller, and puts forward the corresponding improvement measures, which is adding integral functions in Fuzzy controller to eliminate static errors existing at traditional Fuzzy controller. We also adopted Smith predictor to estimate lag phase effects for stability of the system. Simulation results showed that, the controller encompasses rapid responsiveness, excellent stability and strong robustness.
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Nguyen, Thanh Chung, and Huu Tinh Cao. "Design of Robust H∞ Combined with PID Controller Using Fuzzy Logic for a Missile Autopilot." Advances in Military Technology 19, no. 1 (2024): 41–53. http://dx.doi.org/10.3849/aimt.01831.

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This paper presents the synthesis results of a robust H∞ (H-infinity) loop-shaping controller combined with a PID (Proportional-Integral-Derivative) controller using fuzzy logic for the pitch autopilot of a tail control missile. The results take into consideration the change of mass, moment of inertia, and aerodynamic coefficients. The combination of the control signal of the robust controller and the PID controller is formed on the basis of adjusting the membership function of fuzzy logic according to the ITAE (Integral of Time-multiplied Absolute value of Error) optimization criterion. The p
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Chayaopas, Nattapat, and Wudhichai Assawinchaichote. "A novel approach to robust $$\mathcal {H}_\infty $$ H ∞ integral control for TS fuzzy systems." Computational and Applied Mathematics 37, no. 2 (2016): 954–77. http://dx.doi.org/10.1007/s40314-016-0379-8.

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Chiu, Chian-Song, and Tung-Sheng Chiang. "H ∞ output-feedback fuzzy proportional-integral control of fully delayed input/output systems." ISA Transactions 66 (January 2017): 22–31. http://dx.doi.org/10.1016/j.isatra.2016.10.003.

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Wang, Yang, Xin Yang, Liying Hao, Tieshan Li, and C. L. (Philip) Chen. "Integral Sliding Mode Output Feedback Control for Unmanned Marine Vehicles Using T–S Fuzzy Model with Unknown Premise Variables and Actuator Faults." Journal of Marine Science and Engineering 12, no. 6 (2024): 920. http://dx.doi.org/10.3390/jmse12060920.

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This paper addresses integral sliding mode output feedback fault-tolerant control (FTC) of unmanned marine vessels (UMVs) with unknown premise variables and actuator faults. Due to the complexity of the marine environment, the presence of uncertainties in the yaw angle renders the premise variables in the Takagi–Sugeno (T–S) fuzzy model of UMVs unknown. Consequently, traditional integral sliding mode techniques become infeasible. To address this issue, a control strategy combining integral sliding mode based on output feedback with a compensator utilizing switching mechanisms is proposed. Firs
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Louarem, Sabah, Djamel Eddine Chouaib Belkhiat, Tarek Bouktir, and Saad Belkhiat. "An Efficient Active and Reactive Power Control of DFIG for a Wind Power Generator." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4775–82. https://doi.org/10.5281/zenodo.3510286.

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During the last decade, wind energy gained much importance as an energy source in power systems. DFIG energy is one of the most widely accepted types of renewable energy generation because of its several benefits. This paper presents a comparative study on the performance of different control strategies for DFIG wind turbines: proportional&ndash;integral (PI), Artificial Neural Networks (ANN), H<sub>&infin;</sub>, and adaptive Fuzzy PI controller. Simulation results show that DFIG&rsquo;s performance, dynamic response, and robustness against machine parameter variations are improved with H<sub
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Wang, Yang, Li-Ying Hao, Tieshan Li, and C. L. Philip Chen. "Integral Sliding Mode-Based Fault-Tolerant Control for Dynamic Positioning of Unmanned Marine Vehicles Based on a T-S Fuzzy Model." Journal of Marine Science and Engineering 11, no. 2 (2023): 370. http://dx.doi.org/10.3390/jmse11020370.

