Data-driven invariant set for nonlinear systems with application to command governors

DOI10.1016/j.automatica.2024.112010MaRDI QIDQ6664827

Claus Danielson, Ali R. Kashani

Publication date: 16 January 2025

Published in: Automatica (Search for Journal in Brave)

zbMATH Keywords

safety-critical systemsmachine learningbarrier functionsconstrained controldata-driven controlautonomous drivingLane keepinginvariant set computationneural Lyapunov functions

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• Advances in computational Lyapunov analysis using sum-of-squares programming
• Better bases for radial basis function interpolation problems
• Nonlinear tracking control in the presence of state and control constraints: a generalized reference governor
• A novel reference governor approach for constraint management of nonlinear systems
• A reference governor for linear systems with polynomial constraints
• Robust invariance-based explicit reference control for constrained linear systems
• Reference and command governors for systems with constraints: A survey on theory and applications
• Reference dependent invariant sets: sum of squares based computation and applications in constrained control
• Net and Prune
• Linear systems with state and control constraints: the theory and application of maximal output admissible sets
• A normal form for two-input forward-flat nonlinear discrete-time systems
• Computing Controlled Invariant Sets from Data Using Convex Optimization
• Infinite time reachability of state-space regions by using feedback control
• Explicit reference governor on \(SO(3)\) for torque and pointing constraint management

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