Bibliografie tematiche / Takagi Sugeno (TS) fuzzy models

Letteratura scientifica selezionata sul tema "Takagi Sugeno (TS) fuzzy models"

Autore: Grafiati

Pubblicato: 1 giugno 2024

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Articoli di riviste sul tema "Takagi Sugeno (TS) fuzzy models":

Alshammari, Badr, Rim Ben Salah, Omar Kahouli e Lioua Kolsi. "Design of Fuzzy TS-PDC Controller for Electrical Power System via Rules Reduction Approach". Symmetry 12, n. 12 (12 dicembre 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 proposed a methodology to reduce the number of rules and to guarantee the global stability of the power system. The new model included only two rules. All the other nonlinearities were considered as uncertainties. In addition, a Parallel Distributed Compensation controller is designed using the Linear Matrix Inequalities constraints in order to guarantee system stability. Finally, this approach is applied on a Single Machine Infinite Bus affected by fault perturbation. To show the novelty of Takagi Sugeno’s method, we compared our approach to the Taylor linearization method. The numerical simulations prove the feasibility and performance of the proposed method.

Chiu e Peng. "Design of Takagi-Sugeno Fuzzy Control Scheme for Real World System Control". Sustainability 11, n. 14 (15 luglio 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 conditions. Moreover, in this study, the motors of the BR were mounted on two orthogonal axes. Then, the dual TS fuzzy controller was designed to independently operate without coupling. Finally, the efficiency of the proposed control scheme is illustrated by the experimental and simulation results that are presented in this study.

Houili, Rabiaa, Mohamed Yacine Hammoudi, Mohamed Benbouzid e Abdennacer Titaouine. "Observer-Based Controller Using Line Integral Lyapunov Fuzzy Function for TS Fuzzy Systems: Application to Induction Motors". Machines 11, n. 3 (10 marzo 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 main contributions: A state feedback controller is designed using differential mean value (DMVT) which ensures robust stabilization of the nonlinear system. Additionally, the Luenberger observer is extended to the Takagi–Sugeno fuzzy models. The second contribution is to reduce conservatism in the obtained conditions, a non-quadratic Lyapunov function (known as the line integral Lyapunov fuzzy candidate (LILF)) is employed. Two examples are provided to further illustrate the efficiency and robustness of the proposed approach; specifically, the Takagi–Sugeno fuzzy descriptor of an induction motor is derived and a robust observer-based controller applied to the original nonlinear system.

Youssef, T., M. Chadli, H. R. Karimi e 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 PIO gains matrices are obtained by resolving linear matrix inequalities (LMIs) constraints. Simulation results show through two TS fuzzy chaotic models the validity of the proposed method.

Ellouze, Ameni, Omar Kahouli, Mohamed Ksantini, Ali Rebhi, Nidhal Hnaien e François Delmotte. "Continuous Stability TS Fuzzy Systems Novel Frame Controlled by a Discrete Approach and Based on SOS Methodology". Mathematics 9, n. 23 (4 dicembre 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 proposed using the sum of square approach (SOS) to check the stability of the continuous Takagi Sugeno (TS) fuzzy models based on the discrete controller. Indeed, the control of the continuous TS fuzzy models is ensured by the discrete gains obtained from the Euler discrete form and based on the non-quadratic Lyapunov function. The simulation examples applied for various models, by modifying the order of the Euler discrete fuzzy system, are presented to show the effectiveness of the proposed methodology.

Kamal, Elkhatib, Magdy Koutb, Abdul Azim Sobaih e 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 pattern and provides satisfactory results.

Akgun, O. Burak, e Elcin Kentel. "Ensemble Precipitation Estimation Using a Fuzzy Rule-Based Model". Engineering Proceedings 5, n. 1 (9 luglio 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 utilized. Together with the TS FRB, the simple ensemble mean approach is also applied, and the performances of these two model results and individual RCM predictions are compared. The results show that ensembled models outperform individual RCMs, for monthly precipitation, for both MSs. On the other hand, although ensemble models capture the general trend in the observations, they underestimate the peak precipitation events.

Filasová, Anna, e 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 Lyapunov matrix and the system parameter matrices in the LMIs and, using free tuning parameter, provides the way to obtain global stability of such large-scale TS systems and optimizes subsystems interactionH∞norm bounds.

