4.7 Article

Fault-tolerant control of Markovian jump stochastic systems via the augmented sliding mode observer approach

期刊

AUTOMATICA
卷 50, 期 7, 页码 1825-1834

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2014.04.006

关键词

Stochastic system; Markovian parameters; Fault tolerant control; Sensor fault; Actuator fault; Sliding mode observer

资金

  1. National Natural Science Foundation of China [61333012, 61273201, 61203002, 61203123, 61020106003]
  2. Program for New Century Excellent Talents in University [NCET-13-0696]
  3. NKTSP [2012BAF19G00]
  4. Key Laboratory of Integrated Automation for the Process Industry
  5. Northeast University
  6. 111 Project [B08015, B12018]
  7. Australian Research Council [DP140102180]

向作者/读者索取更多资源

This paper is concerned with the stabilization problem for a class of Markovian stochastic jump systems against sensor fault, actuator fault and input disturbances simultaneously. In the proposed approach, the original plant is first augmented into a new descriptor system, where the state vector, disturbance vector and fault vector are assembled into the state vector of the new system. Then, a novel augmented sliding mode observer is presented for the augmented system and is utilized to eliminate the effects of sensor faults and disturbances. An observer-based mode-dependent control scheme is developed to stabilize the resulting overall closed-loop jump system. A practical example is given to illustrate the effectiveness of the proposed design methodology. (C) 2014 Published by Elsevier Ltd.

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