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Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Issue 6 • Date Dec 1998

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Displaying Results 1 - 22 of 22
  • Family of fuzzy J-K flip-flops based on bounded product, bounded sum and complementation

    Publication Year: 1998 , Page(s): 861 - 868
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (988 KB)  

    This paper presents a concept of new fuzzy J-K flip-flops based on bounded product, bounded sum and fuzzy complementation operations. Relationships between various types of the J-K flip-flops are given and characteristics of them are graphically shown by computer simulation. Two examples of circuits able to memorize and fuzzy information processing using the proposed fuzzy J-K flip-flops are prese... View full abstract»

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  • Steady-state error of a system with fuzzy controller

    Publication Year: 1998 , Page(s): 855 - 860
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (244 KB)  

    We consider the problem of control error of a fuzzy system with feedback. The system consists of a plant, linear or nonlinear, fuzzy controller, and feedback loop. As controller we use both PD and PI fuzzy type controllers. We apply different t-norm and co-norm: logic, algebraic, Yager, Hamacher, bounded, drastic, etc. in the process of fuzzy reasoning. Triangular shape of membership functions is ... View full abstract»

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  • Efficient mapping of backpropagation algorithm onto a network of workstations

    Publication Year: 1998 , Page(s): 841 - 848
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (204 KB)  

    In this paper, we present an efficient technique for mapping a backpropagation (BP) learning algorithm for multilayered neural networks onto a network of workstations (NOW's). We adopt a vertical partitioning scheme, where each layer in the neural network is divided into p disjoint partitions, and map each partition onto an independent workstation in a network of p workstations. We present a fully... View full abstract»

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  • Redundancy problem in writing: from human to anthropomorphic robot arm

    Publication Year: 1998 , Page(s): 790 - 805
    Cited by:  Papers (15)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (464 KB)  

    This paper presents the analysis of motion of a redundant anthropomorphic arm during the writing. The modeling is based on the separation of the prescribed movement into two motions: smooth global, and fast local motion, called distributed positioning (DP). The distribution of these motions to arm joints is discussed. It is based on the inertial properties and actuation capabilities of joints. The... View full abstract»

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  • Mathematical improvement of the Hopfield model for feasible solutions to the traveling salesman problem by a synapse dynamical system

    Publication Year: 1998 , Page(s): 906 - 919
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (472 KB)  

    It is well known that the Hopfield Model (HM) for neural networks to solve the Traveling Salesman Problem (TSP) suffers from three major drawbacks. (1) It can converge on nonoptimal locally minimum solutions. (2) It can converge on infeasible solutions. (3) Results are very sensitive to the careful tuning of its parameters. A number of methods have been proposed to overcome (a) well. In contrast, ... View full abstract»

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  • Nonconventional control of the flexible pole-cart balancing problem: Experimental results

    Publication Year: 1998 , Page(s): 895 - 901
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (180 KB)  

    Emerging techniques of intelligent or learning control seem attractive for applications in manufacturing and robotics. It is however important to understand the capabilities of such control systems. In the past the inverted pendulum has been used as a test case, however, this problem is not sufficiently testing. This research therefore concentrates on the control of the inverted pendulum with addi... View full abstract»

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  • Analytical resolution and numerical identification of fuzzy relational systems

    Publication Year: 1998 , Page(s): 919 - 924
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (208 KB)  

    Since Sanchez's seminal paper on fuzzy relational equations, both their theories and applications have been continuously exploited by researchers. However, the solvable conditions of a system of fuzzy relational equations, also known as a fuzzy relational system (FRS), are still poorly established and their relationship with the methods for obtaining approximate solutions are unclear. When the FRS... View full abstract»

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  • The Chebyshev-polynomials-based unified model neural networks for function approximation

    Publication Year: 1998 , Page(s): 925 - 935
    Cited by:  Papers (39)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (408 KB)  

    In this paper, we propose the approximate transformable technique, which includes the direct transformation and indirect transformation, to obtain a Chebyshev-Polynomials-Based (CPB) unified model neural networks for feedforward/recurrent neural networks via Chebyshev polynomials approximation. Based on this approximate transformable technique, we have derived the relationship between the single-l... View full abstract»

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  • Constraints on belief functions imposed by fuzzy random variables: Some technical remarks on Romer-Kandel

    Publication Year: 1998 , Page(s): 881 - 883
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (136 KB)  

    C. Romer and A. Kandel (1995) investigated a new approach of fuzzy data analysis combining Dempster-Shafer theory and fuzzy set theory. Especially, belief measures are derived from fuzzy random variables but proved incompletely. This paper offers a completion using topological properties induced by the Hausdorff metric which is defined on the space of closed intervals of the real numbers. Moreover... View full abstract»

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  • Discrete event representation of qualitative models using Petri nets

    Publication Year: 1998 , Page(s): 770 - 780
    Cited by:  Papers (3)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (384 KB)  

    The paper discusses how Petri nets may be used for the qualitative modeling of physical systems. The qualitative state of a system is represented by the marking of the net. The crossing of a landmark value corresponds to the firing of a transition. We give a formal procedure to construct a Petri net model corresponding to a given set of qualitative equations. The approach can be used to study both... View full abstract»

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  • Full reinforcement operators in aggregation techniques

    Publication Year: 1998 , Page(s): 757 - 769
    Cited by:  Papers (14)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (460 KB)  

    We introduce the concept of upward reinforcement in aggregation as one in which a collection of high scores can reinforce or corroborate each other to give an even higher score than any of the individual arguments. The concept of downward reinforcement is also introduced as one in which low scores reinforce each other. Our concern is with full reinforcement aggregation operators, those exhibiting ... View full abstract»

