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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  • Simulation-based learning in knowledge-based controllers

    Publication Year: 1996, Page(s):168 - 174
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (780 KB)

    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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  • Temporal neuro-control of idle engine speed

    Publication Year: 1996, Page(s):396 - 401
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (408 KB)

    Neural network architectures are proposed to model and control the spark-ignition (SI) engine idle speed. Static and dynamic multilayer neural networks are used to develop plant models and plant inverse function models. A neural network is trained to learn the system's input-output relationship. Another is trained to model the inverse relationship of the plant and is included in the controller. Th... 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 (6)
    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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  • A hybrid, self-organizing controller for multi-agent motion planning in a stationary environment

    Publication Year: 1996, Page(s):13 - 19
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (564 KB)

    This work explores the construction of a decentralized traffic controller for more than one agents sharing a workspace with stationary forbidden regions. The suggested controller is required to be complete and have a computational effort that linearly increase with the number of agents. The controller is also required to be self-organizing, therefore is able to generate the needed information that... View full abstract»

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  • A cooperative intelligent system for urban traffic problems

    Publication Year: 1996, Page(s):162 - 167
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (596 KB)

    This paper discusses urban traffic problems and their intelligent solutions. It firstly considers and analyzes the urban traffic problem itself. As a conclusion, a multi-agent paradigm and cooperation between humans and computers are necessary for solving the traffic problems. Such a model is presented to support the argument. Then the paper introduces a cooperative intelligent system for urban tr... View full abstract»

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  • Improving the extrapolation capability of neural networks

    Publication Year: 1996, Page(s):390 - 395
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (540 KB)

    Neural networks can be used as an effective system identification tool in that they can model the vast majority of nonlinear systems to any arbitrary degree of accuracy. However, a fundamental disadvantage of neural networks is their inability to incorporate effectively first-principles models' information into their training so that their predictive capability is improved. This study proposes to ... View full abstract»

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  • IPCA, an architecture for intelligent control

    Publication Year: 1996, Page(s):80 - 85
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (828 KB)

    IPCA (Intelligent Process Control Architecture) is an architecture for flexible, intelligent control. IPCA is rooted in the generic task (GT) approach to knowledge-based systems and incorporates plan generation and real-time plan execution monitoring components. The plan generation component produces a state-based process control plan representation which typically contains a collection of possibl... View full abstract»

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  • Digital to hybrid program transformations

    Publication Year: 1996, Page(s):342 - 347
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    This paper describes on-going research for the formulation, analysis and implementation of a procedure that transforms digital RISC fragments into hybrid programs. The proposed schema involves the construction of a function or a relation corresponding to the fragment, and the embedding of the function or relation into a suitable space of continuous trajectories over a manifold. This embedding is c... View full abstract»

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  • A satisficing approach to intelligent control of nonlinear systems

    Publication Year: 1996, Page(s):248 - 252
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB)

    The need to control complex and uncertain systems has motivated the development of new ways to represent knowledge of the system, leading to the development of intelligent controllers. Since complexity and uncertainty may render the superlative paradigm (optimality seeking) inappropriate, alternative decision paradigms may be appropriate for such systems. Satisficing control is compatible with the... View full abstract»

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  • A method for optimizing the behaviours surveillance structure in multirobots systems

    Publication Year: 1996, Page(s):530 - 535
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    In autonomous moving robotics, the tendency is to realize multirobots systems with some degree of intelligence. These robots should be able to get self-organized for achieving given tasks. The research in this field is often inspired by the ethology which studies the behaviours and interactions in insects societies. To get a correct functioning of such systems, we generally have to control them wi... View full abstract»

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  • Parameter estimation of nonlinear systems in noisy environments using genetic algorithms

    Publication Year: 1996, Page(s):360 - 365
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (480 KB)

    Traditional approaches for parameter estimation have difficulty with both nonlinear systems and with systems in noisy environments. In this paper we explore the use of genetic algorithms as the key search procedure of a methodology for estimating the parameters of discrete time nonlinear systems in noisy environments. Examples are presented to illustrate the effectiveness of the proposed approach View full abstract»

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  • Vision-based motion planning of a pneumatic robot using a topology representing neural network

    Publication Year: 1996, Page(s):7 - 12
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (648 KB)

