We propose the design of an adaptive cruise controller (ACC) of a Smart vehicle as a benchmark set up for methods developed for piecewise affine (PWA) systems based on model predictive control (MPC) arguments. The control law of the system aims at achieving a trade-off between tracking and fuel consumption while guaranteeing specific constraints, related to physical limitations, safety/comfort ...

Abstract. This work address the general problem of resilient control of unknown stochastic linear time-invariant (LTI) systems in the presence of sensor attacks. Motivated by a vehicle cruise control application, this work considers a first order system with multiple measurements, of which a bounded subset may be corrupted. A frequency-domain-designed resilient adaptive controller is introduced...

Using fuzzy logic controller, a sophisticated algorithm for adaptive cruise controller systems is proposed. The presented architecture can control the vehicle acceleration in a very simple and efficient way. The new algorithm is simulated in an artificial environment using MATLAB. In comparison with previous works, simulation results of the proposed algorithm have a much smoother output for con...

In this paper a closed-loop cruise controller to minimise the running costs of the heavy-haul train is proposed. Consideration is given to velocity tracking, intrain force and fuel consumption, as well as optimisation of them. To overcome the communication constraints, a fencing concept is introduced whereby the controller is reconfigured adaptively to the current track topology. Simulation res...

Diese Arbeit stellt ein strukturiertes Verfahren zum Generieren von Testumgebungen aus textuellen Anforderungsbeschreibungen mittels UML und der Klassifikationsbaummethode für eingebettete Systeme vor. Nach der Umsetzung in eine textuelle Normalform werden die hieraus automatisch erzeugten UML-Klassen schrittweise in eine Form transformiert, die in erweiterte Klassifikationsbäume übersetzt wird...

The capacity of public roads has become a serious problem all over the world. The traffic is constantly increasing, while the capacity remains almost the same. This causes traffic jams and road accidents. An effective way to increase the road throughput employs vehicular platoons, which allow to decrease inter-vehicle distances without compromising road safety. The urgent necessity to increase ...

an adaptive version of growing and pruning rbf neural network has been used to predict the system output and implement linear model-based predictive controller (lmpc) and non-linear model-based predictive controller (nmpc) strategies. a radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.an unscented kalman filter (ukf) algor...

A procedure for the data driven generation of fuzzy rules is described, which was used in the development of an adaptive fuzzy controller to assist the driver in vehicle speed and distance control. The driver stays remains in the control loop of the ACC (Adaptive Cruise Control) through haptical feedback via the accelerator pedal. Thus, the control of the pedal behavior is crucial for the syste...

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...