Relevant bibliographies by topics / Takagi Sugeno (TS) fuzzy models

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

Academic literature on the topic 'Takagi Sugeno (TS) fuzzy models'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Takagi Sugeno (TS) fuzzy models"

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Alshammari, Badr, Rim Ben Salah, Omar Kahouli, and Lioua Kolsi. "Design of Fuzzy TS-PDC Controller for Electrical Power System via Rules Reduction Approach." Symmetry 12, no. 12 (2020): 2068. http://dx.doi.org/10.3390/sym12122068.

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In this paper, a new Takagi–Sugeno Fuzzy Logic controller (TS-FLC) is presented and applied for modeling and controlling the nonlinear power systems even in the presence of disturbances. Firstly, a nonlinear mathematical model for the electrical power system is presented with consideration of PSS and AVR controller. Then, a Takagi–Sugeno Fuzzy Logic controller is employed to control power system stability. Nevertheless, the study of the stability of Takagi–Sugeno fuzzy models will be difficult in the case where the number of nonlinearities is important. To cope with this problem, this study pr
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Chiu and Peng. "Design of Takagi-Sugeno Fuzzy Control Scheme for Real World System Control." Sustainability 11, no. 14 (2019): 3855. http://dx.doi.org/10.3390/su11143855.

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In this study, a novelty dual Takagi-Sugeno (TS) fuzzy control scheme (DTSFCS) is proposed for real world system control. We propose using a ball robot (BR) system control problem, where the BR has the ability to move omnidirectionally. The proposed control scheme combines two fuzzy control approaches for a BR. In this fuzzy control approach, the TS fuzzy model was adopted for the fuzzy modeling of the BR. The concept of parallel distributed compensation (PDC) was utilized to develop a fuzzy control scheme from the TS fuzzy models. The linear matrix inequalities (LMIs) can formulate sufficient
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Houili, Rabiaa, Mohamed Yacine Hammoudi, Mohamed Benbouzid, and Abdennacer Titaouine. "Observer-Based Controller Using Line Integral Lyapunov Fuzzy Function for TS Fuzzy Systems: Application to Induction Motors." Machines 11, no. 3 (2023): 374. http://dx.doi.org/10.3390/machines11030374.

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This paper deals with the stabilization problem of a nonlinear system described by a Takagi–Sugeno fuzzy (TSF) model with unmeasurable premise variables via a robust controller. Applying the sector nonlinearity techniques, the nonlinear system is represented by a decoupled fuzzy model. Then, we design a robust observer-based controller for the obtained fuzzy system by utilizing the differential mean value approach. The observer and controller gains are obtained by the separation principle, in which the problem is solved in the sum of linear matrix inequalities (LMIs). The paper presents two ma
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Youssef, T., M. Chadli, H. R. Karimi, and M. Zelmat. "Chaos Synchronization Based on Unknown Input Proportional Multiple-Integral Fuzzy Observer." Abstract and Applied Analysis 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/670878.

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This paper presents an unknown input Proportional Multiple-Integral Observer (PIO) for synchronization of chaotic systems based on Takagi-Sugeno (TS) fuzzy chaotic models subject to unmeasurable decision variables and unknown input. In a secure communication configuration, this unknown input is regarded as a message encoded in the chaotic system and recovered by the proposed PIO. Both states and outputs of the fuzzy chaotic models are subject to polynomial unknown input withkth derivative zero. Using Lyapunov stability theory, sufficient design conditions for synchronization are proposed. The
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Karama, Karama Khamis, and Cenk Ulu. "Internal Model Control Design for Nonlinear Systems Based on Inverse Dynamic Takagi–Sugeno Fuzzy Model." Processes 12, no. 7 (2024): 1334. http://dx.doi.org/10.3390/pr12071334.

