activity
20122018
most citedFractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO

314 citations · 2.9k across the 49 of their papers we have counts for

collaborators

50 papers

stat.CO2018

Improving the efficiency and robustness of nested sampling using posterior repartitioning

Xi Chen, Mike Hobson, Saptarshi Das +1

In real-world Bayesian inference applications, prior assumptions regarding the parameters of interest may be unrepresentative of their actual values for a given dataset. In particu…

nlin.CD2018★ 11 cited

Evolving Chaos: Identifying New Attractors of the Generalised Lorenz Family

Indranil Pan, Saptarshi Das

In a recent paper, we presented an intelligent evolutionary search technique through genetic programming (GP) for finding new analytical expressions of nonlinear dynamical systems,…

cs.LG2018★ 166 cited

Artificial neural network based modelling approach for municipal solid waste gasification in a fluidized bed reactor

Daya Shankar Pandey, Saptarshi Das, Indranil Pan +2

In this paper, multi-layer feed forward neural networks are used to predict the lower heating value of gas (LHV), lower heating value of gasification products including tars and en…

physics.med-ph2018★ 62 cited

Hybrid Wavelet and EMD/ICA Approach for Artifact Suppression in Pervasive EEG

Valentina Bono, Saptarshi Das, Wasifa Jamal +1

Electroencephalogram (EEG) signals are often corrupted with unintended artifacts which need to be removed for extracting meaningful clinical information from them. Typically a prio…

eess.SY2018★ 31 cited

Performance Analysis of Robust Stable PID Controllers Using Dominant Pole Placement for SOPTD Process Models

Saptarshi Das, Kaushik Halder, Amitava Gupta

This paper derives new formulations for designing dominant pole placement based proportional-integral-derivative (PID) controllers to handle second order processes with time delays…

physics.med-ph2018★ 48 cited

Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach with EEG, fMRI and DTI

Bogdan Alexandru Cociu, Saptarshi Das, Lucia Billeci +5

This paper proposes a novel approach of integrating different neuroimaging techniques to characterize an autistic brain. Different techniques like EEG, fMRI and DTI have traditiona…

physics.bio-ph2018★ 9 cited

Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterisation of Scanning Electron Microscopy Images

Suparna Dutta Sinha, Saptarshi Das, Sujata Tarafdar +1

The present paper proposes a novel method of quantification of the variation in biofilm architecture, in correlation with the alteration of growth conditions that include, variatio…

physics.bio-ph2017★ 29 cited

Comparison of Decision Tree Based Classification Strategies to Detect External Chemical Stimuli from Raw and Filtered Plant Electrical Response

Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +5

Plants monitor their surrounding environment and control their physiological functions by producing an electrical response. We recorded electrical signals from different plants by…

physics.geo-ph2017★ 10 cited

Fast GPU-Based Seismogram Simulation from Microseismic Events in Marine Environments Using Heterogeneous Velocity Models

Saptarshi Das, Xi Chen, Michael P. Hobson

A novel approach is presented for fast generation of synthetic seismograms due to microseismic events, using heterogeneous marine velocity models. The partial differential equation…

physics.med-ph2016★ 12 cited

Using Brain Connectivity Measure of EEG Synchrostates for Discriminating Typical and Autism Spectrum Disorder

Wasifa Jamal, Saptarshi Das, Koushik Maharatna +5

In this paper we utilized the concept of stable phase synchronization topography - synchrostates - over the scalp derived from EEG recording for formulating brain connectivity netw…

physics.med-ph2016★ 14 cited

Existence of Millisecond-order Stable States in Time-Varying Phase Synchronization Measure in EEG Signals

Wasifa Jamal, Saptarshi Das, Koushik Maharatna

In this paper, we have developed a new measure of understanding the temporal evolution of phase synchronization for EEG signals using cross-electrode information. From this measure…

eess.SY2016★ 3 cited

Control Strategy for Anaesthetic Drug Dosage with Interaction Among Human Physiological Organs Using Optimal Fractional Order PID Controller

