# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 22 of 22

Publication Year: 2009, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2009, Page(s): C2
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• ### Piecewise Fuzzy Anti-Windup Dynamic Output Feedback Control of Nonlinear Processes With Amplitude and Rate Actuator Saturations

Publication Year: 2009, Page(s):253 - 264
Cited by:  Papers (31)
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In this paper, a novel anti-windup dynamic output compensator is developed to deal with the robust H infin output feedback control problem of nonlinear processes with amplitude and rate actuator saturations and external disturbances. Via fuzzy modeling of nonlinear systems, the proposed piecewise fuzzy anti-windup dynamic output feedback controller is designed based on piecewise ... View full abstract»

• ### $H_{infty }$ Fuzzy Control of Nonlinear Systems Under Unreliable Communication Links

Publication Year: 2009, Page(s):265 - 278
Cited by:  Papers (102)
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This paper investigates the problem of H infin fuzzy control of nonlinear systems under unreliable communication links. The nonlinear plant is represented by a Takagi--Sugeno (T-S) fuzzy model, and the control strategy takes the form of parallel distributed compensation. The communication links existing between the plant and controller are assumed to be imperfect (that is, data p... View full abstract»

• ### An Adaptive Consensus Support Model for Group Decision-Making Problems in a Multigranular Fuzzy Linguistic Context

Publication Year: 2009, Page(s):279 - 290
Cited by:  Papers (183)
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Different consensus models for group decision-making (GDM) problems have been proposed in the literature. However, all of them consider the consensus reaching process a rigid or inflexible one because its behavior remains fixed in all rounds of the consensus process. The aim of this paper is to improve the consensus reaching process in GDM problems defined in multigranular linguistic contexts, i.e... View full abstract»

• ### $H_{bm infty}$ Fuzzy Filtering of Nonlinear Systems With Intermittent Measurements

Publication Year: 2009, Page(s):291 - 300
Cited by:  Papers (168)
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This paper is concerned with the problem of H infin fuzzy filtering of nonlinear systems with intermittent measurements. The nonlinear plant is represented by a Takagi-Sugeno (T-S) fuzzy model. The measurements transmission from the plant to the filter is assumed to be imperfect, and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model th... View full abstract»

• ### An Interval Type-2 Fuzzy Rough Set Model for Attribute Reduction

Publication Year: 2009, Page(s):301 - 315
Cited by:  Papers (32)
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Rough set theory is a very useful tool for describing and modeling vagueness in ill-defined environments. Traditional rough set theory is restricted to crisp environments. However, nowadays, it has been extended to fuzzy environments, resulting in the development of the so-called fuzzy rough sets. Type-2 fuzzy sets possess many advantages over type-1 fuzzy sets, but for the general type-2 fuzzy se... View full abstract»

• ### Theory of Extended Fuzzy Discrete-Event Systems for Handling Ranges of Knowledge Uncertainties and Subjectivity

Publication Year: 2009, Page(s):316 - 328
Cited by:  Papers (22)
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In 2001, we originated a theory of fuzzy discrete-event systems (FDESs) that generalized the conventional/crisp discrete-event systems (DESs). Vagueness and imprecision concerning states and event transitions of DESs were represented by membership grades and computed via fuzzy logic. Our application of the FDES theory to computerized human immunodeficiency virus/acquired immune deficiency syndrome... View full abstract»

• ### A Hybrid Approach for Design of Stable Adaptive Fuzzy Controllers Employing Lyapunov Theory and Particle Swarm Optimization

Publication Year: 2009, Page(s):329 - 342
Cited by:  Papers (52)
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This paper proposes a new approach for designing stable adaptive fuzzy controllers, which employs a hybridization of a conventional Lyapunov-theory-based approach and a particle swarm optimization (PSO) based stochastic optimization approach. The objective is to design a self-adaptive fuzzy controller, optimizing both its structures and free parameters, such that the designed controller can guaran... View full abstract»

• ### Fuzzy Control for Nonlinear Uncertain Electrohydraulic Active Suspensions With Input Constraint

Publication Year: 2009, Page(s):343 - 356
Cited by:  Papers (84)
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This paper presents a Takagi-Sugeno (T-S) model-based fuzzy control design approach for electrohydraulic active vehicle suspensions considering nonlinear dynamics of the actuator, sprung mass variation, and constraints on the control input. The T-S fuzzy model is first applied to represent the nonlinear uncertain electrohydraulic suspension. Then, a fuzzy state feedback controller is designed for ... View full abstract»

• ### Rapid Load Following of an SOFC Power System via Stable Fuzzy Predictive Tracking Controller

Publication Year: 2009, Page(s):357 - 371
Cited by:  Papers (23)
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The solid oxide fuel cell (SOFC) is widely accepted for clean and distributed power generation use, but critical operation problems often occur when the stand-alone fuel cell is directly connected to the electricity grid or the dc electric user. In order to address these problems, in this paper, a data-driven fuzzy modeling method is employed to identify the dynamic model of an integrated SOFC/cap... View full abstract»