    We present a new approach to integrate sensors into robot motion planning by combining the concept of the perceptual control manifold (PCM) and the topology representing network (TRN) algorithm. Motion planning should incorporate sensing due to the presence of uncertainty. Therefore, the PCM extends the notion of robot configuration space to include sensor space. Exploiting the topology preserving... View full abstract»

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  • Feedback neural nets for associative memories-an overview and some new results

    Publication Year: 1996, Page(s):474 - 479
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    This paper presents an overview for the existing synthesis procedures and some new developments for associative memories using feedback neural networks. Specifically, existing results including the outer product method, the projection learning rule, the eigenstructure method, and the sparse design method are reviewed for a class of feedback neural networks. Under certain sparsity constraints on th... View full abstract»

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  • Distributed optimization and principled negotiation for advanced air traffic management

    Publication Year: 1996, Page(s):156 - 161
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (612 KB)

    A game-theoretic model of aircraft/airspace system behavior is presented. The model demonstrates the benefits of a distributed approach to air traffic management. Principled negotiation between agents is proposed as the basis for allowing distributed optimization while maintaining coordination. Simulation results show that this approach allows a high level of user optimization, decreases controlle... View full abstract»

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  • Neural network control of processes with recycle

    Publication Year: 1996, Page(s):384 - 389
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (364 KB)

    Recycles in processing systems can add significant difficulty for feedback control by increasing complexity, nonlinearity and larger time delays. This study explores the use of neural networks to handle the control problems of recycles. The most critical design issue was the decision to include an auxiliary variable: the equilibrium value of the controlled variable, and the training set used View full abstract»

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  • Skill transfer and training in emergent hierarchical control systems

    Publication Year: 1996, Page(s):74 - 79
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    For robots expected to perform tasks of complexity approaching those performed by humans (or other animals) it is becoming clear that robots must be capable of both learning from instruction as well as discovering and learning autonomously. Presented in this paper are methods through which novice robots can be prepared for their future endeavours, not through explicit specification and memorizatio... View full abstract»

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  • Issues and subtleties in hybrid control systems

    Publication Year: 1996, Page(s):336 - 341
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB)

    Here, we look at hybrid control systems as those combining continuous and discrete outputs, states, and controls. We first outline general hybrid control research areas. Then, we give a mathematical model of hybrid control systems. We end by elucidating issues in each of the research areas in light of previous results View full abstract»

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  • Multiple-fault diagnosis in intelligent control systems

    Publication Year: 1996, Page(s):212 - 217
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (572 KB)

    Fault isolation, diagnosis, and recovery are key components of intelligent control systems. This paper presents some new approaches to the important issue of detecting and isolating faults from multiple causes. By using a new, heuristic, fault likelihood measure and sequential testing of components, fault diagnosis algorithms are presented for which polynomial computation is sufficient, in the ave... 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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  • Nesting, safety, layering, and autonomy: a coordinated computational intelligence (CCI) approach to folding legged robot locomotion and gymnastic training

    Publication Year: 1996, Page(s):524 - 529
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB)

    A coordinated computational intelligence (CCI) approach is presented for folding-legged robot locomotion and gymnastics. The new approach is based on the hypotheses that (1) the human cerebellum consists of a school of semiautonomous neural-fuzzy cerebellar agents coordinated by common sense cerebellar motion laws; and (2) agents can learn individually and learned agents can discover new agents an... 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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  • Real-time navigation in unknown environments using fuzzy logic and ultrasonic sensing

    Publication Year: 1996, Page(s):26 - 30
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (416 KB)

    In this study a fuzzy logic controller has been designed in order to deal with the uncertainty and ambiguity of the information the system receives. The technique has been used on a mobile robot using a set of seven ultrasonic sensors to perceive the environment. The fuzzy control designed maps the input space (information coming from ultrasonic sensors) to a safe collision avoidance trajectory (o... View full abstract»

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  • Understanding the nature of predatory pricing in the large-scale market economy with genetic algorithms

    Publication Year: 1996, Page(s):354 - 359
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB)

    This paper applies co-evolutionary genetic algorithms to an economic modelling problem. The chain-store game is a game-theoretic model for predatory pricing (price wars); the modelling goal is to study when predatory pricing can arise. It is found that, even under the same payoff structure, the results of the co-evolution of weak monopolists and entrants are sensitive to the representation of the ... View full abstract»

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