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Control System Analysis And Synthesis Via Linear Matrix Inequalities (1993)  (Make Corrections)  (6 citations)
S. Boyd, V. Balakrishnan, E. Feron, L. ElGhaoui
Proc. ACC



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Abstract: A wide variety of problems in systems and control theory can be cast or recast as convex problems that involve linear matrix inequalities (LMIs). For a few very special cases there are "analytical solutions" to these problems, but in general they can be solved numerically very efficiently. In many cases the inequalities have the form of simultaneous Lyapunov or algebraic Riccati inequalities; such problems can be solved in a time that is comparable to the time required to solve the same number... (Update)

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.... discussed in this survey consider both the single input case (q = 1 in [1] 14] 18] and [19] and the multiple input case (q 1 in [6] and [9] In the former, the state control vector is k T = k 1 ; k 2 ; k n ] and in the latter, the control matrix is a q...

...more on eigenvalue optimization, see [37] 4. 3 Engineering Many early applications of SDP appeared in the Engineering literature, e.g. [11, 66, 65]. This was particularly evident in control theory, where it has emerged as an important practical tool for the analysis of...

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1.0:   Method of Centers for Minimizing Generalized Eigenvalues - Boyd, Ghaoui (1993)   (Correct)
1.0:   System Analysis via Integral Quadratic Constraints - Part I - Megretski, Rantzer (1995)   (Correct)

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BibTeX entry:   (Update)

S. BOYD, V. BALAKRISHNAN, E. FERON, and L. El GHAOUI. Control system analysis and synthesis via linear matrix inequalities. Proc. ACC, pages 2147--2154, 1993. http://citeseer.ist.psu.edu/boyd93control.html   More

@article{ boyd93control,
    author = "S. {BOYD} and V. {BALAKRISHNAN} and E. {FERON} and L. {El~{G}{HAOUI}}",
    title = "Control system analysis and synthesis via linear matrix inequalities",
    journal = "{Proc. ACC}",
    pages = "2147--2154",
    year = "1993",
    url = "citeseer.ist.psu.edu/boyd93control.html" }
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