Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a very powerful tool for solving a wide scope of complex engineering analysis and design problems. In this paper, we provide an overview of this approach and show how it can be applied to several important problems in automotive applications, including structural design, input-to-output analysis, and nonlinear control design. A numerical example involving a nonlinear controller design illustrates the approach
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
Abstract—Numerous tasks in control systems involve opti-mization problems over polynomials, and unfo...
Linear Matrix Inequalities (LMIs) is a powerful too] that has been used in many areas ranging from c...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
This paper outlines the issues of Linear Matrix Inequalities (LMIs) and semidefinite programming wit...
The objective of this research is to develop a simple unifying methodology for designing linear cont...
This paper presents a methodology in the Linear Matrix Inequality (LMI) framework to jointly optimiz...
Abstract: This paper presents a methodology in the Linear Matrix Inequality (LMI) framework to joint...
Master’s thesis deals with using a linear matrix inequality (LMI) in control of a dynamic systems. W...
Abstract. Linear Matrix Inequalities (LMI for short) is a large class of convex constraints. Boxes, ...
In this presentation, we will develop a short overview of main trends of optimization in systems and...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
Abstract—Numerous tasks in control systems involve opti-mization problems over polynomials, and unfo...
Linear Matrix Inequalities (LMIs) is a powerful too] that has been used in many areas ranging from c...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
Convex optimization involving Linear Matrix Inequality (LM1) constraints has recently emerged as a v...
This paper outlines the issues of Linear Matrix Inequalities (LMIs) and semidefinite programming wit...
The objective of this research is to develop a simple unifying methodology for designing linear cont...
This paper presents a methodology in the Linear Matrix Inequality (LMI) framework to jointly optimiz...
Abstract: This paper presents a methodology in the Linear Matrix Inequality (LMI) framework to joint...
Master’s thesis deals with using a linear matrix inequality (LMI) in control of a dynamic systems. W...
Abstract. Linear Matrix Inequalities (LMI for short) is a large class of convex constraints. Boxes, ...
In this presentation, we will develop a short overview of main trends of optimization in systems and...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
International audienceLinear matrix inequalities (LMIs) comprise a large class of convex constraints...
Abstract—Numerous tasks in control systems involve opti-mization problems over polynomials, and unfo...
Linear Matrix Inequalities (LMIs) is a powerful too] that has been used in many areas ranging from c...