 
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. Nonstrict 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. Sprocedure 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 semidefinite 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 LMIParsers and parsers joint with solvers:LMILab (documentation)Since MATLAB Release 14, LMILab is a part of Robust Control Toolbox. LMITOOL (Scilab version) LMITOOL is incorporated into Scilab. YALMIP CVX SeDuMi Interface SDPSOL KYPD xLMI LMILab Translator Solvers:SeDuMiCSDP DSDP PENSDP, PENBMI SDPA SDPT3 SDPLR LMIRank SBmethod Packages not related to LMI, but close in subject:SOSTOOLSIQC toolbox GloptyPoly RoMulOC PoLyX MOSEK General sites on LMI and SDP:Site of Stephen Boyd's research teamSemidefinite Programming (H. Wolkowicz) Semidefinite Programming (Ch. Helmberg) SDP Page (F. Alizadeh) InteriorPoint Methods Online (S. Wright, before 2001) Optimization Online: Linear, Cone and Semidefinite Programming NEOS Solvers Semidefinite Programming Packages 


