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This paper proposes an accurate and efficient strategy for identification of Hammerstein model based nonlinear systems using Craziness based Particle Swarm Optimization (CRPSO) algorithm. The closeness of estimation of the proposed CRPSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other techniques reported in earlier...
This paper presents an efficient approach for identification of fourth order nonlinear polynomial Hammerstein models using simplex particle swarm optimization (Simplex-PSO) algorithm. The accuracy of the proposed Simplex PSO based identification scheme has been justified with the optimal value of MSE and the corresponding comparative study with the other reported approaches. The statistical information...
This paper presents an efficient approach for identification of a nonlinear Hammerstein model using Bacteria Foraging Optimization (BFO) Algorithm. The accuracy and the efficiency of the proposed BFO based identification scheme have been justified with the optimal value of MSE and the corresponding comparative statistical information. The statistical information of the MSE has also been provided to...
This paper presents a Gravitational Search Algorithm (GSA) based accurate parametric identification approach to identify a closed-loop Box-Jenkins structured Hammerstein model. The main objective of the employed algorithm is to estimate the parameters associated with the model by optimizing the fitness function which is the output mean square error (MSE) in this work. Efficient identification of a...
This paper delivers an efficient soft computational approach towards the identification of a closed loop system with an unstable forward path system function. The identification is carried out with a modified Particle Swarm Optimization (PSO) algorithm called as Craziness based PSO (CRPSO). A parametric form of system model has been incorporated to identify the parameter vector associated with the...
Antenna array optimization in electromagnetics has thrown a growing influence on the communication systems. In this paper, a novel meta-heuristic search method based on social emotional optimization algorithm (SEOA) are applied to determine the best optimal current excitation weights and optimal inter-element spacing of optimized hyper beamforming of linear antenna arrays. Hyper beam is derived from...
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