9 citations · 14 across the 17 of their papers we have counts for
4 papers · 1 filter
Data to Certificate: Guaranteed Cost Control with Quantization-Aware System Identification
Shahab Ataei, Dipankar Maity, Debdipta Goswami
Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assi…
QSID-MPC: Model Predictive Control with System Identification from Quantized Data
Shahab Ataei, Dipankar Maity, Debdipta Goswami
Least-square system identification is widely used for data-driven model-predictive control (MPC) of unknown or partially known systems. This letter investigates how the system iden…
Temporally-Consistent Bilinearly Recurrent Autoencoders for Control Systems
Ananda Chakrabarti, Indranil Nayak, Debdipta Goswami
This paper introduces the temporally-consistent bilinearly recurrent autoencoder (tcBLRAN), a Koopman operator based neural network architecture for modeling a control-affine nonli…
Koopman Meets Limited Bandwidth: Effect of Quantization on Data-Driven Linear Prediction and Control of Nonlinear Systems
Shahab Ataei, Dipankar Maity, Debdipta Goswami
Koopman-based lifted linear identification have been widely used for data-driven prediction and model predictive control (MPC) of nonlinear systems. It has found applications in fl…