Saptarshi Das

Senior Lecturer

University of Exeter Cornwall Campus

United Kingdom

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About

Dr. Saptarshi Das is a Senior Lecturer at the University of Exeter Cornwall Campus in the United Kingdom. His research interests encompass control systems, adaptive reinforcement learning, and energy management in microgrids, as demonstrated by his recent publications on PID controllers and voltage stability in power networks. Additionally, he explores advanced mathematical functions and Bayesian model selection techniques in the context of epidemic state estimation.

Articles (21)

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Collaborators (2)

ASIF ALI TAHIR

Associate Professor

University of Exeter Medical School

UNITED KINGDOM

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Ali Alibrahim

University of Exeter

UNITED KINGDOM

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Saptarshi Das

Research Interests

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About

Articles (21)

Stability region patterns in dominant pole placement based PID controller design for SOPTD systems

Parametric study of adaptive reinforcement learning for battery operations in microgrids

Gaussian process digital twin for voltage stability analysis of complex power networks under perturbation

Robot Differential Drive Navigation Through Probabilistic Roadmap and Pure Pursuit

Fourier Series Related to p-Trigonometric Functions

The forgotten p-versine and p-coversine family of functions revisited

Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia

Stabilizing regions of dominant pole placement for second order lead processes with time delay using filtered PID controllers

Bridging the p-Special Functions between the Generalized Hyperbolic and Trigonometric Families

Prioritized experience replay based deep distributional reinforcement learning for battery operation in microgrids

Centralised Control and Energy Management of Multiple Interconnected Standalone AC Microgrids

Power Flow Management of Interconnected AC Microgrids Using Back-to-Back Converters

Bayesian Noise Modelling for State Estimation of the Spread of COVID-19 in Saudi Arabia with Extended Kalman Filters

Multiclass classification of environmental chemical stimuli from unbalanced plant electrophysiological data

Dual-Layer Q-Learning Strategy for Energy Management of Battery Storage in Grid-Connected Microgrids

Real-Time Economic Dispatch of CHP Systems with Battery Energy Storage for Behind-the-Meter Applications

Specified QoS based networked observer and PI controller design with disturbance and noise rejection under random packet dropout

Toward a More Renewable Energy-Based LFC Under Random Packet Transmissions and Delays With Stochastic Generation and Demand

Estimating cetacean population trends from static acoustic monitoring data using Paired Year Ratio Assessment (PYRA)

Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering

Time delay handling in dominant pole placement with PID controllers to obtain stability regions using random sampling

Collaborators (2)

ASIF ALI TAHIR

Ali Alibrahim

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