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In recent years, applications of inverse model-based control techniques have experienced significant growth in popularity and have been widely used in engineering applications, mainly in nonlinear control system design problems. In this study, a novel fuzzy internal model control (IMC) structure is presented for single-input-single-output (SISO) nonlinear systems. The proposed structure uses the forward and inverse dynamic Takagi–Sugeno (D-TS) fuzzy models of the nonlinear system within the IMC framework for the first time in literature. The proposed fuzzy IMC is obtained in a two-step procedu
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Ellouze, Ameni, Omar Kahouli, Mohamed Ksantini, Ali Rebhi, Nidhal Hnaien, and François Delmotte. "Continuous Stability TS Fuzzy Systems Novel Frame Controlled by a Discrete Approach and Based on SOS Methodology." Mathematics 9, no. 23 (2021): 3129. http://dx.doi.org/10.3390/math9233129.

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Generally, the continuous and discrete TS fuzzy systems’ control is studied independently. Unlike the discrete systems, stability results for the continuous systems suffer from conservatism because it is still quite difficult to apply non-quadratic Lyapunov functions, something which is much easier for the discrete systems. In this paper and in order to obtain new results for the continuous case, we proposed to connect the continuous with the discrete cases and then check the stability of the continuous TS fuzzy systems by means of the discrete design approach. To this end, a novel frame was p
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Kamal, Elkhatib, Magdy Koutb, Abdul Azim Sobaih, and Sahar Kaddah. "Maximum Power Control of Hybrid Wind-Diesel-Storage System." Advances in Fuzzy Systems 2008 (2008): 1–9. http://dx.doi.org/10.1155/2008/963710.

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Extraction of maximum wind power of variable speed wind turbines in hybrid wind-diesel-storage system (HWDSS) is considered due to economical purposes. The proposed control algorithm utilizes extended fuzzy-linear matrix equalities (FLMEs) systems design of stabilizing fuzzy controllers for nonlinear systems described by Takagi-Sugeno (TS) fuzzy models. The algorithm maximizes the power coefficient for a fixed pitch. Moreover, it reduces the voltage ripple and stabilizes the system over a wide range of wind speed variations. The control scheme is tested for different profiles of wind speed pat
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Akgun, O. Burak, and Elcin Kentel. "Ensemble Precipitation Estimation Using a Fuzzy Rule-Based Model." Engineering Proceedings 5, no. 1 (2021): 48. http://dx.doi.org/10.3390/engproc2021005048.

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In this study, a Takagi-Sugeno (TS) fuzzy rule-based (FRB) model is used for ensembling precipitation time series. The TS FRB model takes precipitation predictions of grid-based regional climate models (RCMs) from the EUR11 domain, available from the CORDEX database, as inputs to generate ensembled precipitation time series for two meteorological stations (MSs) in the Mediterranean region of Turkey. For each MS, RCM data that are available at the closest grid to the corresponding MSs are used. To generate the fuzzy rules of the TS FRB model, the subtractive clustering algorithm (SC) is utilize
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Zahra, Taif, Lafifi M. Mourad, and Abbassi Haj Ahmed. "Robust Fuzzy Sliding Mode Observer for Faults Detection in Solar Power Plant Application." Instrumentation Mesure Métrologie 19, no. 4 (2020): 281–87. http://dx.doi.org/10.18280/i2m.190405.

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This article deals with the designing of fuzzy sliding mode observer in order to fault diagnosis in solar power plant. Purpose technique enable to the modulated using Takagi-Sugeno (TS) fuzzy models. Principal of proposed observer is to uses for estimate the state vector of the system; a Linear Matrix Inequalities (LMIs) is performed to ensure stability conditions. Foremother, it is deriving a diagnosis signal-residual. The residual is generated by the comparison of measured and estimated output. Proposed approach performance is tested in solar power plant model through numerical results.
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Filasová, Anna, and Dušan Krokavec. "H∞Control of Pairwise Distributable Large-Scale TS Fuzzy Systems." Mathematical Problems in Engineering 2013 (2013): 1–18. http://dx.doi.org/10.1155/2013/874085.