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This paper investigates a fault-tolerant control problem for the dynamic positioning of unmanned marine vehicles based on a Takagi–Sugeno (T-S) fuzzy model using an integral sliding mode scheme. First, the T-S fuzzy model of an unmanned marine vehicle is established by taking the yaw angle variable range into account. An integral sliding mode control scheme combined with the H∞ performance index is then developed to attenuate the initial influence of thruster faults and ocean disturbances. The unknown nonlinear function is approximated using a fuzzy logic system based on a representation of ma
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Louarem, S. L. S., D. E. C. Belkhiat, T. Bouktir, and S. Belkhiat. "An Efficient Active and Reactive Power Control of DFIG for a Wind Power Generator." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4775–82. http://dx.doi.org/10.48084/etasr.3007.

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During the last decade, wind energy gained much importance as an energy source in power systems. DFIG energy is one of the most widely accepted types of renewable energy generation because of its several benefits. This paper presents a comparative study on the performance of different control strategies for DFIG wind turbines: proportional–integral (PI), Artificial Neural Networks (ANN), H∞, and adaptive Fuzzy PI controller. Simulation results show that DFIG’s performance, dynamic response, and robustness against machine parameter variations are improved with H∞ control technique.
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Gong, Renxi, and Yuan Feng. "The Voltage Balance Control Strategy of Static Var Generators DC-Side Capacitors Based on Fuzzy-PI Adaptive Cascaded H-bridge." Electronics 12, no. 1 (2022): 39. http://dx.doi.org/10.3390/electronics12010039.

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A voltage balance control strategy based on the fuzzy adaptive PI (Proportional Integral control) is proposed to address the problem of unbalanced capacitor voltage on the DC side of cascaded H-bridge static var generators (SVG). In the control strategy, fuzzy control is introduced based on PI control. A duty ratio correction is added to all levels’ public active power duty ratios, thereby realizing the balance of DC-side voltages at all levels. A test was conducted by building a single-phase three-H-bridge unit cascaded SVG simulation platform. The results show that the DC-side voltage balanc
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Dissertations / Theses on the topic "H∞ fuzzy integral control"

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Boesak, C. D. "Controller design via H[infinity] optimal control, quantitative feedback theory and fuzzy logic control : an application to load frequency control." Master's thesis, University of Cape Town, 2000. http://hdl.handle.net/11427/5249.

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Bibliography: leaves 104-112.<br>This thesis describes the application of robust controller design techniques namely H[infinity] optimal control, fuzzy logic control and quantitative feedback theory to the load frequency control problem of power systems. It thus forms a comparative study of these design methods. Load frequency control is the closed loop control of electrical generating units to regulate the system frequency at its nominal value in the presence of load disturbances. Load frequency control also includes the regulation of the tie-line interchange powers.
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Fry, Jedediah Micah. "On Integral Quadratic Constraint Theory and Robust Control of Unmanned Aircraft Systems." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102615.

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This dissertation advances tools for the certification of unmanned aircraft system (UAS) flight controllers. We develop two thrusts to this goal: (1) the validation and improvement of an uncertain UAS framework based on integral quadratic constraint (IQC) theory and (2) the development of novel IQC theorems which allow the analysis of uncertain systems having time-varying characteristics. Pertaining to the first thrust, this work improves and implements an IQC-based robustness analysis framework for UAS. The approach models the UAS using a linear fractional transformation on uncertainties an
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Nogueira, Samuel Lourenço. "Controladores adaptativos não-lineares com critério H aplicados a manipuladores com restrições de força e posição." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-26022010-152411/.

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Neste trabalho é apresentado um estudo comparativo entre quatro controladores H não lineares aplicados a um manipulador robótico com restrições de força e posição. Para estudar o comportamento de cada controlador as seguintes estratégias foram adotadas: (1) o modelo nominal do robô é considerado conhecido e são utilizadas técnicas inteligentes para estimar incertezas paramétricas, dinâmicas não modeladas e distúrbios externos; (2) O modelo do sistema é considerado completamente desconhecido e as técnicas inteligentes são utilizadas para estimar o modelo completo. As técnicas inteligentes utili
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Fonseca, Carlos Andr? Guerra. "Algoritmos gen?ricos para otimiza??o de uma arquitetura de controle inteligente h?er?rquico." Universidade Federal do Rio Grande do Norte, 2005. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15410.

