Sampling-based approximation of the viability kernel for high-dimensional linear sampled-data systems

DOI10.1145/2562059.2562117zbMath1362.93097OpenAlexW1987605281MaRDI QIDQ2986964

Jeremy H. Gillula, Claire J. Tomlin, Shahab Kaynama

Publication date: 16 May 2017

Published in: Proceedings of the 17th international conference on Hybrid systems: computation and control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2562059.2562117

zbMATH Keywords

sampling-based algorithmsconstrained sampled-data systemsviability kernel approximations

Mathematics Subject Classification ID

Sampled-data control/observation systems (93C57)

Uses Software

• CPLEX
• YALMIP
• MPT

Cites Work

• Minkowski terminal cost functions for MPC
• A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability
• Constrained model predictive control: Stability and optimality
• On infinity norms as Lyapunov functions for piecewise affine systems
• Linear systems with state and control constraints: the theory and application of maximal output admissible sets
• Computation of piecewise quadratic Lyapunov functions for hybrid systems
• Lyapunov Functions, Stability and Input-to-State Stability Subtleties for Discrete-Time Discontinuous Systems
• Stability analysis of piecewise discrete-time linear systems
• Convex Analysis
• Set-theoretic methods in control

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