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  • Genetic algorithms for generation of class boundaries

    Publication Year: 1998 , Page(s): 816 - 828
    Cited by:  Papers (26)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (396 KB)  

    A method is described for finding decision boundaries, approximated by piecewise linear segments, for classifying patterns in ℜN,N⩾2, using an elitist model of genetic algorithms. It involves generation and placement of a set of hyperplanes (represented by strings) in the feature space that yields minimum misclassification. A scheme for the automatic deletion of redundant hyperp... View full abstract»

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  • Defuzzification using most typical values

    Publication Year: 1998 , Page(s): 901 - 906
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (208 KB)  

    A new approach for the defuzzification process, based on the Most Typical Value (MTV) concept, is being introduced and investigated. It assumes that the single decision, based on the output fuzzy subset, should represent a typical value of this set, rather than a numerical “central tendency” of its elements. The MTV defuzzification method is compared with previous defuzzification proce... View full abstract»

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  • Learning Petri network and its application to nonlinear system control

    Publication Year: 1998 , Page(s): 781 - 789
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (292 KB)  

    According to recent knowledge of brain science it is suggested that there exists functions distribution, which means that specific parts exist in the brain for realizing specific functions. This paper introduces a new brain-like model called Learning Petri Network (LPN) that has the capability of functions distribution and learning. The idea is to use Petri net to realize the functions distributio... View full abstract»

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  • Automata learning and intelligent tertiary searching for stochastic point location

    Publication Year: 1998 , Page(s): 947 - 954
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (284 KB)  

    Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially informs it, possibly erroneously, which way it should move. The first reported paper to solve this problem (Oommen 1997) presented a solution which operated in a discretized space. In this paper we present a new scheme by whic... View full abstract»

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  • Functional graph model of a neural network

    Publication Year: 1998 , Page(s): 876 - 881
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (264 KB)  

    A model representing neural networks is proposed. It uses the functional graphs notion defined by R. Jakubowski (1977). This is a system of nodes connected with functional edges between which binary relations can be defined. Multilayer artificial neural networks can easily be defined using functional edges to model neurons, and parametrized binary relations to model synaptic connections. Learning ... View full abstract»

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  • A neuro-fuzzy controller for mobile robot navigation and multirobot convoying

    Publication Year: 1998 , Page(s): 829 - 840
    Cited by:  Papers (39)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (472 KB)  

    A Neural integrated Fuzzy conTroller (NiF-T) which integrates the fuzzy logic representation of human knowledge with the learning capability of neural networks is developed for nonlinear dynamic control problems. NiF-T architecture comprises of three distinct parts: (1) Fuzzy logic Membership Functions (FMF), (2) a Rule Neural Network (RNN), and (3) an Output-Refinement Neural Network (ORNN). FMF ... View full abstract»

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  • Discrete techniques for 3-D digital images and patterns under transformation

    Publication Year: 1998 , Page(s): 883 - 894
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (732 KB)  

    Three-dimensional (3-D) digital images and patterns under transformations are facilitated by the splitting-shooting method (SSM) and the splitting-integration method (SIM). The combination (CSIM) of using both SSM and SIM and two combinations (CIIM) of using SIM only are proposed for a cycle conversion T-1T, where T is a nonlinear transformation, and T-1 is its inverse transf... View full abstract»

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  • Window-shaped obstacle avoidance for a redundant manipulator

    Publication Year: 1998 , Page(s): 806 - 815
    Cited by:  Papers (11)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (580 KB)  

    The window-shaped obstacle avoidance problem is studied in this paper. Several research papers regarding obstacle avoidance including the method proposed by Zghal et al., which we believe is the most suitable for three-dimensional (3-D) window-shaped obstacle avoidance are studied. Consequently, several shortcomings of the Zghal's method are discovered. The Zghal's method will produce chattering s... View full abstract»

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  • Dynamic cluster generation for a fuzzy classifier with ellipsoidal regions

    Publication Year: 1998 , Page(s): 869 - 876
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (260 KB)  

    In this paper, we discuss a fuzzy classifier with ellipsoidal regions that dynamically generates clusters. First, for the data belonging to a class we define a fuzzy rule with an ellipsoidal region. Namely, using the training data for each class, we calculate the center and the covariance matrix of the ellipsoidal region for the class. Then we tune the fuzzy rules, i.e., the slopes of the membersh... View full abstract»

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  • A novel approach for multistage inference fuzzy control

    Publication Year: 1998 , Page(s): 935 - 946
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (528 KB)  

    This paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the multistage inference. This proposed method can reduce the design cycle time. In order... View full abstract»

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  • An evolutionary neural network approach for module orientation problems

    Publication Year: 1998 , Page(s): 849 - 855
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (240 KB)  

    A novel neural network approach called “Evolutionary Neural Network (ENN)” is presented for the module orientation problem. The goal of this NP-complete problem is to minimize the total wire length by flipping circuit modules with respect to their vertical and/or horizontal axes of symmetry. In order to achieve high quality VLSI systems, it is strongly desired to solve the problem as q... View full abstract»

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Aims & Scope

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics focuses on cybernetics, including communication and control across humans, machines and organizations at the structural or neural level

 

This Transaction ceased production in 2012. The current retitled publication is IEEE Transactions on Cybernetics.

Full Aims & Scope

Meet Our Editors

Editor-in-Chief
Dr. Eugene Santos, Jr.
Thayer School of Engineering
Dartmouth College