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Made available in DSpace on 2014-12-17T14:56:01Z (GMT). No. of bitstreams: 1 CarlosAGF.pdf: 527942 bytes, checksum: 0d9ef8ecd1c3f6373e19e38612cb52c2 (MD5) Previous issue date: 2005-12-19<br>A hierarchical fuzzy control scheme is applied to improve vibration suppression by using an electro-mechanical system based on the lever principle. The hierarchical intelligent controller consists of a hierarchical fuzzy supervisor, one fuzzy controller and one robust controller. The supervisor combines controllers output signal to generate the control signal that will be applied on the plant. The objecti
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Rodrigues, Marconi C?mara. "T?cnicas inteligentes h?dridas para o controle de sistemas n?o lineares." Universidade Federal do Rio Grande do Norte, 2006. http://repositorio.ufrn.br:8080/jspui/handle/123456789/15349.

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Made available in DSpace on 2014-12-17T14:55:48Z (GMT). No. of bitstreams: 1 MarconiCR.pdf: 3477416 bytes, checksum: 7bf9d3b9014c2ba726d8694085022188 (MD5) Previous issue date: 2006-02-17<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>A neuro-fuzzy system consists of two or more control techniques in only one structure. The main characteristic of this structure is joining one or more good aspects from each technique to make a hybrid controller. This controller can be based in Fuzzy systems, artificial Neural Networks, Genetics Algorithms or rein forced learning techniques.
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Milhor, Carlos Eduardo. "Proposta de um controlador difuso Takagi-Sugeno com desempenho H \'INFINITO\' para regulagem da marcha lenta em motores de ciclo Otto." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/18/18135/tde-21012011-141452/.

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Propõe-se um controlador difuso Takagi-Sugeno com índice de desempenho H \'INFINITO\' para regulagem da marcha lenta em motores de ciclo Otto. Obtém-se uma representação difusa do motor de ciclo Otto operando em marcha lenta. Esse modelo é utilizado para a síntese do controlador. O controlador difuso com desempenho H \'INFINITO\' é projetado para rejeitar o efeito de distúrbios de cargas externas sobre a rotação do motor em regime de marcha lenta. As ações de controle, posição da borboleta de aceleração e ponto de ignição, são limitadas a uma faixa de operação específica para a marcha lenta. O
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Oliveira, Diogo Ramalho de [UNESP]. "Controle H∞ chaveado para sistemas não lineares incertos descritos por modelos fuzzy T-S considerando região de operação e saturação do sinal de controle." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/150960.

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Submitted by DIOGO RAMALHO DE OLIVEIRA null (diogo.oliveira.ee@gmail.com) on 2017-06-22T14:35:42Z No. of bitstreams: 1 Tese_Diogo.pdf: 2317981 bytes, checksum: fa048901c893f57ba87ceec19383ae14 (MD5)<br>Approved for entry into archive by Luiz Galeffi (luizgaleffi@gmail.com) on 2017-06-22T17:28:20Z (GMT) No. of bitstreams: 1 oliveira_dr_dr_ilha.pdf: 2317981 bytes, checksum: fa048901c893f57ba87ceec19383ae14 (MD5)<br>Made available in DSpace on 2017-06-22T17:28:20Z (GMT). No. of bitstreams: 1 oliveira_dr_dr_ilha.pdf: 2317981 bytes, checksum: fa048901c893f57ba87ceec19383ae14 (MD5) Previous i
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Oliveira, Diogo Ramalho de. "Controle H∞ chaveado para sistemas não lineares incertos descritos por modelos fuzzy T-S considerando região de operação e saturação do sinal de controle /." Ilha Solteira, 2017. http://hdl.handle.net/11449/150960.

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Orientador: Marcelo Carvalho Minhoto Teixeira<br>Resumo: Esta tese propõe projetos de controle H∞ chaveado para uma classe de sistemas não lineares incertos descritos por modelos fuzzy Takagi-Sugeno (T-S) com funções de pertinência desconhecidas. Os projetos de controle necessitam somente dos limites inferiores e superiores das não linearidades do sistema, que podem depender de parâmetros incertos da planta. Em diversas aplicações práticas, em virtude das restrições operacionais dos equipamentos, no projeto de controle é necessário considerar que a lei de controle está sujeita à saturação do a
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Antong, Hasmawati P. "Highly redundant and fault tolerant actuator system : control, condition monitoring and experimental validation." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/32792.

