# IEEE Transactions on Fuzzy Systems

## Filter Results

Displaying Results 1 - 23 of 23

Publication Year: 2014, Page(s): C1
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• ### IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2014, Page(s): C2
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• ### Fuzzy Approximation-Based Adaptive Control of Nonlinear Delayed Systems With Unknown Dead Zone

Publication Year: 2014, Page(s):237 - 248
Cited by:  Papers (25)
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This paper focuses on the problem of adaptive fuzzy control for a class of nonlinear systems without a strict-feedback form. A new adaptive fuzzy control scheme is proposed for nonlinear delayed systems with unknown dead-zone nonlinearity. Control design is achieved by introducing a variable separation approach and employing the unique structural property of fuzzy logic systems. The proposed adapt... View full abstract»

• ### Output Feedback Predictive Control With One Free Control Move for Nonlinear Systems Represented by a Takagi–Sugeno Model

Publication Year: 2014, Page(s):249 - 263
Cited by:  Papers (14)
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This paper addresses the output feedback predictive control for a Takagi-Sugeno (T-S) fuzzy system. Like many existing results, the controller optimizes an infinite-horizon objective function respecting input constraint. The infinite-horizon control moves are parameterized as a free control move followed by an output feedback based on the prespecified state estimator. While the use of a free contr... View full abstract»

• ### Individual Decision Making Can Drive Epidemics: A Fuzzy Cognitive Map Study

Publication Year: 2014, Page(s):264 - 273
Cited by:  Papers (6)
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Existing studies on the propagation of infectious diseases have not sufficiently considered the uncertainties that are related to individual behavior and its influence on individual decision making to prevent infections, even though it is well known that changes in behavior can lead to variations in the macrodynamics of the spread of infectious diseases. These influencing factors can be categorize... View full abstract»

• ### Adaptive Fault Diagnosis for T–S Fuzzy Systems With Sensor Faults and System Performance Analysis

Publication Year: 2014, Page(s):274 - 285
Cited by:  Papers (19)
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It is well known that there always exist some level of time delay between fault occurrence and fault accommodation, which is called as the time delay due to fault diagnosis (TDDTFD) in this paper. TDDTFD may cause severe loss of system performance and stability. This paper investigates the TDDTFD's adverse effect on the system performance. First, a fault diagnosis (FD) model is constructed to diag... View full abstract»

• ### Adaptive Fuzzy Hierarchical Sliding-Mode Control for the Trajectory Tracking of Uncertain Underactuated Nonlinear Dynamic Systems

Publication Year: 2014, Page(s):286 - 299
Cited by:  Papers (19)
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The trajectory tracking of uncertain underactuated nonlinear dynamic systems is tackled by an adaptive fuzzy hierarchical sliding-mode control (AFHSMC). First, one of the subsystems is assigned as the first layer sliding surface. Next, a second layer sliding surface from the first layer sliding surface and the sliding surface of another subsystem is constructed. In this paper, the nth layer is sup... View full abstract»

• ### Atanassov's Intuitionistic Fuzzy Programming Method for Heterogeneous Multiattribute Group Decision Making With Atanassov's Intuitionistic Fuzzy Truth Degrees

Publication Year: 2014, Page(s):300 - 312
Cited by:  Papers (30)
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The aim of this paper is to develop a new Atanassov's intuitionistic fuzzy (A-IF) programming method to solve heterogeneous multiattribute group decision-making problems with A-IF truth degrees in which there are several types of attribute values such as A-IF sets (A-IFSs), trapezoidal fuzzy numbers, intervals, and real numbers. In this method, preference relations in comparisons of alternatives w... View full abstract»

• ### Novel Stability Criteria for T--S Fuzzy Systems

Publication Year: 2014, Page(s):313 - 323
Cited by:  Papers (58)
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In this paper, novel stability conditions for Takagi-Sugeno (T-S) fuzzy systems are presented. The so-called nonquadratic membership-dependent Lyapunov function is first proposed, which is formulated in a higher order form of both the system states and the normalized membership functions than existing techniques in the literature. Then, new membership-dependent stability conditions are developed b... View full abstract»

• ### A Fuzzy Model With Online Incremental SVM and Margin-Selective Gradient Descent Learning for Classification Problems

Publication Year: 2014, Page(s):324 - 337
Cited by:  Papers (7)
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This paper proposes a new incremental learning approach to endow a Takagi-Sugeno-type fuzzy classification model with high generalization ability. The proposed fuzzy model is learned through incremental support vector machine (SVM) and margin-selected gradient descent learning and is called FM3. In this learning approach, training samples are fed incrementally one-by-one instead of all ... View full abstract»

• ### Adaptive Fuzzy Observer-Based Active Fault-Tolerant Dynamic Surface Control for a Class of Nonlinear Systems With Actuator Faults

Publication Year: 2014, Page(s):338 - 349
Cited by:  Papers (39)
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The problem of fault-tolerant dynamic surface control (DSC) for a class of uncertain nonlinear systems with actuator faults is discussed and an active fault-tolerant control (FTC) scheme is proposed. Using the DSC technique, a novel fault diagnostic algorithm is proposed, which removes the classical assumption that the time derivative of the output error should be known. Further, an accommodation ... View full abstract»

• ### Universal Fuzzy Integral Sliding-Mode Controllers Based on T–S Fuzzy Models

Publication Year: 2014, Page(s):350 - 362
Cited by:  Papers (14)
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This paper addresses the universal fuzzy integral sliding-mode controllers' problem for continuous-time multi-input multi-output nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. By using the approximation capability of T-S fuzzy models, the nonlinear systems are expressed by uncertain T-S fuzzy models with norm-bounded approximation errors. A novel fuzzy dynamic integral sliding-mode c... View full abstract»

• ### What and When Can We Gain From the Kernel Versions of C-Means Algorithm?

