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Date 26-28 June 1991

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Displaying Results 1 - 25 of 697
  • Proceedings of the 1991 American Control Conference

    Publication Year: 1991, Page(s): 1
    IEEE is not the copyright holder of this material | PDF file iconPDF (34 KB)
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  • Copyright page

    Publication Year: 1991, Page(s): 2
    IEEE is not the copyright holder of this material | PDF file iconPDF (28 KB)
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  • Awards of the American Automatic Control Council 1991

    Publication Year: 1991, Page(s):3 - 5
    IEEE is not the copyright holder of this material | PDF file iconPDF (234 KB)
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  • Operating Committee

    Publication Year: 1991, Page(s): 6
    IEEE is not the copyright holder of this material | PDF file iconPDF (52 KB)
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  • Program Committee

    Publication Year: 1991, Page(s): 6
    IEEE is not the copyright holder of this material | PDF file iconPDF (52 KB)
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  • Technical program

    Publication Year: 1991, Page(s):7 - 58
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  • Foreword

    Publication Year: 1991, Page(s): 1
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  • A Neural Network Approach for Identification of Continuous-Time Nonlinear Dynamic Systems

    Publication Year: 1991, Page(s):1 - 5
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (284 KB)

    In this paper, a neural network approach for identifying continuous time nonlinear dynamic systems is presented. The nonlinear dynamic system may be described by a state space model or represented by an input-output relationship. The concept of state-variable filter is employed such that no derivatives of the output or input are required. The weight adjustments are based on a gradient algorithm an... View full abstract»

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  • State-Space Quantization Design for the Suboptimal Control of Constrained Systems Using Neuromorphic Controllers

    Publication Year: 1991, Page(s):6 - 11
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (533 KB)

    During the last few years there has been considerable interest in the use of trainable controllers based upon the use of neuron-like elements, with the expectation being that these controllers can be trained, with relatively little effort, to achieve good performance. However, good performance hinges on the ability of the neural net to generate a "good" control law even when the input does not bel... View full abstract»

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  • Fuzzy Dynamic Systems: An Application of Fuzzy Associative Memory with An Intermediate Layer

    Publication Year: 1991, Page(s):12 - 13
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (225 KB)

    The concept of energetic stability is applied to analyze a fussy dynamic system. To eliminate the effect of fussiness, the multi-layered fussy associative memory is proposed and utilized for implementing fussy systems. This theoretical development presented here enables us to measure the performance of the designed fussy control rules. As an illustrative example, two control rule bases developed b... View full abstract»

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  • Design of Multi-Layer Neural Networks for Accurate Identification of Nonlinear Mappings

    Publication Year: 1991, Page(s):14 - 15
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (198 KB)

    Guidelines for the design of multi-layer neural networks for the identification of nonlinear mappings are considered in this work. Since nonlinear mappings can be approximated by a one hidden layer neural network, an approach to determine the sufficient number of hidden layer nodes to achieve a global minima of the identification error function is considered. View full abstract»

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  • Efficient Weight Estimation in Neural Networks for Adaptive Control

    Publication Year: 1991, Page(s):16 - 20
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (515 KB)

    This paper considers the applicaton of neural networks in controlling a system with unknown process equations. To make such an approach practical, it is required that connection weights in the neural network be estimated efficiently. This paper considers the use of a new stochastic approximation algorithm for this weight estimation. It is shown that this algorithm can greatly reduce the computatio... View full abstract»

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  • A Reinforcement-Learning Neural Network for the Control of Nonlinear Systems

    Publication Year: 1991, Page(s):21 - 22
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (235 KB)

    Reinforcement learning in neural nets is an approach to the problem of credit assignment during learning. As opposed to gradient descent techniques such as backpropagation, a reinforcement learning scheme uses a single reinforcement signal from the environment to adjust the network weights. In this short paper we describe reinforcement learning and propose a multilayer neural network with real-val... View full abstract»

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  • High Order Recursive Neural Networks

    Publication Year: 1991, Page(s):23 - 24
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (191 KB)

    This paper modifies the previously introduced recursive neural network (RNN) to include higher order terms. Applications of the new structure in systems theory are discussed. View full abstract»

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  • Recursive Radial Basis Functions for Multivariable Function Approximation

    Publication Year: 1991, Page(s):25 - 27
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (273 KB)

    In many proposed applications of neural networks for control the network acts as a static nonlinear map which approximates the input-output characteirstics of controlled systems, such as mechanical manipulators or chemical processes. It has been shown recently that the radial basis function method for multivariable function approximation can match or even outperform the networks in speed of learni... View full abstract»

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  • Unsupervised Adaptive Neural-Network Control of Complex Mechanical Systems

    Publication Year: 1991, Page(s):28 - 29
    Cited by:  Papers (4)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (146 KB)

