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

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

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

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

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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

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

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

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

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

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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

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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

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