Zahra, Taif, Lafifi M. Mourad e Abbassi Haj Ahmed. "Robust Fuzzy Sliding Mode Observer for Faults Detection in Solar Power Plant Application". Instrumentation Mesure Métrologie 19, n. 4 (30 settembre 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.

Dec, Grzegorz, Grzegorz Drałus, Damian Mazur e Bogdan Kwiatkowski. "Forecasting Models of Daily Energy Generation by PV Panels Using Fuzzy Logic". Energies 14, n. 6 (17 marzo 2021): 1676. http://dx.doi.org/10.3390/en14061676.

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This paper contains studies of daily energy production forecasting methods for photovoltaic solar panels (PV panel) by using mathematical methods and fuzzy logic models. Mathematical models are based on analytic equations that bind PV panel power with temperature and solar radiation. In models based on fuzzy logic, we use Adaptive-network-based Fuzzy Inference Systems (ANFIS) and the zero-order Takagi-Sugeno model (TS) with specially selected linear and non-linear membership functions. The use of mentioned membership functions causes that the TS system is equivalent to a polynomial and its properties can be compared to other analytical models of PV panels found in the literature. The developed models are based on data from a real system. The accuracy of developed prognostic models is compared, and a prototype software implementing the best-performing models is presented. The software is written for a generic programmable logic controller (PLC) compliant to the IEC 61131-3 standard.

Più fonti

Tesi sul tema "Takagi Sugeno (TS) fuzzy models":

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 dans un premier temps, les systèmes commandés en réseau (SCRs) non linéaires représentés par des modèles flous de type TS, puis nous étendons notre étude aux systèmes de grande dimension pour synthétiser des lois de commande décentralisées. Au final, présentons la validation en simulation sur un modèle du véhicule pour le contrôle global de châssis (CGC) garantissant la sécurité et l'agrément de conduite
This thesis studies the stability and stabilization problems of nonlinear systems described by Takagi Sugeno (TS) fuzzy models including the constraints related to the networked transmission, to the disturbance rejection, to the parametric variations and to the non fragility of controller.The challenge is to provide asymptotic stability sufficient conditions developed for the design of centralized and decentralized control laws, that operates through a communications network, using linear matrix inequalities (LMIs) and H∞ approach. We address initially, nonlinear networked controlled systems (NCSs) described by TS type fuzzy models, and we extend our study to large scale systems for the design of decentralized control laws. Finally, we present simulation validation on the vehicle model for the Global Chassis Control (GCC) ensuring the safety and driveability

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)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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. Neste trabalho também é proposta uma nova metodologia de controle com comutação para algumas classes de sistemas fuzzy Takagi-Sugeno. Tal metodologia projeta os ganhos do controlador baseado na Compensação Distribuída Paralela, porém é utilizado um regulador com comutação que utiliza o ganho que retorna o menor valor da derivada da função de Lyapunov. Esse procedimento evita a necessidade da obtenção das funções de pertinência normalizadas, o que pode facilitar a implementação dos controladores, pois as funções de pertinência normalizadas são, em geral, funções não lineares. Os projetos são baseados em desigualdades matriciais lineares (em inglês Linear Matrix Inequalities (LMIs)) e tem a estabilidade assintótica garantida por funções de Lyapunov. Para verificar a validade dos métodos propostos são apresentados exemplos numéricos e simulações, abordando o sistema bola-viga e levitador magnético, usando o software MATLAB
This dissertation proposes a new method based on LMIs for tracking constant signals (regulation) considering nonlinear systems described by Takagi-Sugeno fuzzy models. The method consists in designing a single controller that stabilizes the systemat an operation point belonging to a certain range or region, without the need of remaking the design of the controller gains at each new chosen operation point. This paper also proposes a new methodology to control switching for some classes of nonlinear systems described by Takagi-Sugeno fuzzy models. This methodology projects the controller gains based on the Parallel Distributed Compensation, however is used a switching regulator that uses the gain that returns the minimum value of the derivative of the Lyapunov function. This procedure can be useful in the implementations of Takagi-Sugeno fuzzy controllers, because it does not use the normalized membership function, that usually are nonlinear functions. The designs are based on Linear Matrix Inequalities (LMIs) and asymptotic stability is ensured by Lyapunov functions. To verify the validity of the proposed methods are presented numeric examples and simulations, considering the ball-beam and magnetic levitator systems, using the software MATLAB

