The Experts below are selected from a list of 264 Experts worldwide ranked by ideXlab platform

Moncef Gabbouj - One of the best experts on this subject based on the ideXlab platform.

  • Wavelet-based corner detection technique using optimal scale
    Pattern Recognition Letters, 2002
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based: corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. Eigenvector corresponding to Dominant Eigenvalue is considered as the optimal scale. The corners are detected at the locations corresponding to modulus maxima. Results indicate the suitability of the approach. Comparison with a recently proposed technique is also provided. (C) 2002 Elsevier Science B.V. All rights reserved

  • Wavelet-based corner detection technique using optimal scale
    Pattern Recognition Letters, 2001
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. Eigenvector corresponding to Dominant Eigenvalue is considered as the optimal scale. The corners are detected at the locations corresponding to modulus maxima. Results indicate the suitability of the approach. Comparison with a recently proposed technique is also provided.

  • ICASSP - Wavelet based corner detection using singular value decomposition
    2000 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.00CH37100), 1
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in the discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. The eigenvector corresponding to the Dominant Eigenvalue is considered as the natural scale. The corners are detected at the locations corresponding to modulus maxima. Results show the suitability of the approach. Comparison with a recently proposed technique is also provided.

A.a. Desrochers - One of the best experts on this subject based on the ideXlab platform.

  • A stochastic Petri net synthesis method with known lower bound of the second Dominant Eigenvalue
    Proceedings of 1995 IEEE International Conference on Robotics and Automation, 1995
    Co-Authors: A.a. Desrochers
    Abstract:

    Stochastic Petri nets are widely used to get the steady state performance of a discrete event dynamic system. This is usually done with little concern about how fast the system reaches its steady state. The length of the transient state is known as the rise time in control theory or, the relaxation time in a Markov process. These are governed by the Eigenvalue called the second Dominant Eigenvalues. Also, the separation of the most Dominant and second Dominant Eigenvalue plays a role in the convergence of the numerical solution of the Markov process. A stochastic Petri net synthesis method which preserves the ergodicity and the irreducibility of the underlying Markov process, and gives the lower bound of the second Dominant Eigenvalue and the number of states is proposed.

  • ICRA - A stochastic Petri net synthesis method with known lower bound of the second Dominant Eigenvalue
    Proceedings of 1995 IEEE International Conference on Robotics and Automation, 1
    Co-Authors: Jongwook Kim, A.a. Desrochers
    Abstract:

    Stochastic Petri nets are widely used to get the steady state performance of a discrete event dynamic system. This is usually done with little concern about how fast the system reaches its steady state. The length of the transient state is known as the rise time in control theory or, the relaxation time in a Markov process. These are governed by the Eigenvalue called the second Dominant Eigenvalues. Also, the separation of the most Dominant and second Dominant Eigenvalue plays a role in the convergence of the numerical solution of the Markov process. A stochastic Petri net synthesis method which preserves the ergodicity and the irreducibility of the underlying Markov process, and gives the lower bound of the second Dominant Eigenvalue and the number of states is proposed.

Azhar Quddus - One of the best experts on this subject based on the ideXlab platform.

  • Wavelet-based corner detection technique using optimal scale
    Pattern Recognition Letters, 2002
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based: corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. Eigenvector corresponding to Dominant Eigenvalue is considered as the optimal scale. The corners are detected at the locations corresponding to modulus maxima. Results indicate the suitability of the approach. Comparison with a recently proposed technique is also provided. (C) 2002 Elsevier Science B.V. All rights reserved

  • Wavelet-based corner detection technique using optimal scale
    Pattern Recognition Letters, 2001
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. Eigenvector corresponding to Dominant Eigenvalue is considered as the optimal scale. The corners are detected at the locations corresponding to modulus maxima. Results indicate the suitability of the approach. Comparison with a recently proposed technique is also provided.

