Harmony search algorithm for infinite impulse response system identification

2014 ◽  
Vol 40 (4) ◽  
pp. 1265-1285 ◽  
Author(s):  
S.K. Saha ◽  
R. Kar ◽  
D. Mandal ◽  
S.P. Ghoshal
Keyword(s):  
System Identification ◽  
Impulse Response ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Infinite Impulse Response ◽  
Response System

Adaptive infinite impulse response system identification using teacher learner based optimization algorithm

2018 ◽  
Vol 49 (5) ◽  
pp. 1785-1802 ◽  
Author(s):  
Sandeep Singh ◽  
Alaknanda Ashok ◽  
Manjeet Kumar ◽  
Tarun Kumar Rawat
Keyword(s):  
System Identification ◽  
Impulse Response ◽  
Optimization Algorithm ◽  
Infinite Impulse Response ◽  
Response System

A Heuristic Approach to Design Discrete Fractional Order Integrators without Using s-to-z Transform

2017 ◽  
Vol 261 ◽  
pp. 386-393
Author(s):  
Shibendu Mahata ◽  
Suman Kumar Saha ◽  
Rajib Kar ◽  
Durbadal Mandal ◽  
Nilotpal Banerjee
Keyword(s):  
Fractional Order ◽  
Search Algorithm ◽  
Statistical Tests ◽  
Optimization Technique ◽  
Harmony Search ◽  
Optimal Solution ◽  
Harmony Search Algorithm ◽  
Infinite Impulse Response ◽  
Error Metrics ◽  
Real Coded Genetic Algorithm

In this paper, a heuristic optimization technique called Harmony Search Algorithm (HSA) is efficiently employed to design Infinite Impulse Response (IIR) Discrete Fractional Order Integrators (DFOIs). Unlike the methods reported in the literature, no discretization (s-to-z transform) operator is necessary to obtain the DFOIs by using the proposed approach. To investigate the design efficiency, the HSA-based DFOIs have been evaluated against the designs based on Real coded Genetic Algorithm (RGA), Particle Swarm Optimization (PSO), and Differential Evolution (DE) using different frequency response error metrics. The reliability in the performance of the proposed DFOIs are extensively investigated by conducting various statistical tests. Comparison of fitness convergence demonstrates that HSA achieves the near global optimal solution in the least number of iterations. Thus, HSA exhibits superior computational efficiency in solving this multimodal optimization problem. The proposed DFOIs also outperform the reported designs.

Infinite impulse response system identification using antlion optimisation algorithm

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Sandeep Singh ◽  
Alpana Shekhar ◽  
Chakshu Kalra ◽  
Alaknanda Ashok ◽  
Tarun Kumar Rawat ◽  
...  
Keyword(s):  
System Identification ◽  
Impulse Response ◽  
Infinite Impulse Response ◽  
Response System ◽  
Optimisation Algorithm
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