This paper discusses cooperation applied to a platoon of electric vehicles using an Eco-Driving Optimal Controller (EDOC). The proposed algorithm is evaluated in terms energy efficiency and string compactness comparison with the non-cooperative EDOC standard adaptive cruise control drive cycle based scenario. A theoretical analysis stability without presented. simulation results show that coope...

in this paper an adaptive pid controller for wind energy conversion systems (wecs) has been developed. theadaptation technique applied to this controller is based on reinforcement learning (rl) theory. nonlinearcharacteristics of wind variations as plant input, wind turbine structure and generator operational behaviordemand for high quality adaptive controller to ensure both robust stability an...

In this paper, an optimal adaptive sliding mode controller is proposed for anti-synchronization of two identical hyperchaotic systems. We use hyperchaotic complex T-system for master and slave systems with unknown parameters in the slave system. To construct the optimal adaptive sliding mode controller, first a simple sliding surface is designed. Then, the optimal adaptive sliding mode controll...

In this study, an Adaptive Cruise Control system is designed by using conventional Proportional Integral Controller (PID) and Model Predictive (MPC). the design, vehicle, acceleration, deceleration models are constructed in a way to sim-ulate real-life environment. The design simulation were carried out through Matlab Simulink. order investigate effects of gains PID controller, several values f...

This paper proposes a nonlinear H∞ controller for stabilization of velocities, attitudes and angular rates of a fixed-wing unmanned aerial vehicle (UAV) in a windy environment. The suggested controller aims to achieve a steady-state flight condition in the presence of wind gusts such that the host UAV can be maneuvered to avoid collision with other UAVs during cruise flight with safety guarante...

model predictive controller is widely used in industrial plants. uncertainty is one of the critical issues in real systems. in this paper, the direct adaptive simplified model predictive control (smpc) is proposed for unknown or time varying plants with uncertainties. by estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

We introduce a structured methodology for the generation of executable test environments from textual requirement specifications via UML class diagrams and the application of the classification tree methodology for embedded systems. The first phase is a stepwise transformation from unstructured English text into a textual normal form (TNF), which is automatically translated into UML class diagr...

Recent development in wireless technology enables communication between vehicles. The concept of cooperative adaptive cruise control (CACC)–which uses wireless communication between vehicles–aims at string stable behavior in a platoon of vehicles. “String stability” means any non-zero position, speed, and acceleration errors of an individual vehicle in a string do not amplify when they propagat...

Functional Verification is well-accepted for Electronic System Level (ESL) based designs and is supported by a variety of standardized Hardware Verification Languages like PSL, e, and SystemVerilog. In this article, we present the classification tree method for functional verification (CTM/FV) as a novel method to close the gap from the verification plan to the specification of randomized tests...