• ### Diagnosability of Fuzzy Discrete-Event Systems: A Fuzzy Approach

Publication Year: 2009, Page(s):372 - 384
Cited by:  Papers (29)
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In order to more effectively cope with the real-world problems of vagueness, fuzzy discrete-event systems (FDESs) were proposed by Lin and Ying recently. Then we and Cao and Ying investigated the supervisory control of FDESs independently. In this paper, we are concerned with another important issue of FDESs, the failure diagnosis. More specifically: (1) we propose a ldquofuzzy diagnosabilityrdquo... View full abstract»

• ### On Generalized Fuzzy Belief Functions in Infinite Spaces

Publication Year: 2009, Page(s):385 - 397
Cited by:  Papers (25)
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Determined by a fuzzy implication operator, a general type of fuzzy belief structure and its induced dual pair of fuzzy belief and plausibility functions in infinite universes of discourse are first defined. Relationship between the belief-structure-based and the belief-space-based fuzzy Dempster-Shafer models is then established. It is shown that the lower and upper fuzzy probabilities induced by... View full abstract»

• ### Fault Detection for Fuzzy Systems With Intermittent Measurements

Publication Year: 2009, Page(s):398 - 410
Cited by:  Papers (138)
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This paper investigates the problem of fault detection for Takagi-Sugeno (T-S) fuzzy systems with intermittent measurements. The communication links between the plant and the fault detection filter are assumed to be imperfect (i.e., data packet dropouts occur intermittently, which appear typically in a network environment), and a stochastic variable satisfying the Bernoulli random binary distribut... View full abstract»

• ### Robust Output Feedback Stabilization for Uncertain Discrete-Time Fuzzy Markovian Jump Systems With Time-Varying Delays

Publication Year: 2009, Page(s):411 - 420
Cited by:  Papers (44)
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This paper provides a delay-dependent approach to the design of fuzzy dynamic output feedback controllers for uncertain discrete-time fuzzy Markovian jump systems with interval time-varying delays. First, by a fuzzy-basis-dependent and mode-dependent Lyapunov functional, a stochastic stability condition is derived by using the Finsler's lemma. Second, in terms of linear matrix inequalities (LMIs),... View full abstract»

• ### Representation of Uncertain Multichannel Digital Signal Spaces and Study of Pattern Recognition Based on Metrics and Difference Values on Fuzzy $n$ -Cell Number Spaces

Publication Year: 2009, Page(s):421 - 439
Cited by:  Papers (16)
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In this paper, we discuss the problem of characterization for uncertain multichannel digital signal spaces, propose using fuzzy n-cell number space to represent uncertain n-channel digital signal space, and put forward a method of constructing such fuzzy n-cell numbers. We introduce two new metrics and concepts of certain types of difference values on fuzzy n -cell numb... View full abstract»

• ### $H_{bm infty}$ Fuzzy Control for Systems With Repeated Scalar Nonlinearities and Random Packet Losses

Publication Year: 2009, Page(s):440 - 450
Cited by:  Papers (73)
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This paper is concerned with the H infin fuzzy control problem for a class of systems with repeated scalar nonlinearities and random packet losses. A modified Takagi-Sugeno (T-S) fuzzy model is proposed in which the consequent parts are composed of a set of discrete-time state equations containing a repeated scalar nonlinearity. Such a model can describe some well-known nonlinear... View full abstract»

• ### The Model of Fuzzy Variable Precision Rough Sets

Publication Year: 2009, Page(s):451 - 467
Cited by:  Papers (86)
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The fuzzy rough set (FRS) model has been introduced to handle databases with real values. However, FRS was sensitive to misclassification and perturbation (here misclassification means error or missing values in classification, and perturbation means small changes of numerical data). The variable precision rough sets (VPRSs) model was introduced to handle databases with misclassification. However,... View full abstract»

• ### Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System

Publication Year: 2009, Page(s):468 - 476
Cited by:  Papers (9)
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When applying gradient descent learning methods to hierarchical fuzzy systems, there is great difficulty in handling the intermediate variables introduced by the hierarchical structures, as the intermediate variables may go outside their definition domain that makes gradient descent learning invalid. To overcome this difficulty, this paper proposes a learning scheme that integrates a normalization... View full abstract»

• ### Observer-Based Relaxed ${{cal H}}_{infty }$ Control for Fuzzy Systems Using a Multiple Lyapunov Function

Publication Year: 2009, Page(s):477 - 484
Cited by:  Papers (8)
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This short paper proposes a method of designing a fuzzy observer-based H infin controller for discrete-time Takagi-Sugeno (T-S) fuzzy systems. To enhance the applicability of the output-feedback controller and improve its performance, this short paper first builds a set of fuzzy control rules with premise variables different from those of the T-S fuzzy system, and sets the overal... View full abstract»

• ### IEEE Computational Intelligence Society Information

Publication Year: 2009, Page(s): C3
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• ### IEEE Transactions on Fuzzy Systems Information for authors

Publication Year: 2009, Page(s): C4
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## Aims & Scope

The IEEE Transactions on Fuzzy Systems (TFS) is published bimonthly. TFS will consider papers that deal with the theory, design or an application of fuzzy systems ranging from hardware to software.

Full Aims & Scope

## Meet Our Editors

Editor-in-Chief
Jonathan Garibaldi
University of Nottingham
Nottingham NG8 1BB, U.K.
jon.garibaldi@nottingham.ac.uk
Phone: +44 115 95 14216
Fax: +44 115 95 14799