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Applied Intelligence

, Volume 49, Issue 5, pp 1785–1802 | Cite as

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

  • Sandeep Singh
  • Alaknanda Ashok
  • Manjeet KumarEmail author
  • Tarun Kumar Rawat
Article
  • 91 Downloads

Abstract

In this paper, optimal coefficients of unknown infinite impulse response (IIR) system are computed by utilizing a new population based algorithm called teacher learner based optimization (TLBO) for system identification problem. TLBO algorithm is inspired by the teaching learning process in the classroom and is free from algorithmic specific parameters. In TLBO, difference mean is calculated for each learner, which is the difference between the existing mean result of the class and the teacher. This difference mean is updated in each iteration and is responsible for maintaining the diversity of this algorithm. System identification problem is based on minimizing the mean square error (MSE) function and finding the optimal coefficients of an unknown IIR system. The MSE is the difference between the outputs of an adaptive IIR system and an unknown IIR system. Exhaustive simulations have been done for finding the unknown system coefficients of same order and reduced order case. Four benchmark functions are tested using TLBO algorithm to verify its efficacy for system identification problem. In order to prove the effectiveness of the applied algorithm, evaluated coefficients and MSE values are compared with that of the genetic algorithm (GA), particle swarm optimization (PSO), cat swarm optimization (CSO), cuckoo search algorithm (CSA), firefly algorithm (FFA), bat algorithm (BAT), differential evolution with wavelet mutation (DEWM), harmony search (HS) and opposition based harmony search (OHS) algorithm.

Keywords

Infinite impulse response (IIR) system Teacher learner based optimization (TLBO) algorithm Mean square error (MSE) System identification 

Notes

Compliance with Ethical Standards

Conflict of interests

This is to state that the authors have no conflict of interest with anyone.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringUttarakhand Technical UniversityDehradunIndia
  2. 2.Department of Electronics and Communication EngineeringMaharaja Surajmal Institute of TechnologyDelhiIndia
  3. 3.Department of Electrical EngineeringGB Pant University of Agriculture and TechnologyUttarakhandIndia
  4. 4.Department of Electronics and Communication EngineeringBennett UniversityGreater NoidaIndia
  5. 5.Department of Electronics and Communication EngineeringNetaji Subhas University of TechnologyDelhiIndia

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