Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach
Uncertainties are ubiquitous and unavoidable in process design and modeling. Because
they can significantly affect the safety, reliability and economic decisions, it is important to …
they can significantly affect the safety, reliability and economic decisions, it is important to …
Knowledge-inspired operational reliability for optimal LNG production at the offshore site
To develop a safe and profitable process, uncertainty quantification is necessary for a
reliability, availability, and maintainability (RAM) analysis. The uncertainties of 3% in each …
reliability, availability, and maintainability (RAM) analysis. The uncertainties of 3% in each …
Uncertainty quantification and global sensitivity analysis of complex chemical processes with a large number of input parameters using compressive polynomial chaos
Uncertainties are ubiquitous and unavoidable in process design and modeling while they
can significantly affect safety, reliability, and economic decisions. The large number of …
can significantly affect safety, reliability, and economic decisions. The large number of …
Computed torque control of fully-actuated nondeterministic multibody systems
S Sabet, M Poursina - Multibody system dynamics, 2017 - Springer
Multibody dynamics plays a key role in the modeling, simulation, design, and control of
many engineering problems. The dynamics of these complex systems can be highly …
many engineering problems. The dynamics of these complex systems can be highly …
Sparse Bayesian learning for data driven polynomial chaos expansion with application to chemical processes
Uncertainties are ubiquitous in process system engineering. Hence, to develop a safe and
profitable process, uncertainty quantification (UQ) is necessary in a reliability, availability …
profitable process, uncertainty quantification (UQ) is necessary in a reliability, availability …
A two-stage approach of multiplicative dimensional reduction and polynomial chaos for global sensitivity analysis and uncertainty quantification with a large number of …
PLT Duong, J Goncalves, E Kwok, M Lee - Journal of the Taiwan Institute …, 2017 - Elsevier
Uncertainties associated with estimates of model parameters are inevitable when simulating
and modeling chemical processes and significantly affect safety, consistency, and decision …
and modeling chemical processes and significantly affect safety, consistency, and decision …
Measuring the effect on chemical processes due to uncertain input states: Uncertainty-cum-sensitivity analysis using a gPC approach
In this study, uncertainty quantification (UQ) of a surrogate model of the complex chemical
process was carried out using generalized polynomial chaos (gPC)-based approach …
process was carried out using generalized polynomial chaos (gPC)-based approach …
[PDF][PDF] Uncertainty quantification and global sensitivity
PLTDW Ali, E Kwok - Reliability Engineering and System Safety, 2012 - academia.edu
Uncertainties are ubiquitous and unavoidable in process design and modeling. Because
they can significantly affect the safety, reliability and economic decisions, it is important to …
they can significantly affect the safety, reliability and economic decisions, it is important to …
[引用][C] Robust Static Output Feedback Controller Design via Chance Constrained Approach
This work addresses the design of robust static output feedback controllers that minimize a
polynomial cost and robustly stabilize systems with uncertain parameters for given …
polynomial cost and robustly stabilize systems with uncertain parameters for given …