The Experts below are selected from a list of 159 Experts worldwide ranked by ideXlab platform

Ruiyun Qi - One of the best experts on this subject based on the ideXlab platform.

  • a Discrete Time Parameter estimation based adaptive actuator failure compensation control scheme
    International Journal of Control, 2013
    Co-Authors: Ruiyun Qi
    Abstract:

    This article studies Discrete-Time adaptive failure compensation control of systems with uncertain actuator failures, using an indirect adaptive control method. A Discrete-Time model of a continuous-Time linear system with actuator failures is derived and its key features are clarified. A new Discrete-Time adaptive actuator failure compensation control scheme is developed, which consists of a total parametrisation of the system with Parameter and failure uncertainties, a stable adaptive Parameter estimation algorithm, and an on-line design procedure for feedback control. This work provides a new design of direct adaptive compensation of uncertain actuator failures, using an indirect adaptive control method. Such an adaptive design ensures desired closed-loop system stability and tracking properties despite uncertain actuator failures. Simulation results are presented to show the desired adaptive actuator failure compensation performance.

  • ACC - A Discrete-Time Parameter estimation based adaptive actuator failure compensation control scheme
    Proceedings of the 2011 American Control Conference, 2011
    Co-Authors: Ruiyun Qi
    Abstract:

    This paper studies Discrete-Time adaptive failure compensation control of systems with uncertain actuator failures, using an indirect adaptive control method. A Discrete-Time model of a continuous-Time linear system with actuator failures is derived and its key features are clarified. A new Discrete-Time adaptive actuator failure compensation control scheme is developed, which consists of a total parametrization of the system with Parameter and failure uncertainties, a stable adaptive Parameter estimation algorithm, and an on-line design procedure for feedback control. This work represents a new design of direct adaptive compensation of uncertain actuator failures, using an indirect adaptive control method. Such an adaptive design ensures desired closed-loop system stability and asymptotic tracking properties despite uncertain actuator failures. Simulation results are presented to show the desired adaptive actuator failure compensation performance.

  • A Discrete-Time Parameter estimation based adaptive actuator failure compensation control scheme
    Proceedings of the 2011 American Control Conference, 2011
    Co-Authors: Ruiyun Qi
    Abstract:

    This paper studies Discrete-Time adaptive failure compensation control of systems with uncertain actuator failures, using an indirect adaptive control method. A Discrete Time model of a continuous-Time linear system with actuator failures is derived and its key features are clarified. A new Discrete-Time adaptive actuator failure compensation control scheme is developed, which consists of a total parametrization of the system with Parameter and failure uncertainties, a stable adaptive Parameter estimation algorithm, and an on-line design procedure for feedback control. This work represents a new design of direct adaptive compensation of uncertain actuator failures, using an indirect adaptive control method. Such an adaptive design ensures desired closed-loop system stability and asymptotic tracking properties despite uncertain actuator failures. Simulation results are presented to show the desired adaptive actuator failure compensation performance.

Luis Herrera - One of the best experts on this subject based on the ideXlab platform.

  • Detection of Series DC Arc on a Distribution Node using Discrete-Time Parameter Identification Techniques
    2019 IEEE Applied Power Electronics Conference and Exposition (APEC), 2019
    Co-Authors: Kaushik K Gajula, Luis Herrera
    Abstract:

    Discrete-Time Parameter identification techniques are studied extensively and are implemented to detect and localize the series arc discharge on a multi-load distribution node. The techniques include Recursive Least Squares (RLS) and the Kalman Filter (KF) which by estimating the line Parameters - resistance and inductance will help monitor their condition. The systems electrical components vary abruptly during an arc discharge on a line of the grid. This disturbance from the arc discharge also travels to the adjacent loads and lines. The RLS and KF will then act as detectors functioning on a line and consequently help localize the faulted line/load. The two mentioned techniques delineate the variation in values of the grid Parameters even for a large noisy arc.

Alessandro Serpi - One of the best experts on this subject based on the ideXlab platform.

  • Discrete-Time Parameter Identification of a Surface-Mounted Permanent Magnet Synchronous Machine
    IEEE Transactions on Industrial Electronics, 2013
    Co-Authors: Gianluca Gatto, Ignazio Marongiu, Alessandro Serpi
    Abstract:

    A novel online Discrete-Time Parameter identification algorithm suitable for surface-mounted permanent magnet synchronous machines (SPMs) is presented in this paper. It is developed by means of the model reference adaptive system technique and the Popov Hyperstability Criterion in order to identify SPM Discrete-Time model Parameters. In particular, good accuracy of Discrete-Time Parameters is required by digital control systems, particularly by predictive control algorithms, which present a low robustness against Parameter mismatches. Hence, an extensive simulation study is first carried out in the Matlab Simulink environment with the aim of testing the effectiveness and robustness of the proposed identification algorithm against inverter unidealities. Then, the proposed identification procedure is experimentally validated on a predictive controlled radial-flux SPM, driven by a field programmable gate arrays control board.