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The paper presents new conditions suitable in design of the stabilizing state controller for a class of continuous-time nonlinear systems, which are representable by pairwise distributable Takagi-Sugeno models. Taking into account the affine properties of the TS model structure and applying the pairwise subsystems fuzzy control scheme relating to the parallel distributed output compensators, the extended bounded real lemma form and the sufficient design conditions for pairwise decentralized control are outlined in terms of linear matrix inequalities. The proposed procedure decouples the Lyapun
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Dissertations / Theses on the topic "Takagi Sugeno (TS) fuzzy models"

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Latrech, Chedia. "Commande en réseau des systèmes flous : application à la dynamique de véhicule." Electronic Thesis or Diss., Amiens, 2015. http://www.theses.fr/2015AMIE0005.

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Cette thèse concerne les problèmes de stabilité et de stabilisation des systèmes non linéaires décrits par des modèles flous de type Takagi Sugeno (TS) incluant les contraintes liées à la transmission d'information en réseau, au rejet de perturbations, aux variations paramétriques et à la non fragilité de la commande. L'enjeu consiste à proposer des conditions de stabilité permettant la synthèse des lois de commande centralisées et décentralisées, qui opère à travers un réseau de communication, en utilisant les outils des inégalités linéaires matricielles (LMIs) et l'approche H∞. Nous abordons
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Renners, Ingo. "Data-driven system identification via evolutionary retrieval of Takagi-Sugeno fuzzy models." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974452351.

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Zaidi, Salman [Verfasser]. "System Identification of Stochastic Nonlinear Dynamic Systems using Takagi-Sugeno Fuzzy Models / Salman Zaidi." Kassel : Kassel University Press, 2019. http://d-nb.info/118450279X/34.

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Santim, Máira Peres Alves [UNESP]. "Projeto e implementação com chaveamento de reguladores fuzzy Takagi-Sugeno para um conjunto de pontos de operação." Universidade Estadual Paulista (UNESP), 2012. http://hdl.handle.net/11449/87036.

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Made available in DSpace on 2014-06-11T19:22:31Z (GMT). No. of bitstreams: 0 Previous issue date: 2012-04-27Bitstream added on 2014-06-13T18:49:27Z : No. of bitstreams: 1 santim_mpa_me_ilha.pdf: 717896 bytes, checksum: a230b88ccd1e9c8a423a3c063f05c183 (MD5)<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>Foi proposto nesta dissertação um novo método para o rastreamento de sinais constantes (regulação) em sistemas não lineares através de modelos fuzzy Takagi-Sugeno. O método consiste em projetar um único controlador que torna assintoticamente estável um ponto de equ
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Santim, Máira Peres Alves. "Projeto e implementação com chaveamento de reguladores fuzzy Takagi-Sugeno para um conjunto de pontos de operação /." Ilha Solteira : [s.n.], 2012. http://hdl.handle.net/11449/87036.

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Orientador: Marcelo Carvalho Minhoto Teixeira<br>Coorientador: Rodrigo Cardim<br>Banca: Edvaldo Assunção<br>Banca: Márcio Roberto Covacic<br>Resumo: Foi proposto nesta dissertação um novo método para o rastreamento de sinais constantes (regulação) em sistemas não lineares através de modelos fuzzy Takagi-Sugeno. O método consiste em projetar um único controlador que torna assintoticamente estável um ponto de equilíbrio desejado, que pertence a um determinado intervalo ou região conhecida, sem a necessidade de refazer o projeto dos ganhos do controlador a cada novo ponto de operação escolhido. N
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Nunes, Willian Ricardo Bispo Murbak. "A new dynamic model applied to electrically stimulated lower limbs and switched control design subject to actuator saturation and non-ideal conditions /." Ilha Solteira, 2019. http://hdl.handle.net/11449/183168.

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Orientador: Aparecido Augusto de Carvalho<br>Abstract: Electrical stimulation is a promising technique for motor rehabilitation in cases of spinal cord injury. Stimulator saturation is important in the control system designs applied to electrical stimulation. The negligence of the actuator saturation in the electrical stimulation can lead to unwanted control results, which evidences the muscular fatigue effects. For the first time a switched controller subject to actuator saturation for electrically stimulated lower limb is proposed. The dynamic limb extension model is nonlinear and uncertain.
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Alves, Uiliam Nelson Lendzion Tomaz. "Controle chaveado e chaveado suave de sistemas não lineares incertos via modelos fuzzy T-S." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152448.

