Ellipsoidal reachable sets of linear time-varying continuous and discrete systems in control and estimation problems
DOI10.1016/j.automatica.2020.108926zbMath1440.93020OpenAlexW3010917678MaRDI QIDQ1987273
Ruslan S. Biryukov, Mark M. Kogan, Dmitry V. Balandin
Publication date: 14 April 2020
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2020.108926
Kalman filterLMIreachable setellipsoidal setgeneralized \(H_2\) normLTV continuous systemLTV discrete systemoptimal ellipsoidal controlrecursive least weighted squares algorithm
Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Attainable sets, reachability (93B03)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Properties of the optimal ellipsoids approximating the reachable sets of uncertain systems
- Ellipsoidal and interval estimation of state vectors for families of linear and nonlinear discrete-time dynamic systems
- Periodic systems. Filtering and control
- Ellipsoidal calculus for estimation and control
- Multi-objective generalized \(H_2\) control
- On equivalence of major relaxation methods for minimum ellipsoid covering intersection of ellipsoids
- Model validation for robust control of uncertain systems with an integral quadratic constraint
- Reach set computation and control synthesis for discrete-time dynamical systems with disturbances
- Finite-horizon multi-objective generalized \(H_2\) control with transients
- On the finite-time boundedness of linear systems
- On the minimax reachability of target sets and target tubes
- Regression and the Moore-Penrose pseudoinverse
- Convolution and Hankel operator norms for linear systems
- Filtering and smoothing in an H/sup infinity / setting
- Linear Matrix Inequalities in System and Control Theory
This page was built for publication: Ellipsoidal reachable sets of linear time-varying continuous and discrete systems in control and estimation problems