S.l. Kukreja - One of the best experts on this subject based on the ideXlab platform.

  • Nonlinear System Identification for Aeroelastic Systems with Application to Experimental Data
    2013
    Co-Authors: S.l. Kukreja
    Abstract:

    Representation and identification of a nonlinear aeroelastic pitch-plunge system as a model of the Nonlinear AutoRegressive, Moving Average eXogenous (NARMAX) class is considered. A nonlinear difference equation describing this aircraft model is derived theoretically and shown to be of the NARMAX form. Identification methods for NARMAX models are applied to aeroelastic dynamics and its properties demonstrated via continuous-Time simulations of experimental conditions. Simulation results show that (1) the outputs of the NARMAX model closely match those generated using continuous-Time methods, and (2) NARMAX identification methods applied to aeroelastic dynamics provide accurate Discrete-Time Parameter estimates. Application of NARMAX identification to experimental pitch-plunge dynamics data gives a high percent fit for cross-validated data.

  • Nonlinear aeroelastic system identification with application to experimental data
    Journal of Guidance Control and Dynamics, 2006
    Co-Authors: S.l. Kukreja, Martin J. Brenner
    Abstract:

    Representation and identification of a nonlinear aeroelastic pitch-plunge system as a model of the NARMAX class is considered. A nonlinear difference equation describing this aircraft model is derived theoretically and shown to be of the NARMAX form. Identification methods for NARMAX models are applied to aeroelastic dynamics and their properties demonstrated via continuous-Time simulations of experimental conditions. Simulation results show that 1) the outputs of the NARMAX model closely match those generated using continuous-Time methods and 2) NARMAX identification methods applied to aeroelastic dynamics provide accurate Discrete-Time Parameter estimates. Application of NARMAX identification to experimental pitch-plunge dynamics data gives a high percent fit for cross-validated data.

  • NARMAX representation and identification of ankle dynamics
    IEEE Transactions on Biomedical Engineering, 2003
    Co-Authors: S.l. Kukreja, H.l. Galiana, R.e. Kearney
    Abstract:

    Representation and identification of a parallel pathway description of ankle dynamics as a model of the nonlinear autoregressive, moving average exogenous (NARMAX) class is considered. A nonlinear difference equation describing this ankle model is derived theoretically and shown to be of the NARMAX form. Identification methods for NARMAX models are applied to ankle dynamics and its properties investigated via continuous-Time simulations of experimental conditions. Simulation results show that 1) the outputs of the NARMAX model match closely those generated using continuous-Time methods and 2) NARMAX identification methods applied to ankle dynamics provide accurate Discrete-Time Parameter estimates. Application of NARMAX identification to experimental human ankle data models with high cross-validation variance accounted for.

Karina A Barbosa - One of the best experts on this subject based on the ideXlab platform.

  • brief paper robust h filter design for a class of Discrete Time Parameter varying systems
    Automatica, 2009
    Co-Authors: D F Coutinho, Carlos E. De Souza, Karina A Barbosa
    Abstract:

    This paper proposes a robust H"~ filter design method for Discrete-Time linear Parameter varying systems with the state-space model matrices depending rationally on Time-varying Parameters. The system is described by a difference-algebraic representation and the Parameters admissible values and variations are assumed to belong to given intervals. A convex optimization approach in terms of linear matrix inequalities is devised for designing robust filters. The filter design is based on Lyapunov functions with rational dependence on the system Parameters and incorporates information on available bounds on the Parameters variation. The proposed method can be also applied to the design of gain-scheduled H"~ filters. Numerical examples illustrate the effectiveness of the proposed filter design.

  • Brief paper: Robust H∞ filter design for a class of Discrete-Time Parameter varying systems
    Automatica, 2009
    Co-Authors: Daniel Coutinho, Carlos E. De Souza, Karina A Barbosa
    Abstract:

    This paper proposes a robust H"~ filter design method for Discrete-Time linear Parameter varying systems with the state-space model matrices depending rationally on Time-varying Parameters. The system is described by a difference-algebraic representation and the Parameters admissible values and variations are assumed to belong to given intervals. A convex optimization approach in terms of linear matrix inequalities is devised for designing robust filters. The filter design is based on Lyapunov functions with rational dependence on the system Parameters and incorporates information on available bounds on the Parameters variation. The proposed method can be also applied to the design of gain-scheduled H"~ filters. Numerical examples illustrate the effectiveness of the proposed filter design.