By Topic

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

Issue 4 • Date Aug. 1999

Filter Results

Displaying Results 1 - 13 of 13
  • Comments on "A new approach to adaptive fuzzy control: the controller output error method"

    Publication Year: 1999 , Page(s): 545 - 546
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (45 KB)  

    For original paper see ibid., vol 27, p. 686-91, Aug. 1997. In the above paper, a novel algorithm for adaptively updating the parameters of a fuzzy controller was proposed. The purpose of this letter is to point out that this algorithm, and its use, are well known. The authors of the above paper acknowledge the previous use of similar concepts, however this letter draws attention to a particularly... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A neural-based crowd estimation by hybrid global learning algorithm

    Publication Year: 1999 , Page(s): 535 - 541
    Cited by:  Papers (33)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (264 KB)  

    A neural-based crowd estimation system for surveillance in complex scenes at underground station platform is presented. Estimation is carried out by extracting a set of significant features from sequences of images. Those feature indexes are modeled by a neural network to estimate the crowd density. The learning phase is based on our proposed hybrid of the least-squares and global search algorithm... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Function approximation based on fuzzy rules extracted from partitioned numerical data

    Publication Year: 1999 , Page(s): 525 - 534
    Cited by:  Papers (23)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (236 KB)  

    We present an efficient method for extracting fuzzy rules directly from numerical input-output data for function approximation problems. First, we convert a given function approximation problem into a pattern classification problem. This is done by dividing the universe of discourse of the output variable into multiple intervals, each regarded as a class, and then by assigning a class to each of t... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A gradual neural network approach for FPGA segmented channel routing problems

    Publication Year: 1999 , Page(s): 481 - 489
    Cited by:  Papers (5)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (248 KB)  

    A novel neural network approach called gradual neural network (GNN) is presented for segmented channel routing in field programmable gate arrays (FPGA's). FPGA's contain predefined segmented channels for net routing, where adjacent segments in a track can be interconnected through programmable switches for longer segments. The goal of the FPGA segmented channel routing problem, known to be NP-comp... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Computing with words

    Publication Year: 1999 , Page(s): 518 - 524
    Cited by:  Papers (35)  |  Patents (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (136 KB)  

    Computing with words is defined, in this paper, to be a symbolic generalization of fuzzy logic, which admits self-reference. It entails the randomization of declarative knowledge, which yields procedural knowledge. Such randomization can occur at two levels. First is termed weak randomization, which is essentially a domain-general pattern-matching operation. Second is termed strong randomization, ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Temporal knowledge representation and reasoning techniques using time Petri nets

    Publication Year: 1999 , Page(s): 541 - 545
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (152 KB)  

    In this paper, we present temporal knowledge representation and reasoning techniques using time Petri nets. A method is also proposed to check the consistency of the temporal knowledge. The proposed method can overcome the drawback of the one presented in Yao (1994). It provides a useful way to check the consistency of the temporal knowledge View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy service control of queueing systems

    Publication Year: 1999 , Page(s): 503 - 517
    Cited by:  Papers (6)  |  Patents (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (376 KB)  

    We consider queueing systems in which the service rate is the controlled variable. The cost depends on the queue length and selected rate. The objective is to choose the service rate dynamically, based on the state of the system so as to minimize the average cost over an infinite horizon. Six classes, either known in the literature or new, are studied in detail: queueing systems with vacations, si... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fuzzy local linearization and local basis function expansion in nonlinear system modeling

    Publication Year: 1999 , Page(s): 559 - 565
    Cited by:  Papers (32)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (244 KB)  

    Fuzzy local linearization is compared with local basis function expansion for modeling unknown nonlinear processes. First-order Takagi-Sugeno fuzzy model and the analysis of variance (ANOVA) decomposition are combined for the fuzzy local linearization of nonlinear systems, in which B-splines are used as membership functions of the fuzzy sets for input space partition. A modified algorithm for adap... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • A numerical optimization approach for tuning fuzzy logic controllers

    Publication Year: 1999 , Page(s): 565 - 569
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (108 KB)  

    This paper develops a method to tune fuzzy controllers using numerical optimization. The main attribute of this approach is that it allows fuzzy logic controllers to be tuned to achieve global performance requirements. Furthermore, this approach allows design constraints to be implemented during the tuning process. The method tunes the controller by parameterizing the membership functions for erro... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Randomized neural networks for learning stochastic dependences

    Publication Year: 1999 , Page(s): 469 - 480
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (324 KB)  

    We consider the problem of learning the dependence of one random variable on another, from a finite string of independently identically distributed (i.i.d.) copies of the pair. The problem is first converted to that of learning a function of the latter random variable and an independent random variable uniformly distributed on the unit interval. However, this cannot be achieved using the usual fun... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Scheduling multiprocessor job with resource and timing constraints using neural networks

    Publication Year: 1999 , Page(s): 490 - 502
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (432 KB)  

    The Hopfield neural network is extensively applied to obtaining an optimal/feasible solution in many different applications such as the traveling salesman problem (TSP), a typical discrete combinatorial problem. Although providing rapid convergence to the solution, TSP frequently converges to a local minimum. Stochastic simulated annealing is a highly effective means of obtaining an optimal soluti... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • On the structuring of systems with fuzzy relations

    Publication Year: 1999 , Page(s): 547 - 553
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (168 KB)  

    Interpretive structural modeling for binary relations and fuzzy structural modeling for fuzzy relations restrict the relation defined on the system being modeled to be either transitive or fuzzy semitransitive. Also, no cycles are allowed in the formal sense. In this paper, we present a new generalized fuzzy structural modeling (GFSM) methodology which does not impose any such restriction on the r... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Stereo matching using Hebbian learning

    Publication Year: 1999 , Page(s): 553 - 559
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (920 KB)  

    This paper presents an approach to the local stereo matching problem using edge segments as features with several attributes. We have verified that the differences in attributes for the true matches cluster in a cloud around a center. The correspondence is established on the basis of the minimum distance criterion, computing the Mahalanobis distance between the difference of the attributes for a c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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