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Submitted by UILIAM NELSON LENDZION TOMAZ ALVES null (uiliamlendzionalves@gmail.com) on 2018-01-10T10:33:36Z No. of bitstreams: 1 FINAL_tese_Uiliam_final_09_01_2018.pdf: 2789913 bytes, checksum: 5ec4b9950f95b6ed998d4af0a8f6d330 (MD5)<br>Approved for entry into archive by Cristina Alexandra de Godoy null (cristina@adm.feis.unesp.br) on 2018-01-10T10:44:02Z (GMT) No. of bitstreams: 1 alves_unlt_dr_ilha.pdf: 2789913 bytes, checksum: 5ec4b9950f95b6ed998d4af0a8f6d330 (MD5)<br>Made available in DSpace on 2018-01-10T10:44:02Z (GMT). No. of bitstreams: 1 alves_unlt_dr_ilha.pdf: 2789913 bytes, chec
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Lazarini, Adalberto Zanatta Neder [UNESP]. "Condições de relaxamento para a estabilidade de sistemas não lineares T-S utilizando funções de Lyapunov Fuzzy." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/148705.

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Submitted by Adalberto Zanatta Neder Lazarini null (adalberto.lazarini@yahoo.com) on 2017-02-02T20:05:36Z No. of bitstreams: 1 Dissertação Adalberto - Final.pdf: 1297717 bytes, checksum: 4cea64840d9e8f7f2841989ef7ea349a (MD5)<br>Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-02-06T17:12:01Z (GMT) No. of bitstreams: 1 lazarini_azn_me_ilha.pdf: 1297717 bytes, checksum: 4cea64840d9e8f7f2841989ef7ea349a (MD5)<br>Made available in DSpace on 2017-02-06T17:12:01Z (GMT). No. of bitstreams: 1 lazarini_azn_me_ilha.pdf: 1297717 bytes, checksum:
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Lazarini, Adalberto Zanatta Neder. "Condições de relaxamento para a estabilidade de sistemas não lineares T-S utilizando funções de Lyapunov Fuzzy /." Ilha Solteira, 2017. http://hdl.handle.net/11449/148705.

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Orientador: Marcelo Minhoto Carvalho Teixeira<br>Resumo: Neste trabalho são feitas análises sobre quando as condições de existência dos teoremas apresentados por (GUEDES, 2015), que propõem condições necessárias e suficientes para a estabilidade de sistemas não lineares de tempo contínuo descritos através de modelos fuzzy Takagi-Sugeno (TS), que transformam sistemas não lineares em um conjunto convexo de sistemas lineares a partir de regras se-então, baseadas em Funções de Lyapunov Fuzzy (FLF), são satisfeitas. Primeiramente, são analisados os casos particulares de 3 e 4 modelos locais. Logo a
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Kuzminskas, Hadamez. "Controle robusto chaveado de sistemas lineares e não lineares de ordem fracionária /." Ilha Solteira, 2018. http://hdl.handle.net/11449/154434.

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Orientador: Marcelo Carvalho Minhoto Teixeira<br>Resumo: Neste trabalho apresentam-se condições descritas por desigualdades matriciais lineares, LMIs (do inglês: Linear Matrix Inequalities), para o projeto de controladores robustos para sistemas dinâmicos de ordem α ∈ [0,1). Os controladores propostos utilizam a realimentação da derivada de ordem α ∈ [0,1) do vetor de estado, a chamada realimentação α-derivativa, e também a realimentação do vetor de estado. A literatura clássica apresenta resultados que utilizam o método direto de Lyapunov e a estabilização quadrática no projeto de controlador
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Books on the topic "Takagi Sugeno (TS) fuzzy models"

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Lendek, Zsófia. Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer-Verlag Berlin Heidelberg, 2011.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16776-8.

