Finite horizon robustness analysis of LTV systems using integral quadratic constraints

DOI10.1016/j.automatica.2018.11.009zbMath1411.93059arXiv1711.07248OpenAlexW2963468103WikidataQ128896773 ScholiaQ128896773MaRDI QIDQ1737628

Peter Seiler, Robert M. Moore, Chris Meissen, Andrew K. Packard, Arcak, Murat

Publication date: 24 April 2019

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.07248

zbMATH Keywords

robustnessintegral quadratic constraintslinear time varying systems

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Control/observation systems with incomplete information (93C41) Linear systems in control theory (93C05) Attainable sets, reachability (93B03) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

Related Items (10)

Unique non-negative definite solution of the time-varying algebraic Riccati equations with applications to stabilization of LTV systems ⋮ Robustness analysis of uncertain time‐varying systems using integral quadratic constraints with time‐varying multipliers ⋮ Finite horizon robust synthesis using integral quadratic constraints ⋮ A polynomial eigenvalue test for checking DLMI constraints ⋮ Robustness analysis of uncertain time‐varying systems with unknown initial conditions ⋮ Computation of invariant sets for discrete‐time uncertain systems ⋮ Robustness analysis of gain‐scheduled Model Predictive Control for Linear Parameter Varying systems: An Integral Quadratic Constraints approach ⋮ Joint synthesis of trajectory and controlled invariant funnel for discrete‐time systems with locally Lipschitz nonlinearities ⋮ Reachability analysis using dissipation inequalities for uncertain nonlinear systems ⋮ Parabolic set simulation for reachability analysis of linear time-invariant systems with integral quadratic constraint

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