A nonlinear mathematical model of a feed-batch fermentation process of Bacillus thuringiensis (Bt.), is derived. The obtained model is validated by experimental data. Identification and direct adaptive neural control systems with and without integral term are proposed. The system contains a neural identifier and a neural controller, based on the recurrent trainable neural network model. The app...

This paper considers the design and implementation of an electro-hydraulic control system for a robotic excavator, namely the Lancaster University Computerised and Intelligent Excavator (LUCIE). The excavator is being developed to autonomously dig trenches without human intervention. Here, a gain scheduling design, based on Proportional-Integral-Plus (PIP) control methods, is utilised to regula...

In this work, a new control scheme for synchronization of AC microgrids with upstream power grid is presented. The effects of V2Gs (vehicle to grid) dynamics on synchronization process is studied. This new control approach is based on the optimal fractional calculus and has been developed for synchronization of the microgrid. The V2Gs effect on the dynamics of the microgrid is analyzed through ...

This work proposes a new kind of trajectory tracking controller for the differential drive mobile robot (DDMR), namely, nonlinear neural network fractional-order proportional integral derivative (NNFOPID) controller. The suggested controller’s coefficients comprise integral, proportional, and gains as well powers. adjustment these turns design proposed NNFOPID control further problematic than c...

This work initially focuses on developing a computational fluid dynamics (CFD) model of an industrialscale steam methane reforming reactor (reforming tube) used to produce hydrogen. Subsequently, we design and evaluate three different feedback control schemes to drive the area-weighted average hydrogen mole fraction measured at the reforming tube outlet ( x̄H outlet 2 ) to a desired set-point va...

Safety has being a concern as result of the high rate road accidents and led to development driver assistance system such Active braking, Cruise Control, Lane departure warning lane keeping etc. become very active research area. However, this paper presents performance robustness analysis model predictive control proportional integral derivative for maneuvers an autonomous vehicle using compute...

Haptic devices had known as advanced technology with the goal is creating experiences of touch by applying forces and motions to operator based on force feedback. Especially in unmanned aerial vehicle (UAV) applications, position end-effector Falcon haptic sets velocity command for UAV. And can feel experience vibration acceleration or collision other objects through a feedback device. In some ...