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Proceedings of the 1996 IEEE International Symposium on Intelligent Control

15-18 Sept. 1996

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  • Proceedings of the 1996 IEEE International Symposium on Intelligent Control

    Publication Year: 1996
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    Freely Available from IEEE
  • Index of Authors, Chairpersons, and Organizers of the 1996 IEEE CCA/ISIC/CACSD

    Publication Year: 1996, Page(s):553 - 563
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (974 KB)

    Presents an index of the authors whose papers are published in the conference. View full abstract»

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  • Synthesis of fuzzy control systems with desired performance

    Publication Year: 1996, Page(s):115 - 120
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (436 KB)

    Fuzzy controllers can be derived from fuzzy models of the process to be controlled, by means of a systematic synthesis approach. The resulting fuzzy control systems have the guaranteed stability and the desired performance. As a result, this approach is superior to other fuzzy controller synthesis techniques where achieving the desired control performances is performed by trial-and-errors. First, ... View full abstract»

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  • Fuzzy learning enhanced speed control of an indirect field oriented induction machine drive

    Publication Year: 1996, Page(s):109 - 114
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB)

    Indirect field orientation (IFO) induction machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades due to the machine parameter variations. In this paper, a fuzzy model reference learning control (FMRLC) technique is applied in an IFO induction machine drive, such that the machine can follow a reference model (an ideal field oriented machine) ... View full abstract»

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  • Learning feedforward control of a flexible beam

    Publication Year: 1996, Page(s):103 - 108
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (508 KB)

    Servo control is usually done by means of model-based feedback controllers, which has two difficulties: 1) the design of a well performing feedback controller requires extensive and time consuming modelling of the process; and 2) by applying feedback control a compromise has to be made between performance and robust stability. The learning feedforward controller (LFFC) may help to overcome these d... View full abstract»

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  • Intelligent systems: a semiotic perspective

    Publication Year: 1996, Page(s):61 - 67
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (640 KB)

    Intelligent systems have been in the focus of attention of scientific community for a long time. Nevertheless, the concept of intelligent system is not fully understood, and it affects interpretation of the existing research results as well as the choice of new research directions. In this paper, the subject is considered both from the semiotic and control theory point of view. The phenomenon of i... View full abstract»

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  • Learning of hierarchical control structures

    Publication Year: 1996, Page(s):97 - 102
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (600 KB)

    The use of externally imposed hierarchical structures to reduce the complexity of learning control is common. However it is clear that the learning of the hierarchical structure by the machine itself is an important step towards more general and less bounded learning. Presented in this paper is a nested Q-learning technique that generates a hierarchical control structure as the robot interacts wit... View full abstract»

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  • Efficiency of fuzzy and adaptive fuzzy controllers relative to PID controller in temperature control

    Publication Year: 1996, Page(s):55 - 60
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB)

    The comparative study among the PID controller, the fuzzy controller and the supervisory fuzzy controller, shows the efficiency of the fuzzy controllers over the PID controller. In the supervisory fuzzy controller, a rule base is written such that the upper level fuzzy controller changes the control parameters of the lower level PID controller. The application considered is heating and air conditi... View full abstract»

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  • Plausible reasoning for open problem domains

    Publication Year: 1996, Page(s):242 - 247
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB)

    Intelligent control is connected with open problem domains that characterize control situations. Therefore, the formalization of problem situations, uncertainty handling and efficient problem solving methods are important to realise this control. A formal theory of plausible reasoning is introduced which provides an appropriate foundation for intelligent systems that solve problems with open probl... View full abstract»

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  • Saccade control for an active stereo head using a learned spatial representation

    Publication Year: 1996, Page(s):91 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (680 KB)

    An important mechanism in active vision is that of fixating to different targets of interest in a scene. We propose a two stage execution of saccades, where the first stage is an “open-loop” mode based on a learned spatial representation while the second stage is a closed loop “visual servoing” mode. Explicit calibration of the kinematic and imaging parameters of the system... View full abstract»

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  • Servo application of a model reference-based adaptive fuzzy control

    Publication Year: 1996, Page(s):49 - 54
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (472 KB)

    The paper describes a design and practical implementation of a model reference adaptive fuzzy control scheme in the angular speed control loop of a DC motor drive. The control scheme being implemented contains a fuzzy adaptation algorithm that dynamically adjusts the level of the basic fuzzy controller's output. The experimental results indicate marked improvement of the dynamic performance in cas... View full abstract»

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  • Gain scheduling control of nonlinear plant using RBF neural network

    Publication Year: 1996, Page(s):502 - 507
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (504 KB)

    In this paper, an on-line approach to gain scheduling control of a type of nonlinear plant is proposed. The method consists of a partitioning algorithm to partition the plant's operating space into several regions, a mechanism that designs a linear controller for each region, and a radial basis function neural network (RBFN) for on-line interpolation of the controller parameters among the differen... View full abstract»

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  • Genetic design of robust PID controllers to deal with prescribed plant uncertainties through a process of competitive co-evolution

    Publication Year: 1996, Page(s):372 - 377
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB)

    Artificial co-evolutionary techniques are proposed in a new and novel paradigm to solve the problem of designing a robust fixed PID controller for a plant with prescribed plant uncertainties. The co-evolutionary scheme used, involves generating two separate populations, one representing the controller and the other the plant. Two separate cost functions are then used in the co-evolutionary scheme ... View full abstract»