    Unsupervised adaptive control strategies based on neural-networks are presented. The tasks are performed by two independent networks which act as the plant identifier and the system controller. A new learning algorithm using information embedded in the identifier to modify the action of the controller has been developed. Simulation results are presented showing that this system can learn to stabil... View full abstract»

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  • Fusion of Fuzzy Logic and Neural Networks with Applications to Decision and Control Problems

    Publication Year: 1991, Page(s):30 - 31
    Cited by:  Patents (9)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (230 KB)

    Human logic and inference mechanism have challenged mathematicians and cyberneticians for a long time. Recent developments in fuzzy logic and neural networks provide a new mathematical platform to develop new methodologies for the emulation of human-like interference mechanisms for its application to decision and control problems. In this paper, we provide a mathematical fusion of fuzzy logic and ... View full abstract»

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  • Reaching Conditions in Variable Structure Systems for Output Feedback Control

    Publication Year: 1991, Page(s):32 - 36
    Cited by:  Papers (3)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (362 KB)

    This paper investigates the issues surrounding the reaching conditions in variable structure systems with output feedback control. The control law is formulated so that static output feedback can be applied to variable structure systems as opposed to state feedback or estimated state feedback. The control law is chosen to ensure that the reaching conditions are satisfied. The control structure is ... View full abstract»

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  • Feasible Parameter Set for Bilinear Systems from Records with Bounded Output Errors

    Publication Year: 1991, Page(s):37 - 42
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (442 KB)

    Parameter bounding is a well-founded alternative to classical parameter estimation methods when either statistical hypotheses on the errors are not met or uncertainties are no longer random variables but deterministic ones (e.g. systematic, round-off, truncation errors). So far, many efforts have been devoted to the problem of parameter bounding in linear systems, where exact parameter uncertainty... View full abstract»

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  • Variable Structure Observers for Nonlinear Models with Unbounded Noise and Measurement Uncertainties

    Publication Year: 1991, Page(s):43 - 48
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (339 KB)

    This work extends the applicability of variable structure observers designed for nonlinear systems in two ways. First, it is proved that these observers using a boundary layer scheme can be applied to system models described by Ito differential equations resulting in almost sure and mean square exponential estimation error. Second, the use of variable structure observer is extended to nonlinear me... View full abstract»

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  • A Robust Motion Control of Actuators in Disk Files

    Publication Year: 1991, Page(s):49 - 53
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (368 KB)

    The Versatile Sliding Control (VSC) was applied to an actuator in disk files to provide a fast, accurate, and robust control. The control system was designed to be insensitive to the system uncertainties which include modeling errors and unmodeled dynamics. The modeling errors due to system parameter deviations were completely compensated. The effects of the unmodeled dynamics to the system accura... View full abstract»

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  • A Versatile Sliding Control with a Second-Order Sliding Condition

    Publication Year: 1991, Page(s):54 - 55
    Cited by:  Papers (1)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (196 KB)

    A SISO versatile sliding control with auto-tuning capability is developed that allows for utilization of a low-pass filter for a second-order s dynamics and a high-pass (or band-pass) filter for an error dynamics in series. The control places zeros within the error dynamics and applies a second-order sliding condition. The increased number of control parameters enriches the tuning ability through ... View full abstract»

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  • Robust Output Tracking of Nonlinear MIMO Systems via Sliding Mode Technique

    Publication Year: 1991, Page(s):56 - 57
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (169 KB)

    The robust output tracking control problem of general nonlinear MIMO systems is discussed. The robustness against parameter uncertainties and unknown disturbances is considered A second order sliding mode control (SMC) technique is used to establish the desired tracking. Some earlier SMC strategies which are restricted to the systems in canonical form are extended to much broader class of nonlinea... View full abstract»

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  • An Extended Linearization Approach to Sliding Mode Control of Nonlinear Systems

    Publication Year: 1991, Page(s):58 - 59
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    A new approach, based on the method of Extended Linearization is proposed for the synthesis of Variable Structure feedback control strategies leading to stable linearizing Sliding Regimes for nonlinear dynamical controlled systems. The class of systems, to which this technique is applicable, is assumed to posses a continuum of constant equilibrium points in the input-output space. The approach is ... View full abstract»

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  • Realizing Linear Controllers with Strong Derivative Actions using Sliding Mode Technique

    Publication Year: 1991, Page(s):60 - 61
    Cited by:  Papers (2)
    IEEE is not the copyright holder of this material | Click to expandAbstract | PDF file iconPDF (113 KB)

    A new method is developed to implement a linear continuous data controller using the sliding mode technique. One main advantage of this approach is that the controller can contain differentiators even in face of a substantial amount of output noise. View full abstract»

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