
arXiv: 2305.08735
The projection lemma (often also referred to as the elimination lemma) is one of the most powerful and useful tools in the context of linear matrix inequalities for system analysis and control. In its traditional formulation, the projection lemma only applies to strict inequalities, however, in many applications we naturally encounter non-strict inequalities. As such, we present, in this note, a non-strict projection lemma that generalizes both its original strict formulation as well as an earlier non-strict version. We demonstrate several applications of our result in robust linear-matrix-inequality-based marginal stability analysis and stabilization, a matrix S-lemma, which is useful in (direct) data-driven control applications, and matrix dilation.
To appear in IEEE Transactions on Automatic Control
Data-driven control, Asymptotic stability, Linear matrix inequalities, Robust control, Linear systems, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Systems and Control (eess.SY), semidefinite programming, marginal stability, Electrical Engineering and Systems Science - Systems and Control, Interpolation, Symmetric matrices, Discrete-time control/observation systems, Optimization and Control (math.OC), Algebraic methods, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, linear matrix inequalities (LMIs), parameter elimination, Semidefinite programming, semi-definite programming, Mathematics - Optimization and Control, Control design
Data-driven control, Asymptotic stability, Linear matrix inequalities, Robust control, Linear systems, Lyapunov and other classical stabilities (Lagrange, Poisson, \(L^p, l^p\), etc.) in control theory, Systems and Control (eess.SY), semidefinite programming, marginal stability, Electrical Engineering and Systems Science - Systems and Control, Interpolation, Symmetric matrices, Discrete-time control/observation systems, Optimization and Control (math.OC), Algebraic methods, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, linear matrix inequalities (LMIs), parameter elimination, Semidefinite programming, semi-definite programming, Mathematics - Optimization and Control, Control design
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