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  • Modeling and control design for a computer controlled brake system

    Publication Year: 1996, Page(s):414 - 419
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    In this paper we consider the problem of modeling and control of a computer controlled brake system. The brake model is developed using a series of experiments conducted on a test bench which contains the full scale brake subsystem of a Lincoln town car and a computer controlled actuator designed by Ford Motor Company. The developed model has the form of a first order nonlinear system with the sys... View full abstract»

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  • Partially asynchronous distributed algorithms for 2-dimensional multi-agent supporting systems

    Publication Year: 1996, Page(s):236 - 241
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (476 KB)

    This paper studies a physical surface whose shape is controlled by a multi-agent supporting system (MASS) consisting of components that cooperate to restore the original shape of the surface after an arbitrary disturbance. Synchronous distributed algorithms for 2-dimensional MASS have been investigated in the literature. This paper considers two models for 2-dimensional MASS having different numbe... View full abstract»

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  • The modelling of plasma etching processes using neural network and statistical techniques

    Publication Year: 1996, Page(s):218 - 223
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB)

    Industrial plasma etcher operation in IC manufacture is often carried out through process recipes, with little or no adjustment based on feedback of important process outputs. The recipes created are not transferable between different etch chemistries or from reactor to reactor and the etch profiles resulting from a given recipe may vary with time as conditions within the reactor change. Two major... View full abstract»

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  • Simulation-based learning in knowledge-based controllers

    Publication Year: 1996, Page(s):168 - 174
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    A methodology is presented to transform knowledge-based controllers into adaptive structure representations. These adaptive controllers are then evolved using automatic directed search methods, where the performance of the trial controllers is evaluated through simulation in a synthetic environment. This automatically acquired knowledge is incorporated back into a revised knowledge-based controlle... View full abstract»

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  • Real-time adaptive on-line traffic incident detection

    Publication Year: 1996, Page(s):200 - 205
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB)

    A new approach to traffic incident detection is proposed in this paper. The method consists of two stages. In the first stage, a real-time adaptive on-line procedure is used to extract the significant components of traffic states, namely, average velocity and density of moving vehicles. In order to effectively and efficiently account for the time-varying and random nature of traffic incidents, it ... View full abstract»

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  • Supervised learning in neural networks without feedback network

    Publication Year: 1996, Page(s):86 - 90
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    In this paper, we study the supervised learning in neural networks. Unlike the common practice of backpropagating error feedback by a separate feedback network that must have the same topology and connection strengths as the feedforward network, we propose a new adaptation algorithm by which the same supervised learning as accomplished by the backpropagation algorithm can be achieved without using... View full abstract»

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  • Robust spacecraft attitude control using fuzzy CMAC

    Publication Year: 1996, Page(s):43 - 48
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB)

    In this paper, we propose to use a new neural network called fuzzy CMAC (cerebellar model arithmetic computer) to tackle the attitude control problem. The advantages are no linearity in the system parameter assumption is needed and no upper bounds of unknown parameters is required. An online tuning scheme with no off-line training phase is used to update the weights in the neural network. Attitude... View full abstract»

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  • Optimal layering of neurons

    Publication Year: 1996, Page(s):497 - 501
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    Given the number of input, output, and hidden neurons in a neural network, what is the optimal layering of hidden neurons that will maximize the topological capacity of the neural network? Here we define the “topological capacity” of a neural network to be the number of connections between neurons. The answer to this question is very interesting. For hierarchical networks, having as ma... View full abstract»

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  • Genetic design of a gain-scheduled controller for a nonlinear concentration control system

    Publication Year: 1996, Page(s):366 - 371
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (404 KB)

    The technique of genetic algorithms is proposed as a means of designing gain-scheduled PID control schemes for a class of nonlinear plants where the nonlinearity is a function of the plant output. It is shown that the use of genetic algorithms for this purpose results in highly effective gain-scheduled controller for a highly nonlinear discrete-time single-input single-output model of a concentrat... View full abstract»

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  • A note on the corridor policy for setup scheduling of manufacturing systems

    Publication Year: 1996, Page(s):151 - 155
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (420 KB)

    In this article the corridor policy for setup scheduling of manufacturing systems is studied. The setup times are nonzero. First we give alternative proofs for the uniqueness of the limit cycles and finite reachability of the converging hypercone corridor policy. We then propose a “pencil policy”. It is a “nonlinear” scheduling policy which combines the small swing property... View full abstract»

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  • Adaptive fuzzy control of AC motors for electric vehicles and manufacturing systems

    Publication Year: 1996, Page(s):408 - 413
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (396 KB)

    Electric motors impact a wide range of application domains in the automotive industry, from manufacturing equipment to the automobile itself especially for electric and hybrid vehicles. Among electric motors, AC motors offer many advantages over their DC counterparts with respect to size, weight, cost, and power, but they also exhibit a complex nonlinear character and their control therefore requi... View full abstract»

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  • Identification of a high efficiency boiler based on neural networks with locally distributed dynamics

    Publication Year: 1996, Page(s):426 - 431
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (528 KB)

    This paper considers the application of neural network with distributed dynamics to the identification of nonlinear systems. The main intention is to provide a simulation tool to the development engineer. The identification of the thermal plant is accomplished without any a priori knowledge about the nonlinear structure or the dynamics of the plant. Identification results of two different neural n... View full abstract»

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