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Robust state-derivative feedback LMI-based designs for linear descriptor systems. (English) Zbl 1191.93071

Summary: Techniques for stabilization of linear descriptor systems by state-derivative feedback are proposed. The methods are based on Linear Matrix Inequalities (LMIs) and assume that the plant is a controllable system with poles different from zero. They can include design constraints such as: decay rate, bounds on output peak and bounds on the state-derivative feedback matrix \(K\), and can be applied in a class of uncertain systems subject to structural failures. These designs consider a broader class of plants than the related results available in the literature. The LMI can be efficiently solved using convex programming techniques. Numerical examples illustrate the efficiency of the proposed methods.

MSC:

93C40 Adaptive control/observation systems
93C05 Linear systems in control theory
93C15 Control/observation systems governed by ordinary differential equations

Software:

LMI toolbox; SeDuMi
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Full Text: DOI

References:

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