Soft-bound interval control system and its robust fault-tolerant controller design

Jinglin Zhou, Hong Yue

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In this work, a soft-bound interval control problem is proposed for general non-Gaussian systems with the aim to control the output variable within a bounded region at a specified probability level. To find a feasible solution to this challenging task, the initial soft-bound interval control problem has been transformed into an output probability density function (PDF) tracking control problem with constrained tracking errors, thereby the controller design can be handled under the established framework of stochastic distribution control (SDC). Fault tolerant control has been developed for soft-bound interval control systems in presence of faults. Three fault detection methods have been proposed based on criteria extracted from the initial soft-bound control problem and the recast PDF tracking problem. An integrated design for fault estimation and fault tolerant control (FTC) is proposed based on a double proportional integral (PI) structure. This integrated FTC is developed through linear matrix inequality (LMI). Extensive simulation studies have been conducted to examine key design factors, implementation issues and effectiveness of the proposed approach.
Original languageEnglish
Number of pages13
JournalIEEE Transactions on Systems Man and Cybernetics: Systems
Early online date19 Oct 2018
Publication statusE-pub ahead of print - 19 Oct 2018


  • non-Gaussian systems
  • soft-bound control
  • stochastic distribution control (SDC)
  • probability density function (PDF)
  • fault detection
  • fault tolerant control (FTC)

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