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What were the obsolete approach to getting BMI? 


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The obsolete approach to getting BMI involved using linear matrix inequalities (LMI) and branch and bound methods for global optimization . However, these methods were not efficient in solving the complex bilinear matrix inequality (BMI) problems . The LMI approach was limited in its ability to handle multiple performance criteria and disturbance rejection . On the other hand, the branch and bound method for global search was not suitable for solving general BMI problems due to its NP-hardness . These approaches lacked computational efficiency and were not able to guarantee convergence to a global optimum . Therefore, a new approach was proposed that involved a convex-concave based sequential LMI optimization method and a local search algorithm based on semidefinite programming relaxation .

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The paper does not mention any obsolete approaches to getting BMI. The paper is about a new approach to designing locally optimal robust output-feedback controllers.
The paper does not mention any obsolete approaches to getting BMI. The paper is about using Stochastic Multiple Imputation approaches to address measurement error in BMI.
The provided paper does not mention any obsolete approaches to getting BMI. The paper is about the rank minimization approach for solving BMI problems with random search.
The paper does not mention any obsolete approaches to obtaining a BMI.
The paper does not mention any obsolete approaches to getting BMI.

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