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Borne, Pierre, and Mohammed Chadli. Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems. Wiley & Sons, Incorporated, John, 2012.

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Borne, Pierre, and Mohammed Chadli. Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems. Wiley & Sons, Incorporated, John, 2012.

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Borne, Pierre, and Mohammed Chadli. Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems. Wiley & Sons, Incorporated, John, 2012.

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Borne, Pierre, and Mohammed Chadli. Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems. Wiley & Sons, Incorporated, John, 2012.

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Borne, Pierre, and Mohammed Chadli. Multiple Models Approach in Automation: Takagi-Sugeno Fuzzy Systems. Wiley & Sons, Incorporated, John, 2013.

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Lendek, Zsófia, Robert Babuška, and T. M. Guerra. Stability Analysis and Nonlinear Observer Design using Takagi-Sugeno Fuzzy Models. Springer, 2012.

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Babuska, Robert, Zsófia Lendek, Bart De Schutter, and T. M. Guerra. Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin / Heidelberg, 2012.

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Book chapters on the topic "Takagi Sugeno (TS) fuzzy models"

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Observers for TS Fuzzy Systems." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_4.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Stability Analysis of TS Fuzzy Systems." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_3.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Cascaded TS Systems and Observers." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_5.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Distributed TS Systems and Observers." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_6.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Adaptive Observers for TS Systems." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_7.

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Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška, and Bart De Schutter. "Takagi-Sugeno Fuzzy Models." In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16776-8_2.

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Park, Min-Kee, Seung-Hwan Ji, Eun-Tai Kim, and Mignon Park. "Identification of Takagi-Sugeno Fuzzy Models via Clustering and Hough Transform." In Fuzzy Model Identification. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60767-7_3.

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Andújar, José Manuel, Antonio Javier Barragán, Basil Mohammed Al-Hadithi, Fernando Matía, and Agustín Jiménez. "Suboptimal Recursive Methodology for Takagi-Sugeno Fuzzy Models Identification." In Atlantis Computational Intelligence Systems. Atlantis Press, 2014. http://dx.doi.org/10.2991/978-94-6239-082-9_2.

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Zuo, Hua, Guangquan Zhang, and Jie Lu. "Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21920-8_67.

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Singh, Nirmal, Renu Vig, and J. K. Sharma. "Identification of MIMO Systems by Input-Output Takagi-Sugeno Fuzzy Models." In Computational Science - ICCS 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45718-6_111.

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Conference papers on the topic "Takagi Sugeno (TS) fuzzy models"

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Khaled, Qusai, Uzay Kaymak, and Laura Genga. "Optimizing Takagi-Sugeno Fuzzy Models For Improving Leak Detection in Water Distribution Networks." In 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability (CIETES). IEEE, 2025. https://doi.org/10.1109/cietes63869.2025.10995166.

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Li, Jian, Qiang Shao, Yuanquan Liu, Yiting Wang, and Yan Liu. "A Novel Smoothing Framework for Interval-zero-order Takagi-Sugeno Fuzzy Neural Networks: Combining Interval Analysis with Zero-order TS Systems." In 2024 International Conference on New Trends in Computational Intelligence (NTCI). IEEE, 2024. https://doi.org/10.1109/ntci64025.2024.10776123.

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Brunner, Johannes, Jens Fortmann, and Horst Schulte. "Model Reference Control for Wind Turbine Systems in Full Load Region based on Takagi-Sugeno Fuzzy Systems." In 2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR). IEEE, 2024. http://dx.doi.org/10.1109/mmar62187.2024.10680768.

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Badie, Khalid, Naoufal El Youssfi, Zakaria Chalh, and Laila Dami. "Fault Detection using a Reduced Order Filter for Active Suspension Systems Represented by Takagi-Sugeno Fuzzy Models." In 2025 7th Global Power, Energy and Communication Conference (GPECOM). IEEE, 2025. https://doi.org/10.1109/gpecom65896.2025.11061999.

