Search Results - "UNBEHAUEN, ROLF"

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  1. 1

    Iterative learning neural network control for nonlinear system trajectory tracking by Jiang, Ping, Unbehauen, .Rolf

    Published in Neurocomputing (Amsterdam) (01-10-2002)
    “…This paper presents a neural network control scheme for tracking a non-periodic trajectory with a finite time interval from the view point of the iterative…”
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    Journal Article
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    A minor component analysis algorithm by LUO, F.-L, UNBEHAUEN, R, CICHOCKI, A

    Published in Neural networks (01-03-1997)
    “…The eigenvectors corresponding to the smallest eigenvalues of the autocorrelation matrix of the input signals are defined as the minor components, which play a…”
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    Journal Article
  3. 3

    Comments on: A unified algorithm for principal and minor components extraction by Luo, Fa-Long, Unbehauen, Rolf

    Published in Neural networks (01-03-1999)
    “…This letter points out that the unified algorithm given by Chen et al. (Chen, T., Amari, S., & Lin, Q. (1998). Neural Networks, 11, 385–390) is a direct…”
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    Journal Article
  4. 4

    Stochastic stability of the discrete-time extended Kalman filter by Reif, K., Gunther, S., Yaz, E., Unbehauen, R.

    Published in IEEE transactions on automatic control (01-04-1999)
    “…The authors analyze the error behavior for the discrete-time extended Kalman filter for general nonlinear systems in a stochastic framework. In particular, it…”
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    Journal Article
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    The extended Kalman filter as an exponential observer for nonlinear systems by Reif, K., Unbehauen, R.

    Published in IEEE transactions on signal processing (01-08-1999)
    “…We analyze the behavior of the extended Kalman filter as a state estimator for nonlinear deterministic systems. Using the direct method of Lyapunov, we prove…”
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    Journal Article
  6. 6

    An EKF-Based Nonlinear Observer with a Prescribed Degree of Stability by REIF, KONRAD, SONNEMANN, FRANK, UNBEHAUEN, ROLF

    Published in Automatica (Oxford) (01-09-1998)
    “…The topic of this article is a nonlinear observer based on a slight modification of the extended Kalman filter. The purpose of this modification is twofold:…”
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    Journal Article
  7. 7

    Design of Optimal Comb FIR Filters-Speed and Robustness by Zahradnik, P., Vlcek, M., Unbehauen, R.

    Published in IEEE signal processing letters (01-06-2009)
    “…An extension to the analytical design of digital equiripple comb FIR filters is presented here. The filters are optimal in Chebyshev sense. The design runs…”
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    Journal Article
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    Least-squares approximation of FIR by IIR digital filters by Brandenstein, H., Unbehauen, R.

    Published in IEEE transactions on signal processing (01-01-1998)
    “…An algorithm is presented for the least-squares approximation of FIR filters by IIR filters. The algorithm is an iterative procedure where each iteration…”
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    Journal Article
  10. 10

    Zolotarev polynomials and optimal FIR filters by Vlcek, M., Unbehauen, R.

    Published in IEEE transactions on signal processing (01-03-1999)
    “…The algebraic form of Zolotarev polynomials refraining from their parametric representation is introduced. A recursive algorithm providing the coefficients for…”
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    Journal Article
  11. 11

    Weighted least-squares approximation of FIR by IIR digital filters by Brandenstein, H., Unbehauen, R.

    Published in IEEE transactions on signal processing (01-03-2001)
    “…This paper presents a method for the weighted least-squares approximation of finite impulse response (FIR) filters by infinite impulse response (IIR) filters…”
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    Journal Article
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    Nonlinear state observation using H-infinity-filtering Riccati design by Reif, Konrad, Sonnemann, Frank, Unbehauen, Rolf

    Published in IEEE transactions on automatic control (01-01-1999)
    “…The authors propose an observer for continuous-time nonlinear systems. The observer gain is computed by a Riccati differential equation similar to the extended…”
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    Journal Article
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    Analytical design of FIR filters by Vlcek, M., Zahradnik, P., Unbehauen, R.

    Published in IEEE transactions on signal processing (01-09-2000)
    “…A new recursive algorithm for the impulse response coefficients of a FIR lowpass filter is developed. The algorithm is obtained from the differential equation…”
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    Journal Article
  16. 16

    Schur stability of polytopes of bivariate polynomials by Xiao, Yang, Unbehauen, R.

    “…Necessary and sufficient conditions for Schur stability of polytopes of bivariate polynomials have been established. Based on a simplification, the…”
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    Journal Article
  17. 17

    Error boundedness for the CGEKF with exponential data weighting by Gunther, Stefan, Reif, Konrad, Unbehauen, Rolf

    Published in 1999 European Control Conference (ECC) (01-08-1999)
    “…This paper is on the constant gain extended Kalman filter (CGEKF) with exponential data weighting as a state estimator for nonlinear stochastic systems. In…”
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    Conference Proceeding
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    New stability test algorithm for two-dimensional digital filters by Xiao Yang, Unbehauen, R.

    “…A new stability test algorithm for two-dimensional (2-D) digital filters is proposed, which uses the inner term polynomials of the corresponding 2-D test…”
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    Journal Article