Improved identification of Hammerstein plants using new CPSO and IPSO algorithms

Authors:
Satyasai Jagannath Nanda;Ganapati Panda;Babita Majhi
Affiliations:
Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, Orissa 769 008, India;School of Electrical Sciences, Indian Institute of Technology Bhubaneswar, Orissa, India;Department of IT, Institute of Technical Education and Research, Siksha 'O' Anusandhan University, Bhubaneswar, Orissa, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

Citing 21
Cited 2

A new method for the identification of Hammerstein model

Automatica (Journal of IFAC)
Artficial Immune Systems and Their Applications

Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm

Artificial Immune Systems: A New Computational Intelligence Paradigm
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences

EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
A Sense of Self for Unix Processes

SP '96 Proceedings of the 1996 IEEE Symposium on Security and Privacy
Competitive Approaches to PSO Algorithms via New Acceleration Co-Efficient Variant with Mutation Operators

ICCIMA '05 Proceedings of the Sixth International Conference on Computational Intelligence and Multimedia Applications
Quantum-Behaved Particle Swarm Optimization with Mutation Operator

ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
An Improved Particle Swarm Optimization with Mutation Based on Similarity

ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 04
A GA-based pruning strategy and weight update algorithm for efficient nonlinear system identification

PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Inspiration for the next generation of artificial immune systems

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Immune Algorithm with Adaptive Sampling in Noisy Environments and Its Application to Stochastic Optimization Problems

IEEE Computational Intelligence Magazine
Advances in artificial immune systems

IEEE Computational Intelligence Magazine
Immunotronics - novel finite-state-machine architectures withbuilt-in self-test using self-nonself differentiation

IEEE Transactions on Evolutionary Computation
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation
An artificial immune system architecture for computer securityapplications

IEEE Transactions on Evolutionary Computation
Identification of nonlinear dynamic systems using functional linkartificial neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Nonlinear dynamic system identification using Chebyshev functionallink artificial neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A formal framework for positive and negative detection schemes

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Identification of systems containing linear dynamic and static nonlinear elements

Automatica (Journal of IFAC)
Identification and control of dynamical systems using neural networks

IEEE Transactions on Neural Networks

Automatic clustering algorithm based on multi-objective Immunized PSO to classify actions of 3D human models

Engineering Applications of Artificial Intelligence
NARX model based nonlinear dynamic system identification using low complexity neural networks and robust H∞ filter

Applied Soft Computing

Quantified Score

Hi-index	12.06

Visualization

Abstract

Identification of Hammerstein plants finds extensive applications in stability analysis and control design. For identification of such complex plants, the recent trend of research is to employ nonlinear network and to train their weights by evolutionary computing tools. In recent years the area of Artificial Immune System (AIS) has drawn attention of many researchers due to its broad applicability to different fields. In this paper by combining the principles of AIS and PSO, we propose two new but simple hybrid algorithms called Clonal PSO (CPSO) and Immunized PSO (IPSO) which involve less complexity and offers better identification performance. Identification of few benchmark Hammerstein models is carried out through simulation study and the results obtained are compared with those obtained by standard PSO, Clonal and GA based methods. Various simulation results demonstrate that IPSO algorithm offers best identification performance compared to the other algorithms. Out of the two algorithms proposed, the CPSO is computationally simpler but offers identification performance nearly similar to its PSO counterpart.