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This thesis is concerned with developing a control and condition monitoring system for a class of fault tolerant actuators with high levels of redundancy. The High Redundancy Actuator (HRA) is a concept inspired by biomimetics that aims to provide fault tolerance using relatively large numbers of actuation elements which are assembled in parallel and series configurations to form a single actuator. Each actuation element provides a small contribution to the overall force and displacement of the system. Since the capability of each actuation element is small, the effect of faults within the ind
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Ouriagli, Mohammed. "Contribution à la synthèse de commandes robustes pour machines synchrones à aimants permanents." Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL136N.

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Le travail de mémoire porte sur la synthèse de commandes robustes pour machines synchrones à aimants permanents en tenant compte des amortisseurs et de variations de paramètres de la machine. Dans un premier temps, une commande basée sur le contrôle vectoriel et sur l'utilisation de correcteurs classiques de type proportionnel intégral a été élaborée. Le dimensionnement de ces correcteurs a été facilité par l'introduction d'un algorithme de découplage des courants statoriques direct et en quadrature. Dans un deuxième temps, nous nous sommes intéressé à la synthèse de commandes robustes et part
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Books on the topic "H∞ fuzzy integral control"

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Chang, Xiao-Heng. Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering. Springer Berlin Heidelberg, 2012.

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Chang, Xiao-Heng. Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering. Springer, 2014.

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Book chapters on the topic "H∞ fuzzy integral control"

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Zhang, Bao-Lin, Qing-Long Han, Xian-Ming Zhang, and Gong-You Tang. "Integral Sliding Mode H∞ Control." In Active Control of Offshore Steel Jacket Platforms. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2986-9_4.

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El Hajjaji, A., M. BenAmmar, J. Bosche, M. Chaabene, and A. Rabhi. "Integral Fuzzy Control for Photovoltaic Power Systems." In Sustainability in Energy and Buildings. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03454-1_23.

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Ke, Xizheng, and Pengfei Wu. "Dual Fuzzy Adaptive Proportional Integral Derivative (PID) Control." In Optical Wireless Communication Theory and Technology. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7901-8_5.

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Essounbouli, Najib, Abdelaziz Hamzaoui, and Noureddine Manamanni. "Fuzzy Supervisor for Combining Sliding Mode Control and H∞ Control." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44967-1_56.

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Wang, Feng, and Xiaoping Liu. "Fuzzy H-inf Control of Flexible Joint Robot." In Information Computing and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25255-6_54.

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Rahaman, Mostafijur, Sankar Prasad Mondal, A. El Allaoui, Shariful Alam, Ali Ahmadian, and Soheil Salahshour. "Solution Strategy for Fuzzy Fractional Order Linear Homogeneous Differential Equation by Caputo-H Differentiability and Its Application in Fuzzy EOQ Model." In Advances in Fuzzy Integral and Differential Equations. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73711-5_5.

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Chang, Xiao-Heng, Jun Xiong, Zhi-Min Li, and Bo Wu. "Fuzzy Robust $${\mathscr {H}_\infty }$$ Control with Dynamic Quantization." In Control and Filtering of Fuzzy Systems Under Communication Channels. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4346-3_2.

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Jiang, Baoping, and Hamid Reza Karimi. "Fuzzy Integral Sliding Mode Control of Semi-Markovian Jump Systems." In Sliding Mode Control of Semi-Markovian Jump Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003098041-3.

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Youssfi, Abdelaziz, Youness Hakam, and Youssef Ait El Kadi. "Comparative Study of Proportional–Integral, Fuzzy Logic, and Neural Fuzzy Logic Controllers for Boost Converter." In Advances in Control Power Systems and Emerging Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-51796-9_4.

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Qing, Hu, Qingding Guo, Dongmei Yu, and Xiying Ding. "H ∞ Robust Fuzzy Control of Ultra-High Rise / High Speed Elevators with Uncertainty." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_108.

