Fengxia Zhang
Orcid: 0009-0001-2854-6887
According to our database1,
Fengxia Zhang
authored at least 34 papers
between 2011 and 2024.
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Bibliography
2024
The forward rounding error analysis of the partial pivoting quaternion LU decomposition.
Numer. Algorithms, May, 2024
Resilience improvement of cyber-physical supply chain networks considering cascading failures with mixed failure modes.
Comput. Ind. Eng., January, 2024
Design of all feasible output feedback controllers for robust output tracking of Boolean control networks.
Trans. Inst. Meas. Control, 2024
Optimal maintenance over a finite time horizon for a system under imperfect inspection and dynamic working environment.
Reliab. Eng. Syst. Saf., 2024
Robust Set Stability for Switched Boolean Networks Under One-Bit Function Perturbation.
IEEE Access, 2024
2023
An efficient real structure-preserving algorithm for the quaternion weighted least squares problem with equality constraint.
J. Appl. Math. Comput., December, 2023
Optimal Maintenance of a System With Multiple Deteriorating Components Served by Dedicated Teams.
IEEE Trans. Reliab., September, 2023
A real unconstrained equivalent problem of the quaternion equality constrained weighted least squares problem.
Numer. Algorithms, September, 2023
Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns.
Reliab. Eng. Syst. Saf., July, 2023
Function Perturbation Impact on Robust Stability and Stabilization of Boolean Networks With Disturbances.
IEEE Access, 2023
Proceedings of the 2023 International Conference on Power, 2023
2022
A real structure-preserving algorithm based on the quaternion QR decomposition for the quaternion equality constrained least squares problem.
Numer. Algorithms, 2022
Optimal warranty policy for repairable products with a three-dimensional renewable combination warranty.
Comput. Ind. Eng., 2022
2021
Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections.
Reliab. Eng. Syst. Saf., 2021
An efficient real representation method for least squares problem of the quaternion constrained matrix equation AXB + CY D = E.
Int. J. Comput. Math., 2021
Proceedings of the ICISCAE 2021: 4th International Conference on Information Systems and Computer Aided Education, Dalian, China, September 24, 2021
2020
Optimal maintenance policy considering imperfect repairs and non-constant probabilities of inspection errors.
Reliab. Eng. Syst. Saf., 2020
On accurate error estimates for the quaternion least squares and weighted least squares problems.
Int. J. Comput. Math., 2020
2019
J. Comput. Appl. Math., 2019
2018
The minimal norm least squares Hermitian solution of the complex matrix equation AXB+CXD=E.
J. Frankl. Inst., 2018
An efficient method for special least squares solution of the complex matrix equation (AXB, CXD)=(E, F).
Comput. Math. Appl., 2018
2017
Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017
2016
Real structure-preserving algorithms of Householder based transformations for quaternion matrices.
J. Comput. Appl. Math., 2016
A New Double Color Image Watermarking Algorithm Based on the SVD and Arnold Scrambling.
J. Appl. Math., 2016
Comput. Math. Appl., 2016
2015
On a New Class of Fuzzy Coimplications Derived from Generalized <i>h</i>-Generators and Fuzzy Negations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015
Special least squares solutions of the quaternion matrix equation AX=B with applications.
Appl. Math. Comput., 2015
2014
A fast structure-preserving method for computing the singular value decomposition of quaternion matrices.
Appl. Math. Comput., 2014
2013
On a new class of implications: (<i>g</i>, <i>u</i>)(g, u)-implications and the distributive equations.
Int. J. Approx. Reason., 2013
2012
On the distributivity of fuzzy implications over continuous Archimedean t-conorms and continuous t-conorms given as ordinal sums.
Fuzzy Sets Syst., 2012
2011
Common Hermitian least squares solutions of matrix equations A<sub>1</sub> X A<sub>1</sub>* = B<sub>1</sub> and A<sub>2</sub> X A<sub>2</sub>* = B<sub>2</sub> subject to inequality restrictions.
Comput. Math. Appl., 2011
Comput. Math. Appl., 2011
Least squares solutions with special structure to the linear matrix equation AXB = C.
Appl. Math. Comput., 2011