In this paper Hybrid Direct Neural Controller (HDNC) with Linear Feedback Compensator (LFBC) has been developed. Proper initialization of neural network weights is a critical problem. This paper presents two different neural network configurations with unity and random weight initialization while using it as a direct controller and linear feedback compensator. The performances of these controll...

This paper deals with an integral equation method for analyzing the diffraction of a transverse magnetic (TM) plane wave by a perfectly conductive periodic surface. In the region below the periodic surface, the extinction theorem holds, and the total field vanishes if the field solution is determined exactly. For an approximate solution, the extinction theorem does not hold but an extinction er...

Abstract—A mixed method for model order reduction is presented in this paper. The denominator polynomial is derived by matching both Markov parameters and time moments, whereas numerator polynomial derivation and error minimization is done using Genetic Algorithm. The efficiency of the proposed method can be investigated in terms of closeness of the response of reduced order model with respect ...

In this paper, we propose an efficient control scheme for active queue management (AQM) supporting TCP flows. The proposed controller consists of two parts: a rate controller and a queue size controller. The rate controller is a proportional-integral (PI) controller, which improves the response to dynamic traffic variation and keeps the packet arrival rate around the link capacity. The queue si...

Best mean square prediction for moving average time series models is generally non-linear prediction, even in the invertible case. Gaussian processes are an exception, since best linear prediction is always best mean square prediction. Stable numerical recursions are proposed for computation of residuals and evaluation of unnormalized conditional distributions in invertible or non-invertible mo...

Abshact-A recursive integrated square error minimization technique is developed to solve integral equations occurring in electromagnetic scattering problems. The underlying idea is a generalization of the concept of the second minimization step recently proposed by van den Berg. This is implemented by a structured latfice algorithm similar to the lattice algorithms which emerged in the iast dec...

In this paper, a new control scheme, the gain scheduled Particle Swarm Optimization (PSO) based PID is proposed for continuous stirred tank reactor(CSTR). CSTR is a highly nonlinear process that exhibits stability in certain region and instability in some regions. Generally, PID controllers are used in these processes. Tuning of PID controller is required for guaranteeing the best performance o...

Fuzzy logic control has emerged as one of the active area for research. It has evolved as an alternative to the conventional control strategies in various engineering areas. The way is applying fuzzy logic to the design of PID controllers is termed as Fuzzy PID controllers. In this paper, fuzzy logic based PID controllers are compared with fuzzy logic based PD and PI controllers on the basis of...

In this paper, real-coded genetic algorithm (RCGA) optimization technique has been applied for large-scale linear dynamic multi-input-multi-output (MIMO) system. The method is based on error minimization technique where the integral square error between the transient responses of original and reduced order models has been minimized by RCGA. The reduction procedure is simple computer oriented an...

This paper deals with the tuning of parameters for Automatic Generation Control (AGC). A two area interconnected hydrothermal system with PI controller is considered. Genetic Algorithm (GA) and Particle Swarm optimization (PSO) algorithms have been applied to optimize the controller parameters. Two objective functions namely Integral Square Error (ISE) and Integral of Time-multiplied Absolute v...