Bibliografie
Conference Paper (international conference)
Active Fault Detection Based on Tensor Train Decomposition
, ,
: IFAC-PapersOnLine. Volume 58, Issue 4 -12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2024, p. 676-681
: IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes, Safe Process 2024 /12./, (Ferrara, IT, 20240604)
: GA22-11101S, GA ČR
: active fault detection, tensor decomposition, value iteration
: 10.1016/j.ifacol.2024.07.297
: https://library.utia.cas.cz/separaty/2024/SI/tichavsky-0598043.pdf
(eng): The paper deals with the use of tensor train decomposition for active fault detection of stochastic systems. The faulty and faulty-free behavior of the system is represented using multiple models. A non-rectangular grid in the space of the information state is proposed. An approximate Bellman function is represented using the tensor train decomposition and is calculated using the value iteration algorithm.
: IN
: 20204