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
Coorientador: Rodrigo Cardim
Banca: Edvaldo Assunção
Banca: Márcio Roberto Covacic
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. Neste trabalho também é proposta uma nova metodologia de controle com comutação para algumas classes de sistemas fuzzy Takagi-Sugeno. Tal metodologia projeta os ganhos do controlador baseado na Compensação Distribuída Paralela, porém é utilizado um regulador com comutação que utiliza o ganho que retorna o menor valor da derivada da função de Lyapunov. Esse procedimento evita a necessidade da obtenção das funções de pertinência normalizadas, o que pode facilitar a implementação dos controladores, pois as funções de pertinência normalizadas são, em geral, funções não lineares. Os projetos são baseados em desigualdades matriciais lineares (em inglês Linear Matrix Inequalities (LMIs)) e tem a estabilidade assintótica garantida por funções de Lyapunov. Para verificar a validade dos métodos propostos são apresentados exemplos numéricos e simulações, abordando o sistema bola-viga e levitador magnético, usando o software MATLAB
Abstract: This dissertation proposes a new method based on LMIs for tracking constant signals (regulation) considering nonlinear systems described by Takagi-Sugeno fuzzy models. The method consists in designing a single controller that stabilizes the systemat an operation point belonging to a certain range or region, without the need of remaking the design of the controller gains at each new chosen operation point. This paper also proposes a new methodology to control switching for some classes of nonlinear systems described by Takagi-Sugeno fuzzy models. This methodology projects the controller gains based on the Parallel Distributed Compensation, however is used a switching regulator that uses the gain that returns the minimum value of the derivative of the Lyapunov function. This procedure can be useful in the implementations of Takagi-Sugeno fuzzy controllers, because it does not use the normalized membership function, that usually are nonlinear functions. The designs are based on Linear Matrix Inequalities (LMIs) and asymptotic stability is ensured by Lyapunov functions. To verify the validity of the proposed methods are presented numeric examples and simulations, considering the ball-beam and magnetic levitator systems, using the software MATLAB
Mestre

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
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. The uncertain nonlinear system described by Takagi-Sugeno fuzzy models operating within an operating region in the state space is considered in this study. In addition, fault in the actuator, muscle activation uncertainty, and muscular non-idealities, such as fatigue, spasms, and tremor were considered at three three severity levels. The switched controller is compared to parallel distributed compensation technique. Simulations denote better results of the switched controller by dealing with parametric uncertainties. On the other hand, a challenge for FES control systems is to monitor torque in muscle contractions. In isotonic contraction applications, measuring torque is difficult. The novelty in this study is the proposal of a new nonlinear model, whose state variables are angular position, angular velocity and angular acceleration. In this new model the torque variable is replaced by the angular acceleration. Experimental tests list the ... (Complete abstract click electronic access below)
Resumo: A estimulação elétrica é uma técnica promissora para reabilitação motora em casos de lesão medular. A saturação do estimulador também é um requisito importante no projeto de sistemas de controle aplicados à estimulação elétrica. A negligência da saturação do atuador pode conduzir a resultados de controle indesejados, que evidencia os efeitos de fadiga muscular. Pela primeira vez é proposto um controlador chaveado sujeito à saturação para membro inferior estimulado eletricamente. O modelo dinâmico de extensão do membro inferior é não linear e incerto. O sistema descrito por modelos fuzzy Takagi-Sugeno e operando dentro de uma região de operação no espaço de estados é considerado neste trabalho. Além disto, falha do atuador, incerteza de ativação muscular, e não idealidades musculares, tais como fadiga, espasmos e tremor foram considerados em três níveis de severidade. O controle chaveado é comparado com a compensação distribuída paralela. Simulações denotam melhores resultados do controlador chaveado lidando com incertezas paramétricas da planta. Por outro lado, um desafio dos sistemas de controle para estimulação elétrica funcional é monitorar a dinâmica do torque em contrações musculares. Em aplicações de contração isotônica, medir o torque é algo difícil. A novidade neste estudo é a proposta de um novo modelo não linear, cujas variáveis de estado são posição angular, velocidade angular e aceleração angular. Neste novo modelo a variável torque é substituída adequadamente pel... (Resumo completo, clicar acesso eletrônico abaixo)
Doutor

