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20122020
most citedFractional Order Fuzzy Control of Hybrid Power System with Renewable Generation Using Chaotic PSO

314 citations · 2.8k across the 45 of their papers we have counts for

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Showing 2012Show all

16 papers · 1 filter

eess.SY2012★ 4 cited

Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach

Sayan Saha, Saptarshi Das, Anish Acharya +4

The paper investigates nonlinear system identification using system output data at various linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) b…

eess.SY2012★ 12 cited

Optimized Quality Factor of Fractional Order Analog Filters with Band-Pass and Band-Stop Characteristics

Anindya Pakhira, Saptarshi Das, Anish Acharya +2

Fractional order (FO) filters have been investigated in this paper, with band-pass (BP) and band-stop (BS) characteristics, which can not be achieved with conventional integer orde…

nlin.CD2012★ 1 cited

Optimum PID Control of Multi-wing Attractors in A Family of Lorenz-like Chaotic Systems

Anish Acharya, Saptarshi Das, 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…

eess.SY2012★ 4 cited

Stabilization Based Networked Predictive Controller Design for Switched Plants

Avijit Routh, Sourav Das, Saptarshi Das +1

Stabilizing state feedback controller has been designed in this paper for a switched DC motor plant, controlled over communication network. The switched system formulation for the…

eess.SY2012★ 89 cited

Extending the Concept of Analog Butterworth Filter for Fractional Order Systems

Anish Acharya, Saptarshi Das, Indranil Pan +1

This paper proposes the design of Fractional Order (FO) Butterworth filter in complex w-plane (w=sq; q being any real number) considering the presence of under-damped, hyper-damped…

eess.SY2012★ 2 cited

Artificial Neural Network Based Prediction of Optimal Pseudo-Damping and Meta-Damping in Oscillatory Fractional Order Dynamical Systems

Saptarshi Das, Indranil Pan, Khrist Sur +1

This paper investigates typical behaviors like damped oscillations in fractional order (FO) dynamical systems. Such response occurs due to the presence of, what is conceived as, ps…

eess.SY2012★ 176 cited

Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Indranil Pan, Saptarshi Das

In this paper, a fractional order (FO) PIλDμcontroller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An imp…

eess.SY2012★ 14 cited

Optimizing Continued Fraction Expansion Based IIR Realization of Fractional Order Differ-Integrators with Genetic Algorithm

Saptarshi Das, Basudev Majumder, Anindya Pakhira +3

Rational approximation of fractional order (FO) differ-integrators via Continued Fraction Expansion (CFE) is a well known technique. In this paper, the nominal structures of variou…

eess.SY2012★ 6 cited

Adaptive Gain and Order Scheduling of Optimal Fractional Order PIλDμ Controllers with Radial Basis Function Neural-Network

Saptarshi Das, Sayan Saha, Ayan Mukherjee +2

Gain and order scheduling of fractional order (FO) PIλDμ controllers are studied in this paper considering four different classes of higher order processes. The mapping between the…

eess.SY2012★ 2 cited

Embedded Network Test-Bed for Validating Real-Time Control Algorithms to Ensure Optimal Time Domain Performance

Ayan Mukherjee, Anindya Pakhira, Saptarshi Das +2

The paper presents a Stateflow based network test-bed to validate real-time optimal control algorithms. Genetic Algorithm (GA) based time domain performance index minimization is a…

eess.SY2012★ 4 cited

Estimation, Analysis and Smoothing of Self-Similar Network Induced Delays in Feedback Control of Nuclear Reactors

Basudev Majumder, Saptarshi Das, Indranil Pan +3

This paper analyzes a nuclear reactor power signal that suffers from network induced random delays in the shared data network while being fed-back to the Reactor Regulating System…

math.OC2012★ 10 cited

Stabilizing Gain Selection of Networked Variable Gain Controller to Maximize Robustness Using Particle Swarm Optimization

Indranil Pan, Saptarshi Das, Soumyajit Ghosh +1

Networked Control Systems (NCSs) are often associated with problems like random data losses which might lead to system instability. This paper proposes a method based on the use of…

eess.SY2012★ 6 cited

Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and PIλDμ Controllers via Genetic Programming

Saptarshi Das, Indranil Pan, Shantanu Das +1

Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PIλDμ control…

eess.SY2012★ 74 cited

Improved Model Reduction and Tuning of Fractional Order PIλDμ Controllers for Analytical Rule Extraction with Genetic Programming

Saptarshi Das, Indranil Pan, Shantanu Das +1

Genetic Algorithm (GA) has been used in this paper for a new approach of sub-optimal model reduction in the Nyquist plane and optimal time domain tuning of PID and fractional order…

eess.SY2012★ 267 cited

A Novel Fractional Order Fuzzy PID Controller and Its Optimal Time Domain Tuning Based on Integral Performance Indices

Saptarshi Das, Indranil Pan, Shantanu Das +1

A novel fractional order (FO) fuzzy Proportional-Integral-Derivative (PID) controller has been proposed in this paper which works on the closed loop error and its fractional deriva…

eess.SY2012★ 56 cited

Handling Packet Dropouts and Random Delays for Unstable Delayed Processes in NCS by Optimal Tuning of PIλDμ Controllers with Evolutionary Algorithms

Indranil Pan, Saptarshi Das, Amitava Gupta

The issues of stochastically varying network delays and packet dropouts in Networked Control System (NCS) applications have been simultaneously addressed by time domain optimal tun…