Sentence examples for matrix analysis technique from inspiring English sources

A sufficient condition of synchronization is derived based on the Lyapunov-Krasovskii functional method and matrix analysis technique.

Therefore, the GIS and remote sensing based change detection matrix analysis technique could provide useful baseline information to understand the spatiotemporal patterns of land use transitions caused by the major driving forces thereby sustainable land management planning is possible.

Based on Lyapunov functional and the matrix analysis techniques, several sufficient conditions are given to ensure the asymptotical stability in the mean square of the addressed control systems.

By employing a combination of the Lyapunov functionals and the matrix analysis techniques, sufficient conditions are established to ensure the existence of the desired estimators and the explicit characterization of such estimators are then given via solving a linear matrix inequality.

By means of the properties of Brouwer degree and the matrix inequality analysis technique, the proof of the existence and uniqueness of equilibrium point is given.

By using this transfer function matrix, an analysis technique based on the relative gain array is employed to determine the interaction between the variables and to help in the choice of proper pairing between controlled and manipulated variables.

Strengths, weaknesses, opportunities and threats (SWOT) and quantitative strategic planning matrix (QSPM) analysis techniques were conducted to identify the required management strategies.

By making use of these parameter matrices and the analysis technique, any complicated practical reciprocating compressor piping system can be modelled or analyzed.

Based on the Lyapunov-Krasovskii functional method, a simple sufficient condition of synchronization is derived by using matrix analysis and matrix inequality technique.

Decision matrix analysis is a useful technique for making a decision.

Two sufficient conditions, which ensure the existence and uniqueness of the equilibrium point and global exponential stability of bi-directional associative memory (BAM) neural networks with distributed delays and reaction diffusion terms, are obtained by using the theory of topological degree, properties of M-matrix, Lyapunov functional, and analysis technique.