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75 results on '"Mahata, Shibendu"'

73. Optimal design of wideband digital integrators and differentiators using harmony search algorithm.

Author

Mahata, Shibendu, Saha, Suman Kumar, Kar, Rajib, and Mandal, Durbadal

Subjects
*SEARCH algorithms, *GENETIC algorithms, *PARTICLE swarm optimization, *DIFFERENTIAL evolution, *METAHEURISTIC algorithms
Abstract

This paper presents an efficient approach to design stable, wideband, and infinite impulse response digital integrators (DIs) and digital differentiators (DDs) of first, second, third, and fourth order using an evolutionary optimization algorithm called harmony search (HS). In recent years, although wideband DIs and DDs have been designed using metaheuristic optimization techniques such as simulated annealing, genetic algorithm, and particle swarm optimization (PSO), these algorithms lead to sub-optimal solutions because of stagnation and premature convergence. HS algorithm, however, promises an enhanced frequency response for DIs and DDs because of the better exploration and exploitation of the search space. Simulation results demonstrate the superiority of HS-based designs as compared with three well-known benchmark evolutionary optimization algorithms, namely real coded genetic algorithm (RGA), PSO, and differential evolution (DE) based designs by yielding the least values of different magnitude response error metrics. Parametric and non-parametric statistical hypothesis tests are also conducted to compare the consistency in the performance of HS-based DIs and DDs with those of the designs based on RGA, PSO, and DE. The proposed HS-based designs also outperform those of the designs based on both classical and evolutionary optimization approaches reported in recent literature in terms of the maximum absolute magnitude error metric. [ABSTRACT FROM AUTHOR]

Published
2017
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74. Optimal design of IIR digital FOI using IPSO

Author

Mahata, Shibendu, Saha, Suman Kumar, Kar, Rajib, and Mandal, Durbadal

Abstract

ABSTRACTThis paper presents an efficient approach to design digital Fractional-Order Integrators (FOIs) exhibiting an accurate magnitude response by employing a metaheuristic algorithm called Improved Particle Swarm Optimisation (IPSO). The proposed infinite impulse response (IIR) filter type IPSO-based digital FOIs have been judged against the Real-coded Genetic Algorithm, Particle Swarm Optimisation (PSO), and Differential Evolution -based digital FOIs with respect to various performance metrics. The superior performance of the IPSO-based designs is also emphasised using different statistical indices. Parametric and non-parametric statistical hypothesis tests demonstrate the reliable performance of IPSO-based designs. MATLAB simulation results confirm the accurate magnitude response of the proposed digital FOIs as compared with the published literature.

Published
2018
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75. CONTROLLING A ROBOTIC CAR Through MATLAB GUI.

Author

PATRA, SAIKAT, NAG, SUMAN, and MAHATA, SHIBENDU

Subjects
ROBOTICS, GRAPHICAL user interfaces
Abstract

The article offers step-by-step instructions for controlling a robotic car using a matrix laboratory or MATLAB based graphical user interface (GUI).

Published
2016

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