System identification approach for inverse optimal control of finite-horizon linear quadratic regulators
From MaRDI portal
Publication:2665139
DOI10.1016/j.automatica.2021.109636zbMath1478.93129OpenAlexW3154137630MaRDI QIDQ2665139
Publication date: 18 November 2021
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109636
System identification (93B30) Discrete-time control/observation systems (93C55) Linear-quadratic optimal control problems (49N10) Inverse problems in optimal control (49N45)
Related Items (9)
Generalized maximum entropy based identification of graphical ARMA models ⋮ Adaptive event-triggered fuzzy control for hot strip finishing mill via a disturbance observer-based method ⋮ A non‐inherent parametric estimation for dynamical equivalence of flexible manipulators ⋮ Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data ⋮ Separable synthesis gradient estimation methods and convergence analysis for multivariable systems ⋮ Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: a convex optimization approach ⋮ Off-policy inverse Q-learning for discrete-time antagonistic unknown systems ⋮ Inverse linear quadratic dynamic games using partial state observations ⋮ Multi-innovation gradient estimation algorithms and convergence analysis for feedback nonlinear equation-error moving average systems
Cites Work
- Unnamed Item
- Unnamed Item
- Finite-horizon inverse optimal control for discrete-time nonlinear systems
- Data-driven estimation in equilibrium using inverse optimization
- Data-driven fault estimation of non-minimum phase LTI systems
- Identification of affinely parameterized state-space models with unknown inputs
- Subspace identification of individual systems in a large-scale heterogeneous network
- Inverse optimal control for discrete-time finite-horizon linear quadratic regulators
- Estimating Parameters in Optimal Control Problems
- Filtering and System Identification
- Linear Matrix Inequalities in System and Control Theory
- Noise covariance matrices in state‐space models: A survey and comparison of estimation methods—Part I
- Nonlinear regulator theory and an inverse optimal control problem
- Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
This page was built for publication: System identification approach for inverse optimal control of finite-horizon linear quadratic regulators