Temperature Measurement is one of the major controlling parameters in all process industries. A closed loop system is formed by connecting a controller with that process with the combination of various transducers leading to stability. This paper deals with comparison of various PID control tuning techniques and Particle Swarm Optimization (PSO) technique. A single input single output (SISO) Re...

This paper introduces a Modified Error Data Normalized Step Size (MEDNSS) algorithm in which time varying step size depends upon normalization of both error and data vector. An Adaptive Noise Canceller (ANC) is used to improve the system performance in the presence of signal leakage components or signal crosstalk. This ANC consists of three microphones and two adaptive filters that automaticall...

A new adaptive step size adjustment least mean square (LMS) algorithm is presented in this paper. The proposed algorithm modified the existing LMS using the estimated output error as an important component for the modification of the step size. Experiment results demonstrate that application of the new algorithm leads to a significant gain in SNR (signal-to-noise ratio), thus visibly reduces th...

Controllers for parallel manipulators can be designed in task space or joint space, each having its own advantages and disadvantages. In this paper, integral sliding mode controllers designed in joint space and in task space are compared using MATLAB simulation. In both cases, genetic algorithm is used to determine optimal sliding surface gain. The performance and robustness, smoothness of cont...

The behavior of variable step-size least-mean-square (VSSLMS) algorithms is strongly affected by measurement noise. Thereby, aiming to maintain an adequate performance of these algorithms, their parameters must be adjusted whenever changes occur in the signal-to-noise ratio (SNR) of the adaptive system. A well-known VSSLMS algorithm based on error correlation provides a performance enhancement ...

This paper demonstrates the implementation of PID controller tuning using evolutionary technique which is Genetic Algorithm (GA). The optimal PID control scheme is applied to higher order system. The execution of this evolutionary strategy is evaluated by setting the objective function as mean square error (MSE), Integral time absolute error (ITAE) and Integral absolute error (IAE) one at a tim...

The authors present an algorithm for order reduction of linear dynamic SISO discrete systems using the combined advantages of the improved generalised Least squares method and error minimization by Differential Evolution technique (DE). The denominator of the reduced order model is obtained by improved generalise least squares method and the numerator coefficients are determined by minimizing t...

Here a posteriori error estimate for the numerical solution of nonlinear Voltena- Hammerstein equations is given. We present an error upper bound for nonlinear Voltena-Hammastein integral equations, in which the form of nonlinearity is algebraic and develop a posteriori error estimate for the recently proposed method of Brunner for these problems (the implicitly linear collocation method)...

The objective of the Fuzzy Adaptive Control (FAC) is to tune the scaling factors of the direct fuzzy logic controller (FLC). In this novel approach output scaling factor of Fuzzy controller is tuned through adaptation mechanism. The idea is to have a control system that will be able to achieve improvement in tracking set point change and rejection of load disturbance. In this paper, the propose...

This paper presents a posteriori error estimates for the hp{version of the boundary element method. We discuss two rst kind integral operator equations, namely Symm's integral equation and the integral equation with a hypersingular operator. The computable upper error bounds indicate an algorithm for the automatic hp{adaptive mesh{reenement. The eeciency of this method is shown by numerical exp...