Event-triggered networked fault detection for positive Markovian systems
S Xiao, Y Zhang, B Zhang - Signal Processing, 2019 - Elsevier
The problem of event-triggered networked fault detection for positive systems with
Markovian parameters is investigated in this paper. A dynamic linear event-triggered …
Markovian parameters is investigated in this paper. A dynamic linear event-triggered …
Dynamic relationship analysis between NAFTA stock markets using nonlinear, nonparametric, non-stationary methods
JM Polanco-Martínez - Nonlinear Dynamics, 2019 - Springer
This paper seeks to investigate the dynamic relationship between daily stock market indices
in NAFTA countries from 8 November 1991 to 16 March 2018, using for the first time …
in NAFTA countries from 8 November 1991 to 16 March 2018, using for the first time …
Fault detection for vehicle active suspension systems in finite‐frequency domain
This study solves a new fault detection strategy for vehicle active suspension systems in
finite‐frequency domain. Three fault detection filters are constructed in different finite …
finite‐frequency domain. Three fault detection filters are constructed in different finite …
Sensor fault estimation in finite-frequency domain for nonlinear time-delayed systems by T–S fuzzy model approach with local nonlinear models
This paper investigates the sensor fault estimation problem in finite-frequency domain for
nonlinear time-delayed systems via T–S fuzzy approach with local nonlinear models. First, to …
nonlinear time-delayed systems via T–S fuzzy approach with local nonlinear models. First, to …
Network-Based State Estimation for Neural Networks Using Limited Measurement
This chapter is concerned with the network-based H _ ∞ H∞ state estimation problem for
neural networks. Because of network constraints, we consider that transmitted …
neural networks. Because of network constraints, we consider that transmitted …