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Tarek Aboserre, Lobna, Horst Schulte, and Ayman El-Badawy. "Takagi-Sugeno Observer for Tower Crane System." In 30. Workshop Computational Intelligence. KIT Scientific Publishing, 2020. http://dx.doi.org/10.58895/ksp/1000124139-11.

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In this paper, a new representation of the nonlinear dynamics of the tower crane system in Takagi-Sugeno (TS) fuzzy form is proposed and used for observer design. The TS fuzzy nonlinear observer is utilized to estimate unmeasurable states with guaranteed global asymptotic stability. The stability analysis is formulated as linear matrix inequalities (LMIs). The TS fuzzy model is equivalent to a reduced-order nonlinear model of the tower crane system with a varying cable length. For verification, simulation results of the reduced-order model, TS nonlinear fuzzy model and the estimated observer s
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Ruiz-Mercado, Claudia, Arturo Pacheco-Vega, and Elvia Palacios. "A Takagi-Sugeno Fuzzy Model of a Concentric-Tubes Heat Exchanger." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-69013.

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In the present study we develop a Takagi-Sugeno (TS) fuzzy model of a concentric-tubes heat exchanger. The model is structured on fuzzy logic reasoning with sets of linguistic rules describing the dynamic characteristics of the thermal system. Using a system identification technique based on adaptive neural networks, the fuzzy rules are derived from experimental data of the flow rates and fluid temperatures in the heat exchanger. The accuracy of the resulting model is assessed by predicting the time-dependent response of the outlet hot- and cold-water temperatures under a step-change in the ma
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Kim, Yeesock, Stefan Hurlebaus, Reza Sharifi, and Reza Langari. "Nonlinear Identification of MIMO Smart Structures." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2715.

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This paper proposes a multiple model approach for a nonlinear multi-input, multi-output (MIMO) system identification (SI) of smart structures equipped with magnetorheological (MR) dampers. The proposed model is developed through integration of MIMO autoregressive exogenous (ARX) input models, Takagi-Sugeno (TS) fuzzy model, weighted linear least squares estimators, and data clustering algorithms. Nonlinear behavior of the structure-MR damper systems is represented by a set of linear MIMO ARX input models whose operating regions are blended by TS fuzzy sets. To demonstrate the effectiveness of
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Zhao Zhongyu, Wenfang Xie, and Herry Hong. "Identification of Takagi-Sugeno (TS) fuzzy model with Evolutionary Parallel Gradient Search." In NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society. IEEE, 2008. http://dx.doi.org/10.1109/nafips.2008.4531203.

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Mammar, Sai¨d, Lydie Nouvelie`re, Nicoleta Minoiu-Enache, Se´bastien Glaser, Benoit Lusetti, and Dominique Gruyer. "Vehicle Yaw Motion Control Using Takagi-Sugeno Modeling and Quadratic Boundedness via Dynamic Output Feedback." In ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24809.

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Abstract:
This paper presents the design and the simulation test of a Takagi-Sugeno (TS) fuzzy output feedback for yaw motion control. An integrated steering and differential braking controller based on invariant sets, quadratic boundedness theory and a common Lyapunov function has been developed. The TS fuzzy model is able to handle elegantly the nonlinear behavior the vehicle lateral dynamics. The computation of the control law has been achieved using Linear and Bilinear Matrix Inequalities (LMI-BMI) methods. Simulation test shows the controlled car is able to achieve the ISO3888-2 transient maneuver.
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10

Schulte, Horst. "Comparison between Pole Region Design and Model Reference Control for Multivariable TS Fuzzy Systems." In Forum Bildverarbeitung 2022. KIT Scientific Publishing, 2022. http://dx.doi.org/10.58895/ksp/1000150865-17.

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This paper deals with the comparison of two model-based design methods for multivariable systems in the Takagi-Sugeno form. Model-based means that the multivariable control law is synthesized based on a given mathematical process model and a formal description of the desired control properties. Examined are two methods in which the desired characteristics of the control loop are specified by either a parameterized pole region or a closed-loop reference model, which results in different LMI formulations. In particular, the various LMIbased criteria are discussed, and an illustrative example dem
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