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Conference papers on the topic "H∞ fuzzy integral control"

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Wang, Wen, Guo-Jun Liu, Fan Wang, et al. "Quantized H∞ Control for Takagi-Sugeno Fuzzy Systems via Line-Integral Lyapunov Functions." In 2024 43rd Chinese Control Conference (CCC). IEEE, 2024. http://dx.doi.org/10.23919/ccc63176.2024.10661396.

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Song, Lei, and Hongjing Liang. "Fuzzy Integral Sliding Mode Control with Switching Gains for Fuzzy Impulsive Systems." In 2024 IEEE 8th International Conference on Vision, Image and Signal Processing (ICVISP). IEEE, 2024. https://doi.org/10.1109/icvisp64524.2024.10959653.

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Aboulkassim, Abdeljabar, Said Kririm, Naoual Armi, Bensalem Boukili, and El Hanafi Arjdal. "New H∞ Fuzzy MPPT Control of Solar Systems using Descriptor Fuzzy Approach." In 2025 5th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET). IEEE, 2025. https://doi.org/10.1109/iraset64571.2025.11008169.

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Chien-Chih Weng and Wen-Shyong Yu. "H∞ tracking adaptive fuzzy integral sliding mode control for parallel manipulators." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6250834.

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Chien-Chih Weng and Wen-Shyong Yu. "H∞ tracking adaptive fuzzy integral sliding mode control for parallel manipulators." In 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2010. http://dx.doi.org/10.1109/icsmc.2010.5642504.

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Makni, Salama, Maha Bouattour, Ahmed El Hajjaji, Mohamed Chaabane, and Jerome Bosche. "H_/H∞ fault detection Proportional Integral observer for uncertain T-S fuzzy systems." In 2018 7th International Conference on Systems and Control (ICSC). IEEE, 2018. http://dx.doi.org/10.1109/icosc.2018.8587837.

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Park, Seungkyu, and Hokyun Ahn. "Robust T-S Fuzzy H∞ control of interior permanent magnet motor using weighted integral action." In 2014 14th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2014. http://dx.doi.org/10.1109/iccas.2014.6987800.

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Minghu Ha and Lanzhen Yang. "Intuitionistic fuzzy Riemann integral." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5191678.

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Raj, Sudhir. "Adaptive Control of PVTOL using H∞ based Integral Sliding Mode Control." In 2021 International Conference on Intelligent Technologies (CONIT). IEEE, 2021. http://dx.doi.org/10.1109/conit51480.2021.9498538.

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Putri, Adiyana, and Endra Joelianto. "Robust H∞ Integral-Backstepping PID Controller for Hydropower System." In 2021 International Conference on Instrumentation, Control, and Automation (ICA). IEEE, 2021. http://dx.doi.org/10.1109/ica52848.2021.9625666.

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Reports on the topic "H∞ fuzzy integral control"

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Mohammadian, Abolfazl, Mohammad Miralinaghi, Alireza Talebpour, Sajad Askari, and Sanaz Kazemzadehazad. State Department of Transportation Support for Operationalizing Transit Signal Priority. Illinois Center for Transportation, 2025. https://doi.org/10.36501/0197-9191/25-005.

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Transit signal priority (TSP) systems have become an integral part of regional intelligent transportation systems integration. They modify signal operations to facilitate faster transit through intersections, improve transit service reliability, reduce delays, and enhance overall transit operational efficiency. Agencies are planning and implementing next-generation TSP systems. However, multifaceted challenges complicate TSP implementation, particularly in urban regions with high traffic density and multiple stakeholders. Exploring these challenges can help develop more efficient deployment st
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Event-Triggered Adaptive Robust Control for Lateral Stability of Steer-by-Wire Vehicles with Abrupt Nonlinear Faults. SAE International, 2022. http://dx.doi.org/10.4271/2022-01-5056.

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Because autonomous vehicles (AVs) equipped with active front steering have the features of time varying, uncertainties, high rate of fault, and high burden on the in-vehicle networks, this article studies the adaptive robust control problem for improving lateral stability in steer-by-wire (SBW) vehicles in the presence of abrupt nonlinear faults. First, an upper-level robust H∞ controller is designed to obtain the desired front-wheel steering angle for driving both the yaw rate and the sideslip angle to reach their correct values. Takagi-Sugeno (T-S) fuzzy modeling method, which has shown the
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