The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform

Wanqing Xie - One of the best experts on this subject based on the ideXlab platform.

  • state and Mode feedback control for discrete time markovian jump linear systems with Controllable mtpm
    IEEE CAA Journal of Automatica Sinica, 2019
    Co-Authors: Jin Zhu, Qin Ding, Maksym Spiryagin, Wanqing Xie
    Abstract:

    In this note, the state and Mode feedback control problems for a class of discrete-time Markovian jump linear systems ( MJLSs ) with Controllable Mode transition probability matrix ( MTPM ) are investigated. In most achievements, controller design of MJLSs pays more attention to state / output feedback control for stability, while the system cost in practice is out of consideration. In this paper, we propose a control mechanism consisting of two parts: finite-path-dependent state feedback controller design with which uniform stability of MJLSs can be ensured, and Mode feedback control which aims to decrease system cost. Differing from the traditional state / output feedback controller design, the main novelty is that the proposed control mechanism not only guarantees system stability, but also decreases system cost effectively by adjusting the occurrence probability of system Modes. The effectiveness of the proposed mechanism is illustrated via numerical examples.

Jin Zhu - One of the best experts on this subject based on the ideXlab platform.

  • state and Mode feedback control for discrete time markovian jump linear systems with Controllable mtpm
    IEEE CAA Journal of Automatica Sinica, 2019
    Co-Authors: Jin Zhu, Qin Ding, Maksym Spiryagin, Wanqing Xie
    Abstract:

    In this note, the state and Mode feedback control problems for a class of discrete-time Markovian jump linear systems ( MJLSs ) with Controllable Mode transition probability matrix ( MTPM ) are investigated. In most achievements, controller design of MJLSs pays more attention to state / output feedback control for stability, while the system cost in practice is out of consideration. In this paper, we propose a control mechanism consisting of two parts: finite-path-dependent state feedback controller design with which uniform stability of MJLSs can be ensured, and Mode feedback control which aims to decrease system cost. Differing from the traditional state / output feedback controller design, the main novelty is that the proposed control mechanism not only guarantees system stability, but also decreases system cost effectively by adjusting the occurrence probability of system Modes. The effectiveness of the proposed mechanism is illustrated via numerical examples.

Qin Ding - One of the best experts on this subject based on the ideXlab platform.

  • state and Mode feedback control for discrete time markovian jump linear systems with Controllable mtpm
    IEEE CAA Journal of Automatica Sinica, 2019
    Co-Authors: Jin Zhu, Qin Ding, Maksym Spiryagin, Wanqing Xie
    Abstract:

    In this note, the state and Mode feedback control problems for a class of discrete-time Markovian jump linear systems ( MJLSs ) with Controllable Mode transition probability matrix ( MTPM ) are investigated. In most achievements, controller design of MJLSs pays more attention to state / output feedback control for stability, while the system cost in practice is out of consideration. In this paper, we propose a control mechanism consisting of two parts: finite-path-dependent state feedback controller design with which uniform stability of MJLSs can be ensured, and Mode feedback control which aims to decrease system cost. Differing from the traditional state / output feedback controller design, the main novelty is that the proposed control mechanism not only guarantees system stability, but also decreases system cost effectively by adjusting the occurrence probability of system Modes. The effectiveness of the proposed mechanism is illustrated via numerical examples.

Maksym Spiryagin - One of the best experts on this subject based on the ideXlab platform.

  • state and Mode feedback control for discrete time markovian jump linear systems with Controllable mtpm
    IEEE CAA Journal of Automatica Sinica, 2019
    Co-Authors: Jin Zhu, Qin Ding, Maksym Spiryagin, Wanqing Xie
    Abstract:

    In this note, the state and Mode feedback control problems for a class of discrete-time Markovian jump linear systems ( MJLSs ) with Controllable Mode transition probability matrix ( MTPM ) are investigated. In most achievements, controller design of MJLSs pays more attention to state / output feedback control for stability, while the system cost in practice is out of consideration. In this paper, we propose a control mechanism consisting of two parts: finite-path-dependent state feedback controller design with which uniform stability of MJLSs can be ensured, and Mode feedback control which aims to decrease system cost. Differing from the traditional state / output feedback controller design, the main novelty is that the proposed control mechanism not only guarantees system stability, but also decreases system cost effectively by adjusting the occurrence probability of system Modes. The effectiveness of the proposed mechanism is illustrated via numerical examples.

Xie Wanqing - One of the best experts on this subject based on the ideXlab platform.

  • State and Mode feedback control for discrete-time Markovian jump linear systems with Controllable MTPM
    'Institute of Electrical and Electronics Engineers (IEEE)', 2019
    Co-Authors: Zhu Jin, Ding Qin, Spiryagin Maksym, Xie Wanqing
    Abstract:

    Spiryagin, M ORCiD: 0000-0003-1197-898XIn this note, the state and Mode feedback control problems for a class of discrete-time Markovian jump linear systems x0028 MJLSs x0029 with Controllable Mode transition probability matrix x0028 MTPM x0029 are investigated. In most achievements, controller design of MJLSs pays more attention to state x002F output feedback control for stability, while the system cost in practice is out of consideration. In this paper, we propose a control mechanism consisting of two parts: finite-path-dependent state feedback controller design with which uniform stability of MJLSs can be ensured, and Mode feedback control which aims to decrease system cost. Differing from the traditional state x002F output feedback controller design, the main novelty is that the proposed control mechanism not only guarantees system stability, but also decreases system cost effectively by adjusting the occurrence probability of system Modes. The effectiveness of the proposed mechanism is illustrated via numerical examples. © 2014 Chinese Association of Automation