mlsanityData to 7 Oct 2026

Dissipative Imitation Learning for Robust Dynamic Output Feedback

arXiv 2210.00979 ↗First posted 3 Oct 2022eess.SY cs.SYcited by 1

On the map: Offline RL and imitation learning from data → Imitation learning methods

Abstract (arXiv)

Robust imitation learning seeks to mimic expert controller behavior while ensuring stability, but current methods require accurate plant models. Here, robust imitation learning is addressed for stabilizing poorly modeled plants with linear dynamic output feedback. Open-loop input-output properties are used to characterize an uncertain plant, and the feedback matrix of the dynamic controller is learned while enforcing stability through the controller's open-loop QSR-dissipativity properties. The imitation learning method is applied to two systems with parametric uncertainty.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Imitation learning methods, one of 13 directions in Offline RL and imitation learning from data. Builds on 10 of its 32 references that are in the map. First posted on arXiv 3 Oct 2022.

Builds on

10 of 32 references.

Closest ancestors · 3

Same direction, newest first

  1. 2021On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions24 Mar
  2. 2020Imitation Learning with Stability and Safety Guarantees16 Dec
  3. 2018An Algorithmic Perspective on Imitation Learning16 Nov

Other references · 7

  1. 2020Enforcing robust control guarantees within neural network policiescited by 40
  2. 2019Contracting Implicit Recurrent Neural Networks: Stable Models with Improved Trainabilitycited by 17
  3. 2020Offset-free setpoint tracking using neural network controllerscited by 10
  4. 2020Fitting a Linear Control Policy to Demonstrations with a Kalman Constraintcited by 9
  5. 2017Conic-sector-based analysis and control synthesis for linear parameter varying systemscited by 2
  6. 2020Determining optimal input-output properties: A data-driven approachcited by 2
  7. 2021Fixed-Order H2-Conic Controlcited by 1

Built on by

Cited by year

Citing papers per year: 2023: 1.

1 paper.

  1. 2023Dissipative Imitation Learning for Discrete Dynamic Output Feedback Control with Sparse Data Setscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Fusion Dynamical Systems with Machine Learning in Imitation Learning: A Comprehensive Overview
  2. 2023Learning Lyapunov-Stable Polynomial Dynamical Systems through Imitation
  3. 2022Robust Learning from Observation with Model Misspecification
  4. 2021No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE
  5. 2025Balance Equation-based Distributionally Robust Offline Imitation Learning
  6. 2021Imitation Learning of Stabilizing Policies for Nonlinear Systems
  7. 2024Globally Stable Neural Imitation Policies
  8. 2025Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification