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IEEE Transactions on Fuzzy Systems

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Displaying Results 1 - 23 of 23

Publication Year: 2013, Page(s): C1
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• IEEE Transactions on Fuzzy Systems publication information

Publication Year: 2013, Page(s): C2
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• Stationary Fuzzy Fokker–Planck Learning for Derivative-Free Optimization

Publication Year: 2013, Page(s):193 - 208
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Stationary fuzzy Fokker-Planck learning (SFFPL) is a recently introduced computational method that applies fuzzy modeling to solve optimization problems. This study develops a concept of applying SFFPL-based computations for nonlinear constrained optimization. We consider the development of SFFPL-based optimization algorithms which do not require derivatives of the objective function and of the co... View full abstract»

• Weighted Fuzzy Spiking Neural P Systems

Publication Year: 2013, Page(s):209 - 220
Cited by:  Papers (37)
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Spiking neural P systems (SN P systems) are a new class of computing models inspired by the neurophysiological behavior of biological spiking neurons. In order to make SN P systems capable of representing and processing fuzzy and uncertain knowledge, we propose a new class of spiking neural P systems in this paper called weighted fuzzy spiking neural P systems (WFSN P systems). New elements, inclu... View full abstract»

• Fault Estimation and Tolerant Control for Fuzzy Stochastic Systems

Publication Year: 2013, Page(s):221 - 229
Cited by:  Papers (105)
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This paper deals with the problem of fault estimation and fault-tolerant control for Takagi-Sugeno (T-S) fuzzy stochastic systems with sensor failures, where the system under consideration contains Itô-type stochastic disturbances. A new robust observer technique is presented to obtain the estimates of the system states and the sensor faults simultaneously, and a fuzzy fault-tolerant contr... View full abstract»

• Interval Type-2 Fuzzy Sets Constructed From Several Membership Functions: Application to the Fuzzy Thresholding Algorithm

Publication Year: 2013, Page(s):230 - 244
Cited by:  Papers (41)
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An important problem in working with fuzzy sets is the correct construction of the membership functions that represent the objects of the system. Different experts construct different membership functions to represent the same object. In this paper, we construct an interval type-2 fuzzy set (IT2FS) with different fuzzy sets such that the length of the (membership) interval represents the uncertain... View full abstract»

• Static-Output-Feedback ${mathscr H}_{bm infty }$ Control of Continuous-Time T - S Fuzzy Affine Systems Via Piecewise Lyapunov Functions

Publication Year: 2013, Page(s):245 - 261
Cited by:  Papers (156)
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This paper investigates the problem of robust H∞ output feedback control for a class of continuous-time Takagi-Sugeno (T-S) fuzzy affine dynamic systems with parametric uncertainties and input constraints. The objective is to design a suitable constrained piecewise affine static output feedback controller, guaranteeing the asymptotic stability of the resulting closed-loop fuzzy c... View full abstract»

• Output Regulation of Polynomial-Fuzzy-Model-Based Control Systems

Publication Year: 2013, Page(s):262 - 274
Cited by:  Papers (37)
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This paper investigates the output regulation problem of polynomial-fuzzy-model-based (PFMB) control systems with the consideration of system stability and control synthesis using the sum-of-squares (SOS)-based approach. A PFMB control system is formed by a polynomial fuzzy model and a polynomial fuzzy controller with integral action connected in a closed loop. Three cases of PFMB control systems ... View full abstract»

• Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics

Publication Year: 2013, Page(s):275 - 288
Cited by:  Papers (174)
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In this paper, the problems of stability and tracking control for a class of large-scale nonlinear systems with unmodeled dynamics are addressed by designing the decentralized adaptive fuzzy output feedback approach. Because the dynamic surface control technique is introduced, the designed controllers can avoid the issue of “explosion of complexity,” which comes from the traditional ... View full abstract»

• Fuzzy Logic System-Based Adaptive Fault-Tolerant Control for Near-Space Vehicle Attitude Dynamics With Actuator Faults

Publication Year: 2013, Page(s):289 - 300
Cited by:  Papers (51)
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This paper addresses the problem of fault-tolerant control (FTC) for near-space vehicle (NSV) attitude dynamics with actuator faults, which is described by a Takagi-Sugeno (T-S) fuzzy model. First, a general actuator fault model that integrated varying bias and gain faults, which are assumed to be dependent on the system state, is proposed. Then, sliding mode observers (SMOs) are designed to provi... View full abstract»

