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Bohr–van Leuween theorem has attracted the notice of physicists for more than 100 years. The theorem states about the absence of magnetisation in classical systems in thermal equilibrium. In this paper, we discuss about fluctuations of magnetic moment in classical systems. In recent years, this topic has been investigated intensively and it is not free from controversy. We have considered a system...
In this paper a novel and accurate approach is presented to identify varieties of nonlinear Hammerstein models (closed loop and open loop) with the help of an optimization algorithm that combines a recently proposed backtracking search algorithm with wavelet theory-based mutation scheme (BSA-WM). The optimum output MSE associated with each plant along with its statistical information justifies the...
This paper delivers an efficient and accurate approach for identification of a Box-Jenkins (BJ) structure based Wiener model with Simplex Particle Swarm Optimization (SPSO) algorithm. The accuracy and the precision of the identification scheme have been justified with the reported bias and variance information, respectively, of the estimated parameters. The output mean square error (MSE) has been...
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...
In this paper an efficient and accurate approach for identification of Hammerstein model has been proposed using Social Emotional Optimization Algorithm (SEOA). In SEOA method, behaviour of human being for attaining superior position in society is structured. The accuracy of the proposed SEOA based identification scheme has been justified with the optimal value of MSE and their corresponding comparative...
This paper proposes an accurate and efficient approach for identification of a two stage cascaded Hammerstein model using Particle Swarm Optimization with Aging Leader and Challengers (ALC-PSO) algorithm. To enhance the computational speed and to avoid the premature convergence criteria, ALC-PSO is used. The accuracy and the precision of the proposed ALC-PSO based identification scheme have been justified...
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...
Missions involving unmanned aerial vehicles require extensive searching for potential targets from above. Antennas fitted to such vehicles are mounted on two gimbals for allowing full movement about the azimuth and elevation plane with respect to the body axis. In real time there is a need to use the available searching time optimally. It is worthwhile to tune the azimuth search angle within available...
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