  • ICASSP - Wavelet based corner detection using singular value decomposition
    2000 IEEE International Conference on Acoustics Speech and Signal Processing. Proceedings (Cat. No.00CH37100), 1
    Co-Authors: Azhar Quddus, Moncef Gabbouj
    Abstract:

    In this paper we present a novel technique for wavelet-based corner detection using singular value decomposition (SVD). Here SVD facilitates the selection of global natural scale in the discrete wavelet transform. We define natural scale as the level associated with most prominent (Dominant) Eigenvalue. The eigenvector corresponding to the Dominant Eigenvalue is considered as the natural scale. The corners are detected at the locations corresponding to modulus maxima. Results show the suitability of the approach. Comparison with a recently proposed technique is also provided.

Honghai Wang - One of the best experts on this subject based on the ideXlab platform.

  • discrete time filter proportional integral derivative controller design for linear time invariant systems
    Automatica, 2020
    Co-Authors: Honghai Wang, Qinglong Han, Jianchang Liu
    Abstract:

    Abstract This paper introduces a new discrete-time filter proportional–integral–derivative (FPID) controller framework for linear time-invariant (LTI) systems. The discrete-time FPID controller plays an important role in both determining the dynamic response of the system and further improving the performance of the controller in itself. However, the introduction of the filter parameter brings more challenge for the design of discrete-time FPID controllers than that of discrete-time PID controllers. A novel result on the co-design of such a controller via Dominant Eigenvalue assignment is first provided, which enables us to tune the controller directly in accordance with the desired system performance indexes. Then, a further result on the discrete-time FPID controller design to improve the dynamic response of the closed-loop system is derived by placing the non-Dominant Eigenvalues in some assigned region. Compared with the discrete-time PID controller, on the one hand, the discrete-time FPID controller plays a significant role in improving the output of the controller in addition to guaranteeing the desired dynamic performance of the closed-loop system. On the other hand, a discrete-time FPID controller makes it possible to expand the effective parameter region and give a set of parameters which makes the controller achieve the objective of Dominant Eigenvalue assignment for the closed-loop system when a traditional discrete-time PID controller cannot do. Numerical examples have illustrated the effectiveness of the proposed results.

  • Discrete-time filter proportional–integral–derivative controller design for linear time-invariant systems
    Automatica, 2020
    Co-Authors: Honghai Wang, Qinglong Han, Jianchang Liu
    Abstract:

    Abstract This paper introduces a new discrete-time filter proportional–integral–derivative (FPID) controller framework for linear time-invariant (LTI) systems. The discrete-time FPID controller plays an important role in both determining the dynamic response of the system and further improving the performance of the controller in itself. However, the introduction of the filter parameter brings more challenge for the design of discrete-time FPID controllers than that of discrete-time PID controllers. A novel result on the co-design of such a controller via Dominant Eigenvalue assignment is first provided, which enables us to tune the controller directly in accordance with the desired system performance indexes. Then, a further result on the discrete-time FPID controller design to improve the dynamic response of the closed-loop system is derived by placing the non-Dominant Eigenvalues in some assigned region. Compared with the discrete-time PID controller, on the one hand, the discrete-time FPID controller plays a significant role in improving the output of the controller in addition to guaranteeing the desired dynamic performance of the closed-loop system. On the other hand, a discrete-time FPID controller makes it possible to expand the effective parameter region and give a set of parameters which makes the controller achieve the objective of Dominant Eigenvalue assignment for the closed-loop system when a traditional discrete-time PID controller cannot do. Numerical examples have illustrated the effectiveness of the proposed results.

  • PID controller tuning for neutral type systems with time delay via Dominant Eigenvalue assignment
    2017 29th Chinese Control And Decision Conference (CCDC), 2017
    Co-Authors: Honghai Wang, Xia Yu, Yu Zhang
    Abstract:

    This paper considers the problem of proportional-integral-derivative (PID) controller design for a closed-loop feedback system with time delay according some desired performance indexes. In this study, the characteristic equation of the closed-loop system is considered as that of a neutral type system with time delay. Besides, it is expected that the step response of the closed-loop systems has no overshoot. To achieve the objective of control, combining with Smith Predictor, we propose a new approach on the PID controller design for a neutral type delay system via Dominant Eigenvalue assignment. Such a method can make the performance of the system very close to the desired performance indexes for a standard first-order system. A numerical example is given to illustrate the effectiveness of the proposed approach.