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)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O controle chaveado pode ser eficientemente utilizado no controle de sistemas fuzzy TakagiSugeno (T-S) incertos, que possuam funções de pertinência incertas e modelos locais conhecidos. Como estes sistemas fuzzy podem representar exatamente uma classe de sistemas não lineares incertos em uma região do espaço de estados, é interessante utilizá-los para descrever sistemas não lineares, usando no projeto do controlador o modelo fuzzy que descreve exatamente o sistema não linear. Porém, como a representação através de combinação convexa obtida é válida apenas em uma região do espaço de estados, garantias de que o estado do sistema permaneça nessa região devem ser obtidas. Neste trabalho são propostas condições que garantem a estabilização local, com a especificação da taxa decaimento, de uma classe de sistemas não lineares contínuos no tempo, incertos e com saturação no atuador, utilizando o controle chaveado. Os projetos dos controladores são realizados com base no modelo fuzzy T-S que representa exatamente o sistema não linear e os procedimentos de projeto fornecem uma região na qual as condições iniciais devam estar, tal que, o sistema não linear seja exatamente descrito pelo modelo fuzzy T-S incerto durante toda a trajetória de estado do sistema e ainda que esta trajetória permaneça dentro de uma região de operação previamente especificada. Em geral, o controle chaveado não possui restrição na frequência de chaveamento dos ganhos, o que pode levar ao chattering, que se manifesta pelo chaveamento em frequência infinitamente rápida dos ganhos de realimentação. Visando a eliminação do chattering no controle chaveado, propõe-se uma nova técnica de suavização do controle chaveado, o controle chaveado suave. Esta nova lei de controle pode ser utilizada nas mesmas condições do controle chaveado e é baseada no conceito do mínimo suave, definido neste trabalho. Além disso, são propostos procedimentos de projeto que consideram distúrbios para ambas as leis de controle chaveada e chaveada suave. Ademais, neste trabalho também se apresenta uma implementação da lei de controle chaveada em um sistema Ball Balancer fabricado pela Quanser.
The switched control can be efficiently used for controlling uncertain Takagi-Sugeno (T-S) fuzzy systems, which have uncertain membership functions and known local models. Because these fuzzy systems can exactly represent a class of uncertain nonlinear systems in a given operation region in the state space, it is interesting to use them to describe nonlinear systems, performing the controller design based on a T-S fuzzy model that exactly describes the nonlinear system. However, the perfect representation of the uncertain nonlinear system by the T-S fuzzy model as a convex combination is only valid in the operation region. Therefore, it is necessary to assure conditions such that the state of the system remains in that region. This work proposes conditions to ensure the local stabilization, with decay rate, of a class of uncertain continuoustime nonlinear systems with saturation on the actuator, using a switched control. The designs of the controllers are performed based on the T-S fuzzy model which exactly describes the nonlinear system and the design procedures provide a region in which the initial conditions must be such that the nonlinear system is exactly described by the uncertain T-S fuzzy model along the whole state trajectory of the system and this trajectory remains in a specified operation region. Usually, the switched control has no bound on the frequency of the feedback gains switching, and this can lead to chattering, which is manifested by infinitely fast frequency of the feedback gains switching. In order to avoid the chattering in the switched control, this work proposes a new technique to smooth the switched control, the smooth switched control. This new control law can be used under the same conditions as the switched control and it is based on the concept of smooth minimum, which is defined in this work. In addition, design procedures considering disturbances for both switched and smooth switched control laws are proposed. Furthermore, in this work it is also presented an implementation of the proposed switched control law in a Ball Balancer system manufactured by Quanser.

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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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 após, são tratados casos genéricos, com quantidades de regras tanto pares quanto ímpares, identificando quando as condições impostas pelos teoremas citados são satisfeitas. Para os casos nos quais as condições não são satisfeitas, é proposto também um algoritmo para obtenção do “pior caso” possível, varrendo todas as possibilidades que o sistema apresenta. Este algoritmo oferece condições necessárias e suficientes para o problema e também pode ser utilizado quando as condições exigidas pelos dois teoremas apresentados em (GUEDES, 2015) são satisfeitas. Por fim, são analisadas as contribuições do uso do algoritmo, onde são considerados parâmetros como número de LMIs, número de variáveis matriciais simétricas nxn simétricas utilizadas na resolução das LMIs e tempo computacionalmente necessário.
In this work,the required conditions for the theorems presented by(GUEDES,2015), which propose necessary and sufficient conditions for the stability of continuous-time nonlinear systems described by Takagi-Sugeno (TS) fuzzy models based on Lyapunov fuzzy functions (LFF), are analysed. First of all, the cases with 3 and 4 local models are considered. After that, generic cases are studied, with odd or even number os rules, identifying when the conditions imposed by these theorem shold. If the conditions are not satisfied, an algorithm is proposed as way of finding the “worst case scenario” for the system, considering all possible options. This algorithm offers necessary and sufficient conditions for solving this problem and also can be used when the conditions for the application of the theorems presented in(GUEDES,2015) hold. Finally,the algorithm’s contributions are analyzed, considering parameters such as number of LMIs,number of symmetric matricial variables used on solving the LMIs and computational time.