Publication Year: 2014, Page(s):363 - 379
Cited by:  Papers (3)
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In the recent past, different kernelized versions of c-means (hard and fuzzy) clustering algorithms have been proposed. Here, we focus on kernel clustering of only object data, X = { x1, ...,xn } ⊂ Rp. We first raise a basic question: Should we really cluster any given object data in the kernel space? The answer is NO! Here are our line of arguments: 1) The objective o... View full abstract»

• ### Dissipativity Analysis and Synthesis for Discrete-Time T–S Fuzzy Stochastic SystemsWith Time-Varying Delay

Publication Year: 2014, Page(s):380 - 394
Cited by:  Papers (80)
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This paper is concerned with the problems of dissipativity analysis and synthesis for discrete-time Takagi-Sugeno fuzzy systems with stochastic perturbation and time-varying delay. First, a novel model transformation method is introduced to pull the time-varying delay uncertainty out of the original system. Consequently, the transformed model is composed of a linear time-invariant system and a nor... View full abstract»

• ### Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions

Publication Year: 2014, Page(s):395 - 405
Cited by:  Papers (11)
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This paper addresses the problem of parameter estimation and state prediction in hidden Markov models (HMMs) based on observed outputs and partial knowledge of hidden states expressed in the belief function framework. The usual HMM model is recovered when the belief functions are vacuous. Parameters are learned using the evidential expectation-maximization algorithm, a recently introduced variant ... View full abstract»

• ### Decentralized Fuzzy Observer-Based Output-Feedback Control for Nonlinear Large-Scale Systems: An LMI Approach

Publication Year: 2014, Page(s):406 - 419
Cited by:  Papers (25)
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This paper presents a decentralized fuzzy control problem for asymptotic stabilization of a class of nonlinear large-scale systems that use an observer-based output-feedback scheme. A Takagi-Sugeno (T-S) fuzzy model is adopted for the nonlinear large-scale system, which has unknown interconnection terms, and a fuzzy controller is separately considered for measurable and nonmeasurable premise varia... View full abstract»

• ### $L_{p}$ Consonant Approximations of Belief Functions

Publication Year: 2014, Page(s):420 - 436
Cited by:  Papers (3)
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In this paper, we solve the problem of approximating a belief measure with a necessity measure or “consonant belief function” in a geometric framework. Consonant belief functions form a simplicial complex in both the space of all belief functions and the space of all mass vectors: Partial approximations are first sought in each component of the complex, while global solutions are sel... View full abstract»

• ### Adaptive Fuzzy Control for Multilateral Cooperative Teleoperation of Multiple Robotic Manipulators Under Random Network-Induced Delays

Publication Year: 2014, Page(s):437 - 450
Cited by:  Papers (37)
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In this paper, an adaptive fuzzy control is investigated for multilateral teleoperation of two cooperating robotic manipulators that manipulate an object with constrained trajectory/force in the presence of dynamics uncertainties and random network-induced delays. First, the interconnected dynamics that consist of two master robots and cooperating slave robots are formulated. To consider multiple ... View full abstract»

• ### TSK Observers for Discrete Type-1 and Type-2 Fuzzy Systems

Publication Year: 2014, Page(s):451 - 458
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This paper proposes a new observer design methodology for type-1 and type-2 Takagi-Sugeno-Kang fuzzy systems. The design methodology does not require a common Lyapunov function and is, therefore, applicable to systems with nondetectable consequents. Our observers include fuzzy observers as well as constant gain observers. The observers are exponentially stable, and the designer can specify the rat... View full abstract»

• ### Robust ${\mathscr H}_{\infty }$ Control of T–S Fuzzy Time-Delay Systems via a New Sliding-Mode Control Scheme

Publication Year: 2014, Page(s):459 - 465
Cited by:  Papers (13)
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This paper addresses the sliding-mode control (SMC) design problem for a class of uncertain nonlinear systems that can be represented by Takagi-Sugeno (T-S) fuzzy models. We propose a novel dynamic sliding-mode control scheme for T-S fuzzy models, aiming to eliminate the restrictive assumption that all subsystems share a common input matrix, which is required in most existing fuzzy SMC approaches.... View full abstract»

• ### Toward Necessity of Parametric Conditions for Monotonic Fuzzy Systems

Publication Year: 2014, Page(s):465 - 468
Cited by:  Papers (5)
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Input-output monotonicity is an important constraint found in many application domains. A monotonic fuzzy system (MFS) is defined as a Takagi-Sugeno-Kang (TSK) system whose output is monotonically increasing or decreasing with respect to one or more inputs. This paper reviews the authors' previous work, which derived the parametric conditions for the MFS, and discusses the rationale lying behind t... View full abstract»

• ### IEEE Computational Intelligence Society Information

Publication Year: 2014, Page(s): C3
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• ### IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2014, 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