Finite-horizon inverse optimal control for discrete-time nonlinear systems
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Publication:680575
DOI10.1016/J.AUTOMATICA.2017.09.023zbMath1378.49039OpenAlexW2765164677MaRDI QIDQ680575
Jason J. Ford, Tristan Perez, Timothy L. Molloy
Publication date: 23 January 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://eprints.qut.edu.au/112721/1/MFP.1.final.pdf
Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Inverse problems in optimal control (49N45) Optimality conditions (49K99)
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Model-based inverse reinforcement learning for deterministic systems ⋮ Discrete-time inverse linear quadratic optimal control over finite time-horizon under noisy output measurements ⋮ System identification approach for inverse optimal control of finite-horizon linear quadratic regulators ⋮ Distributed inverse optimal control ⋮ Data‐driven optimal fault‐tolerant‐control and detection for a class of unknown nonlinear discrete‐time systems ⋮ Online inverse reinforcement learning for nonlinear systems with adversarial attacks ⋮ Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach ⋮ Inverse optimal control for averaged cost per stage linear quadratic regulators ⋮ Off-policy inverse Q-learning for discrete-time antagonistic unknown systems ⋮ Online inverse optimal control for control-constrained discrete-time systems on finite and infinite horizons ⋮ Inverse optimal control for discrete-time finite-horizon linear quadratic regulators ⋮ Identifiability and solvability in inverse linear quadratic optimal control problems
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