Control...

This paper introduces an MLP-based neuro-controller with a learning algorithm that guarantees the stability of a class of closed loop neural network control systems. The underlying control system represents a special class of non-linear systems...

his paper introduces a novel nonlinear feedback for locally stabilizing a class of multi-input nonlinear systems consist of a linear system together with saturated and rate limited actuators. No assumption is made on the ...

Two field experiments were carried out in order to evaluate the effects of planting date, method and

date of weed control on yield and yield components of cumin in the experimental research field,

Faculty of Agriculture, during 2006...

This paper proposes an enhanced brain emotional learning-based intelligent controller (BELBIC) for synchronous reluctance motor (SynRM) drives. The controller is based on an emotional learning and decision making mechanism in the brain via...

A semiactive control method for seismically exited nonlinear bench mark building equiped with a magnetorheological damper is presented and evaluated.The magnetorheological dampers generating great interestamong researchers in the field of semiactive...

The boost converter is a non-minimal phase system with a right-half-plane zero in the transfer function. Accordingly, a slow dynamic controller is designed to control the converter. This paper proposes a bump-less multi-level PI control scheme for a...