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
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 após, são tratados casos genéricos, com quantidades de regras tanto pares quanto ímpares, identificando quando as condições impostas pelos teoremas citados são satisfeitas. Para os casos nos quais as condições não são satisfeitas, é proposto também um algoritmo para obtenção do “pior caso” possível, varrendo todas as possibilidades que o sistema apresenta. Este algoritmo oferece condições necessárias e suficientes para o problema e também pode ser utilizado quando as condições exigidas pelos dois teoremas apresentados em (GUEDES, 2015) são satisfeitas. Por fim, são analisadas as contribuições do uso do algoritmo, onde são considerados parâmetros como número de LMIs, número de variáveis matriciais simétricas nxn simétricas utilizadas na resolução das LMIs e tempo computacionalmente necessário.
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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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Abstract (sommario):

Orientador: Marcelo Carvalho Minhoto Teixeira
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 controladores para sistemas de ordem inteira. Os teoremas propostos neste trabalho para sistemas fracionários são condições suficientes análogas a estes resultados. Esta analogia é possível através da extensão fracionária, recentemente disponível na literatura, do método direto de Lyapunov e de um limitante superior para a derivada de ordem α ∈ [0,1) da função de Lyapunov do tipo quadrática, Dα V(x(t)). Nesse sentido, as LMIs propostas para estabilização quadrática são análogas aos casos clássicos, pois não dependem da ordem α ∈ [0,1) do sistema. Em particular, o foco deste trabalho recai no controle do tipo chaveado, que trata da minimização do limitante superior de Dα V(x(t)). O controle chaveado dispensa o conhecimento das funções de pertinência quando da utilização de modelos fuzzy Takagi-Sugeno, permitindo trabalhar com plantas lineares e não lineares, ambas incluindo parâmetros incertos. Dessa forma, a estabilização quadrática possibilitou a obtenç... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: This work proposes linear matrix inequalities (LMIs) conditions for the design of robust controllers for dynamic systems of order α ∈ [0,1). The proposed controllers use the feedback of the state vector derivative of of order α ∈ [0,1), the so-called α -derivative feedback, and also the feedback of the state vector. The classical literature presents results that use the Lyapunov direct method and the quadratic stabilization in the design of the controllers for integer order systems. The theorems proposed in this work for fractional systems are sufficient conditions analogous to these results. This analogy is possible through the fractional extension, recently available in the literature, of the direct Lyapunov method and an upper bound for the a α ∈ [0,1) order derivative of the quadratic Lyapunov function, Dα V(x(t)). In this sense, the proposed LMIs for quadratic stabilization are analogous to the classical ones, since they do not depend on the order α ∈ [0,1) of the system. In particular, the focus of this work lies in the switched control, which deals with the minimization of the upper bound of Dα V(x(t)). The switched control dispenses the knowledge of the membership functions when using the Takagi-Sugeno fuzzy models, allowing to work with linear and nonlinear plants, both of them with uncertain parameters. Therefore, the quadratic stabilization allowed to obtain new results for the robust control problem of α ∈ [0,1) order systems, considering the main analogous resu... (Complete abstract click electronic access below)
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Libri sul tema "Takagi Sugeno (TS) fuzzy models":

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

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

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

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

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

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

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

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

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Capitoli di libri sul tema "Takagi Sugeno (TS) fuzzy models":

