Fault Tolerant Control for Non-Gaussian Stochastic Distribution Systems

• Published in: Circuits, systems, and signal processing Vol. 32; no. 1; pp. 361 - 373
• Main Authors: Qu, Yi, Li, Zhan-Ming, Li, Er-Chao
• Format: Journal Article
• Language: English
• Published: Boston SP Birkhäuser Verlag Boston 01.02.2013; Springer Nature B.V
• Subjects: Attenuation; Circuits and Systems; Control systems; Disturbances; Electrical Engineering; Electronics and Microelectronics; Engineering; Fault tolerance; Faults; Instrumentation; Neural networks; Nonlinear dynamics; Normal distribution; Probability density functions; Short Paper; Signal,Image and Speech Processing; Linear matrix inequality; Non-Gaussian stochastic distribution control systems; Probability density functions; Radial basis functions neural networks; Fault tolerant control

A new fault tolerant control (FTC) problem via the output probability density functions (PDFs) for non-Gaussian stochastic distribution control systems (SDC) is investigated. The PDFs can be approximated by the radial basis functions (RBFs) of neural networks. Differently from the conventional FTC p...