Dynamical Soft Sensors from Scarce and Irregularly Sampled Outputs Using Sparse Optimization Techniques von Pinnamaraju, Vivek S., Tangirala, Arun K.

Volltext

Empirical Detection of Time Scales in LTI Systems using Sparse Optimization Techniques von Pinnamaraju, Vivek S., Tangirala, Arun K.

Volltext

Model fusion for efficient learning of nonlinear dynamical systems von Kedia, Vatsal, Pinnamaraju, Vivek S, Patil, Dinesh

Volltext bestellen

Optimal design of sequential excitation for identification of multi-variable systems von Lundh, Michael, Munusamy, Sudhakar, Isaksson, Alf J., Hjalmarsson, Håkan, Pinnamaraju, Vivek S.

Volltext

Identification of Process Networks with Recycle Streams von Pinnamaraju, Vivek S., Isaksson, Alf J., Mekapati, Srinivas, Munusamy, Sudhakar, Ramapriya, Gautham M., Kubal, Nandkishor

Volltext

Identification of FIR Models for LTI Multiscale Systems using Sparse Optimization Techniques von Pinnamaraju, Vivek S., Tangirala, Arun K.

Volltext

Wavelet based Steglitz Mc-Bride algorithm for Identification of Multiscale Output-Error Models von Pinnamaraju, Vivek S., Tangirala, Arun K.

Volltext

Comparison of Reinforcement Learning and Model Predictive Control for a Nonlinear Continuous Process von Rajpoot, Vikas, Munusamy, Sudhakar, Joshi, Tanuja, Patil, Dinesh, Pinnamaraju, Vivek

Volltext

Dynamic Selection of Weights of Ensemble Models Using Reinforcement Learning for Time-Series Forecasting von Perepu, Satheesh K., Balaji, Bala Shyamala, Tanneru, Hemanth Kumar, Kathari, Sudhakar, Pinnamaraju, Vivek Shankar

Volltext

Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting von Perepu, Satheesh K, Balaji, Bala Shyamala, Tanneru, Hemanth Kumar, Kathari, Sudhakar, Pinnamaraju, Vivek Shankar

Volltext bestellen

Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting von Perepu, Satheesh K, Balaji, Bala Shyamala, Tanneru, Hemanth Kumar, Kathari, Sudhakar, Vivek Shankar Pinnamaraju

Volltext