Lendek, Zsófia, Thierry Marie Guerra, Robert Babuška e Bart De Schutter. "Observers for TS Fuzzy Systems". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 49–71. Berlin, Heidelberg: 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 e Bart De Schutter. "Stability Analysis of TS Fuzzy Systems". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 25–48. Berlin, Heidelberg: 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 e Bart De Schutter. "Cascaded TS Systems and Observers". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 73–102. Berlin, Heidelberg: 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 e Bart De Schutter. "Distributed TS Systems and Observers". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 103–47. Berlin, Heidelberg: 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 e Bart De Schutter. "Adaptive Observers for TS Systems". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 149–82. Berlin, Heidelberg: 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 e Bart De Schutter. "Takagi-Sugeno Fuzzy Models". In Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models, 5–24. Berlin, Heidelberg: 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 e Mignon Park. "Identification of Takagi-Sugeno Fuzzy Models via Clustering and Hough Transform". In Fuzzy Model Identification, 91–119. Berlin, Heidelberg: 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 e Agustín Jiménez. "Suboptimal Recursive Methodology for Takagi-Sugeno Fuzzy Models Identification". In Atlantis Computational Intelligence Systems, 25–47. Paris: Atlantis Press, 2014. http://dx.doi.org/10.2991/978-94-6239-082-9_2.

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Zuo, Hua, Guangquan Zhang e Jie Lu. "Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models". In Advances in Intelligent Systems and Computing, 752–63. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21920-8_67.

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Singh, Nirmal, Renu Vig e J. K. Sharma. "Identification of MIMO Systems by Input-Output Takagi-Sugeno Fuzzy Models". In Computational Science - ICCS 2001, 1050–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45718-6_111.

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Atti di convegni sul tema "Takagi Sugeno (TS) fuzzy models":

Ruiz-Mercado, Claudia, Arturo Pacheco-Vega e 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 mass flow rate of the cold fluid. The results indicate that the TS fuzzy model is able to estimate the behavior of the physical system with very little predicting errors. Upon the basis of this empirical model, in the near future we will report on a control strategy for the regulation and tracking of the outlet temperatures in the heat exchanger.

Zhao Zhongyu, Wenfang Xie e 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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Kim, Yeesock, Stefan Hurlebaus, Reza Sharifi e 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 the proposed MIMO ARX-TS fuzzy model, a 20-story high-rise building employing MR dampers is investigated. It is demonstrated that the proposed approach is effective in modeling nonlinear behavior of the structure-MR damper system subjected to a variety of disturbances. Comparison with high fidelity data proves the viability of the proposed approach in control engineering setting.

Mammar, Sai¨d, Lydie Nouvelie`re, Nicoleta Minoiu-Enache, Se´bastien Glaser, Benoit Lusetti e 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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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. Some design parameters can be adjusted to handle the tradeoff between safety constraints and comfort specifications.

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 demonstrates their applicability.

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Arjanaki, Mohammadreza Ganji, e Mahdi Pourgholi. "Takagi-Sugeno (TS) Fuzzy model-basedobserver design for glucose-insulin system in diabetes type 1: An LMI approach". In 2020 28th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2020. http://dx.doi.org/10.1109/icee50131.2020.9260768.

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Jacome, Alfredo Diaz, e Marco Sanjuan Mejia. "A General Methodology for Optimized Takagi-Sugeno Fuzzy Modeling of Nonlinear Continuous Fermenter for Biofuels (Ethanol) Production Using Golden Section Search Approach". In ASME 2014 8th International Conference on Energy Sustainability collocated with the ASME 2014 12th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/es2014-6720.

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The overcoming inclusion of biotechnology in biofuels industry involves several challenges among which are found the variety of operational cycles, the highly nonlinear behavior of the processes and the need for measurement of intermediate variables. In order to reproduce biological conversion of biodiesel production discharge products into other biofuels, experimental data from ethanol production from glycerol/glucose mixture was analyzed implementing fuzzy techniques to investigate and model the nonlinear behavior of the process. This paper presents a general methodology for TS fuzzy modeling based on a novel approach on data structured regression which consists on combination of fuzzy c-regression model and clustering using a golden search algorithm approach to adjust the proper number of membership functions to fit the model and minimize the statistic difference among the experimental data, simulated data and the Fuzzy Inference System results.

Wei, Ruihua, e Lihong Xu. "Identification Based on TS-GFNN (Takagi-Sugeno Generalized Fuzzy Neural Network)". In 2006 Chinese Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/chicc.2006.280594.

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Sheikholeslam, Farid, e Mohammad Shekaramiz. "Stability criterion for Takagi-Sugeno models". In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019601.

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