Identification of a Stochastic Dynamic Model for Aircraft Flight Attitude Based on Measured Data

System identification method based on interpretable machine learning for unknown aircraft dynamics

(2022) Rui Cao et al.   AEROSPACE SCIENCE AND TECHNOLOGY

An improved online system identification method for tiltrotor aircraft

(2021) Wei Wu et al.   AEROSPACE SCIENCE AND TECHNOLOGY

Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties

(2021) Onder Tutsoy et al.   DIGITAL SIGNAL PROCESSING

Multirotors From Takeoff to Real-Time Full Identification Using the Modified Relay Feedback Test and Deep Neural Networks

(2021) Abdulla Ayyad et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

The tipping times in an Arctic sea ice system under influence of extreme events

(2020) Fang Yang et al.   CHAOS

Estimation of aerodynamic parameters near stall using maximum likelihood and extreme learning machine-based methods

(2020) H.O. Verma et al.   AERONAUTICAL JOURNAL

Mathematical analysis for stochastic model of Alzheimer’s disease

(2020) Yongxin Zhang et al.   Communications in Nonlinear Science and Numerical Simulation

Flight dynamics modeling of elastic aircraft using signal decomposition methods

(2019) Seyed Amin Bagherzadeh   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING

Noise-induced early afterdepolarizations in a three-dimensional cardiac action potential model

(2019) E. Slepukhina et al.   CHAOS SOLITONS & FRACTALS

Data-driven discovery of partial differential equations

(2017) Samuel H. Rudy et al.   Science Advances

Stochastic Bifurcations and Noise-Induced Chaos in 3D Neuron Model

(2016) Irina Bashkirtseva et al.   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

Review of uncertainty-based multidisciplinary design optimization methods for aerospace vehicles

(2011) Wen Yao et al.   PROGRESS IN AEROSPACE SCIENCES