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Study of Linear Matrix Inequalities. A Software Companion.
AbstractThe book written in Russian presents an overview of software for study of optimization problems referred to linear matrix inequalities, and a guide to the programme packages LMILab, LMITOOL, SeDuMi Interface, YALMIP, and KYPD. The book is intended for users of MATLAB and Scilab, who are interested in applications of linear matrix inequalities to control theory, mechanics, and other fields. They get a powerful tool for their investigations without going into mathematical details. The presentation is accompanied by a great number of sample programmes.ContentsPreface1. General information 1.1. The settings of problems for study of LMIs 1.2. Non-strict LMIs 1.3. Duality 1.4. Numerical methods for study of LMIs 1.5. Matrix variables 1.6. Schur complement 1.7. Examples 1.8. S-procedure 1.9. Solvers and parsers 1.10. An overview of parsers for study of LMIs 1.11. A history of LMIs in control theory 2. LMILab package 2.1. Definition of a system of LMIs 2.2. Getting information on a system 2.3. Mutual transformations of matrix and design variables 2.4. Investigation of LMIs 2.5. Estimation of LMIs 2.6. Modification of LMIs 2.7. Examples 3. LMITOOL package 3.1. Review of the package 3.2. Functions of the package 3.3. Examples 3.4. LMITOOL in MATLAB 4. SeDuMi Interface package 4.1. Review of the package 4.2. Definition of an optimization problem 4.3. Solving an optimization problem 4.4. Modification of a problem 4.5. Getting information on a problem 4.6. Examples 5. YALMIP package 5.1. Review of the package 5.2. Definition of matrix variables 5.3. Definition of constraints 5.4. Solving a problem of semi-definite programming 5.5. Examples 5.6. A study of bilinear matrix inequalities 5.7. Auxiliary commands 6. KYPD package 6.1. Review of the package 6.2. Main functions 6.3. A work with KYPD in YALMIP Appendix 1 Appendix 2 References Index of commands and functions
Sites of the main programme packages related to LMI
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