  • new result on pid controller design of lti systems via Dominant Eigenvalue assignment
    Automatica, 2015
    Co-Authors: Honghai Wang, Yu Zhang
    Abstract:

    This note considers the problem of assigning the Dominant Eigenvalues of a linear time-invariant (LTI) system to the desired positions by using proportional-integral-derivative (PID) controllers. The procedure is based on first setting some rightmost Eigenvalues of the system at the desired positions and then guaranteeing the dominance of those rightmost Eigenvalues by using the generalization of the Hermite-Biehler Theorem. It is worth pointing out that this work aims to ascertain the gains of PID controllers in a straightforwardly computational way which plays an important role in practical applications.

Jianchang Liu - One of the best experts on this subject based on the ideXlab platform.

  • discrete time filter proportional integral derivative controller design for linear time invariant systems
    Automatica, 2020
    Co-Authors: Honghai Wang, Qinglong Han, Jianchang Liu
    Abstract:

    Abstract This paper introduces a new discrete-time filter proportional–integral–derivative (FPID) controller framework for linear time-invariant (LTI) systems. The discrete-time FPID controller plays an important role in both determining the dynamic response of the system and further improving the performance of the controller in itself. However, the introduction of the filter parameter brings more challenge for the design of discrete-time FPID controllers than that of discrete-time PID controllers. A novel result on the co-design of such a controller via Dominant Eigenvalue assignment is first provided, which enables us to tune the controller directly in accordance with the desired system performance indexes. Then, a further result on the discrete-time FPID controller design to improve the dynamic response of the closed-loop system is derived by placing the non-Dominant Eigenvalues in some assigned region. Compared with the discrete-time PID controller, on the one hand, the discrete-time FPID controller plays a significant role in improving the output of the controller in addition to guaranteeing the desired dynamic performance of the closed-loop system. On the other hand, a discrete-time FPID controller makes it possible to expand the effective parameter region and give a set of parameters which makes the controller achieve the objective of Dominant Eigenvalue assignment for the closed-loop system when a traditional discrete-time PID controller cannot do. Numerical examples have illustrated the effectiveness of the proposed results.

  • Discrete-time filter proportional–integral–derivative controller design for linear time-invariant systems
    Automatica, 2020
    Co-Authors: Honghai Wang, Qinglong Han, Jianchang Liu
    Abstract:

    Abstract This paper introduces a new discrete-time filter proportional–integral–derivative (FPID) controller framework for linear time-invariant (LTI) systems. The discrete-time FPID controller plays an important role in both determining the dynamic response of the system and further improving the performance of the controller in itself. However, the introduction of the filter parameter brings more challenge for the design of discrete-time FPID controllers than that of discrete-time PID controllers. A novel result on the co-design of such a controller via Dominant Eigenvalue assignment is first provided, which enables us to tune the controller directly in accordance with the desired system performance indexes. Then, a further result on the discrete-time FPID controller design to improve the dynamic response of the closed-loop system is derived by placing the non-Dominant Eigenvalues in some assigned region. Compared with the discrete-time PID controller, on the one hand, the discrete-time FPID controller plays a significant role in improving the output of the controller in addition to guaranteeing the desired dynamic performance of the closed-loop system. On the other hand, a discrete-time FPID controller makes it possible to expand the effective parameter region and give a set of parameters which makes the controller achieve the objective of Dominant Eigenvalue assignment for the closed-loop system when a traditional discrete-time PID controller cannot do. Numerical examples have illustrated the effectiveness of the proposed results.