This paper presents a Comparative Study of NLMS (Normalized Least Mean Square) and ENSS (Error Normalized Step Size) LMS (Least Mean Square) algorithms. For this System Identification (An Adaptive Filter Application) is considered. Three performances Criterion are utilized in this study: Minimum Mean Square error (MSE), Convergence Speed, the Algorithm Execution Time. The Step Size Parameter (μ...

A stable adaptive controller is developed for a class of non-linear multivariable systems using nonlinearly parametrized function ap-proximators. By utilizing the system triangular property, integral-type Lya-punov functions are introduced for deriving the control structure and adap-tive laws without the need of estimating the “decoupling matrix” of themultivariable nonlinea...

this paper presents a new observer design methodology for a time varying actuator fault estimation. a new linear matrix inequality (lmi) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (fafe). the fafe is capable of estimating a wide range of time-varying actuator fault...

1Basuraju S, SAP Consultant , GE Technologies, , Karnataka, India 2 Nethravathi H M, Assistant Professor, Mechatronics Department, AIT, Karnataka, India 3 Sharath Kumar A J, Assistant Professor, ECE Department, VVCE, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract In order to re...

Functional electrical stimulation (FES) is the most commonly used system for restoring function after spinal cord injury (SCI). In this study, we used a model consists of a joint, two links with one degree of freedom, and two muscles as flexor and extensor of the joint, which simulated in MATLAB using SimMechanics and Simulink Toolboxes. The muscle model is based on Zajac musculotendon actuator...

Manuscript received December 10, 1999. Manuscript revised March 18, 2000. † The authors are with the Telecom Research Laboratory, Kyushu Matsushita Electric Co., Ltd., Fukuoka-shi, 812-8531 Japan. SUMMARY This paper proposes a fast and simple adaptive algorithm for MMSE (Minimum Mean Square Error) adaptive array antenna or MMSE combining diversity. This algorithm can be implemented with as a sm...

This work considers the practical situation where adaptive systems are subject to a saturation nonlinearity at the output of the adaptive filter. Such is the case in active control of noise and vibration. A new adaptive algorithm is proposed which implements the true stochastic gradient approach to the nonlinear problem. Deterministic nonlinear recursions are derived which model the mean weight...

Synthetic aperture radar (SAR) remote sensing, with its advantages of all-weather coverage, all day/night acquisitions, cloud penetration, and signal independence of the solar illumination angle, can be applied to land cover classification and land consolidation, especially in some regions where optics and infrared remote sensing do not work well. A limitation of its using for land consolidatio...

The systolic architecture is an arrangement of processor where data flows synchronously across array element. To obtain perfect solution parallel computing is use in contradiction. The tremendous growth of computer and Internet technology wants a data to be process with a high speed and in a powerful manner. In such complex environment, the conventional methods of performing multiplications are...

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...