• Adaptive Output Feedback Control for Nonlinear Time-Delay Systems by Fuzzy Approximation Approach

Publication Year: 2013, Page(s):301 - 313
Cited by:  Papers (111)
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In this paper, the problem of adaptive fuzzy tracking control via output feedback for a class of uncertain single-input single-output (SISO) strict-feedback nonlinear systems with unknown time-delay functions is investigated. Dynamic surface control technique is used to avoid the problem of “explosion of complexity,” which is caused by repeated differentiation of certain nonlinear fu... View full abstract»

• A Combined Backstepping and Stochastic Small-Gain Approach to Robust Adaptive Fuzzy Output Feedback Control

Publication Year: 2013, Page(s):314 - 327
Cited by:  Papers (118)
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In this paper, an adaptive fuzzy output feedback control approach is investigated for a class of stochastic nonlinear strict-feedback systems without the requirement of states measurement. The stochastic nonlinear system addressed in this paper is assumed to possess unstructured uncertainties (unknown nonlinear functions) and, in the presence of unmodeled dynamics, dynamics disturbances. Fuzzy log... View full abstract»

• Universal Fuzzy Models and Universal Fuzzy Controllers for Stochastic Nonaffine Nonlinear Systems

Publication Year: 2013, Page(s):328 - 341
Cited by:  Papers (54)
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This paper investigates the universal fuzzy model and universal fuzzy controller problems for stochastic nonaffine nonlinear systems. The underlying mechanism of stochastic fuzzy logic is first discussed, and a stochastic generalized fuzzy model with new stochastic fuzzy rule base is then given. Based on their function approximation capability, these kinds of stochastic generalized fuzzy models ar... View full abstract»

• Intuitionistic Fuzzy Cognitive Maps

Publication Year: 2013, Page(s):342 - 354
Cited by:  Papers (36)
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Uncertainty and imprecision characterize human cognitive and reasoning processes. Fuzzy cognitive maps (FCMs) are computationally simple yet effective structures to approximately model and simulate such processes. A limitation of current FCMs is that they are unable to model the hesitancy introduced into a complex system due to imperfect facts, missing information, and indecision. To cope with thi... View full abstract»

• Parallel Distributed Hybrid Fuzzy GBML Models With Rule Set Migration and Training Data Rotation

Publication Year: 2013, Page(s):355 - 368
Cited by:  Papers (31)
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We propose a parallel distributed model of a hybrid fuzzy genetics-based machine learning (GBML) algorithm to drastically decrease its computation time. Our hybrid algorithm has a Pittsburgh-style GBML framework where a rule set is coded as an individual. A Michigan-style rule-generation mechanism is used as a kind of local search. Our parallel distributed model is an island model where a populati... View full abstract»

• Differential Neuro-Fuzzy Controller for Uncertain Nonlinear Systems

Publication Year: 2013, Page(s):369 - 384
Cited by:  Papers (7)
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In general, output-based controller design remains an important research area in control theory. Most of the existing solutions use a state estimation algorithm to reconstruct a plausible approximation of the real state. Then, one can apply a nonlinear controller, based on fuzzy logic, for example, to enforce the system trajectories to a desirable stable equilibrium point. Nevertheless, the aforem... View full abstract»

• Switching-Type H∞ Filter Design for T - S Fuzzy Systems With Unknown or Partially Unknown Membership Functions

Publication Year: 2013, Page(s):385 - 392
Cited by:  Papers (29)
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This paper is concerned with the H∞ filter design problem for Takagi-Sugeno (T-S) fuzzy systems with unknown or partially unknown membership functions. If the membership functions are allowed to be unknown or partially unknown, then a fuzzy system may describe a wide class of nonlinear systems. However, in this case, the filter design of fuzzy systems, which is based on pa... View full abstract»

• IEEE Transactions on Neural and Learning Systems: Special Issue on Learning in Non-(geo)metric Spaces [call for papers]

Publication Year: 2013, Page(s): 393
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• Special issue on web-based intelligence support systems using fuzzy set technology

Publication Year: 2013, Page(s): 394
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• Open Access

Publication Year: 2013, Page(s): 395
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Publication Year: 2013, Page(s): 396
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• IEEE Computational Intelligence Society Information

Publication Year: 2013, Page(s): C3
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• IEEE Transactions on Fuzzy Systems information for authors

Publication Year: 2013, 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