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We consider three design approaches: normal approximation, inequality method and regression method.
Then, the dissipative non-fragile state estimator is designed successfully via linear matrix inequality method.
To reduce the computational complexity, Jensen's integral inequality method is employed.
The integral inequality method and linear matrix inequality (LMI) technique are adopted during the process of robust L1 stability analysis.
A sufficient condition guaranteeing the existence of linear switching surface is given based on the linear matrix inequality method (LMIs).
By using linear matrix inequality method, the numerical solution of mixed H2/H∞ state-feedback controller can be efficiently solved.
Similar(33)
Advances in Linear Matrix Inequality Methods in Control, Laurent El Ghaoui and Silviu-Iulian Niculescu, Editors.
Linear matrix inequality methods are applied to develop a solution which links control objective, performance, and communication limits.
In contrast with LMI or BMI approaches, these new methods avoid the use of Lyapunov variables, which gives them two major strategic advances over matrix inequality methods.
These inequality methods are based on the representation formula of a solution and the analysis of Cauchy, Green's and fundamental matrices.
Micro-level estimation of poverty and inequality: methods and case study evidence.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com