11 citations · 11 across the 2 of their papers we have counts for
3 papers
eess.SY2021★ 11 cited
Iterative learning control with discrete-time nonlinear nonminimum phase models via stable inversion
Isaac A Spiegel, Nard Strijbosch, Tom Oomen +1
Output reference tracking can be improved by iteratively learning from past data to inform the design of feedforward control inputs for subsequent tracking attempts. This process i…
eess.SY2021
Receding Horizon Iterative Learning Control for Continuously Operated Systems
Maxwell Wu, Mitchell Cobb, James Reed +3
This paper presents an iterative learning control (ILC) scheme for continuously operated repetitive systems for which no initial condition reset exists. To accomplish this, we deve…
cs.RO2020
Heterogeneous Vehicle Routing and Teaming with Gaussian Distributed Energy Uncertainty
Bo Fu, William Smith, Denise Rizzo +2
For robot swarms operating on complex missions in an uncertain environment, it is important that the decision-making algorithm considers both heterogeneity and uncertainty. This pa…