Saptarshi Das, Sourav Das, Koushik Maharatna

In this paper, an efficient control strategy for physiological interaction based anaesthetic drug infusion model is explored using the fractional order (FO) proportional integral d…

eess.SY2016★ 8 cited

Missile Attitude Control via a Hybrid LQG-LTR-LQI Control Scheme with Optimum Weight Selection

Saptarshi Das, Kaushik Halder

This paper proposes a new strategy for missile attitude control using a hybridization of Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR), and Linear Quadratic Integra…

nlin.CD2016★ 22 cited

Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors

Saptarshi Das, Anish Acharya, Indranil Pan

Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, ra…

physics.med-ph2016★ 19 cited

A Statistical Index for Early Diagnosis of Ventricular Arrhythmia from the Trend Analysis of ECG Phase-portraits

Grazia Cappiello, Saptarshi Das, Evangelos B. Mazomenos +4

In this paper, we propose a novel statistical index for the early diagnosis of ventricular arrhythmia (VA) using the time delay phase-space reconstruction (PSR) technique, from the…

physics.bio-ph2016★ 76 cited

Exploring Strategies for Classification of External Stimuli Using Statistical Features of the Plant Electrical Response

Shre Kumar Chatterjee, Saptarshi Das, Koushik Maharatna +4

Plants sense their environment by producing electrical signals which in essence represent changes in underlying physiological processes. These electrical signals, when monitored, s…

math.OC2016★ 12 cited

Towards a Global Controller Design for Guaranteed Synchronization of Switched Chaotic Systems

Indranil Pan, Saptarshi Das, Avijit Routh

In this paper, synchronization of identical switched chaotic systems is explored based on Lyapunov theory of guaranteed stability. Concepts from robust control principles and switc…

eess.SY2016★ 314 cited

Fractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO

Indranil Pan, Saptarshi Das

This paper investigates the operation of a hybrid power system through a novel fuzzy control scheme. The hybrid power system employs various autonomous generation systems like wind…

math.OC2016★ 150 cited

Fractional Order Load-Frequency Control of Interconnected Power Systems Using Chaotic Multi-objective Optimization

Indranil Pan, Saptarshi Das

Fractional order proportional-integral-derivative (FOPID) controllers are designed for load frequency control (LFC) of two interconnected power systems. Conflicting time domain des…

physics.med-ph2016★ 10 cited

On the Existence of Synchrostates in Multichannel EEG Signals during Face-perception Tasks

Wasifa Jamal, Saptarshi Das, Koushik Maharatna +5

Phase synchronisation in multichannel EEG is known as the manifestation of functional brain connectivity. Traditional phase synchronisation studies are mostly based on time average…

stat.AP2016★ 15 cited

Drift Removal in Plant Electrical Signals via IIR Filtering Using Wavelet Energy

Saptarshi Das, Barry Juans Ajiwibawa, Shre Kumar Chatterjee +6

Plant electrical signals often contains low frequency drifts with or without the application of external stimuli. Quantification of the randomness in plant signals in a stimulus-sp…

eess.SY2016★ 242 cited

Fractional Order AGC for Distributed Energy Resources Using Robust Optimization

Indranil Pan, Saptarshi Das

The applicability of fractional order (FO) automatic generation control (AGC) for power system frequency oscillation damping is investigated in this paper, employing distributed en…

physics.med-ph2014★ 93 cited

Classification of Autism Spectrum Disorder Using Supervised Learning of Brain Connectivity Measures Extracted from Synchrostates

Wasifa Jamal, Saptarshi Das, Ioana-Anastasia Oprescu +3

Objective. The paper investigates the presence of autism using the functional brain connectivity measures derived from electro-encephalogram (EEG) of children during face perceptio…

physics.med-ph2014★ 19 cited

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques

Valentina Bono, Wasifa Jamal, Saptarshi Das +1

In order to reduce the muscle artifacts in multi-channel pervasive Electroencephalogram (EEG) signals, we here propose and compare two hybrid algorithms by combining the concept of…