Automotive security has gained significant traction in the last decade thanks to development of new connectivity features that have brought vehicle from an isolated environment externally facing domain. Researchers shown modern vehicles are vulnerable multiple types attacks leveraging remote, direct and indirect physical access, which allow attackers gain control affect safety-critical systems....

Modern vehicles are becoming complex cyber-physical systems equipped with numerous electronic control units (ECUs). Over the controller area network (CAN), these ECUs communicate each other to share information related vehicle status as well commands efficiently vehicle. However, increasing complexity of modern has inadvertently expanded potential attack surfaces, making them vulnerable cyber a...

The current paper investigates the influence of packet losses in network control systems (NCS’s) using the model predictive control (MPC) strategy. The study focuses on two main network packet losses due to sensor to controller and controller to actuator along the communication paths. A new Markov-based method is employed to recursively estimate the probability of time delay in controller to ac...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...

Most robot arms use a central control box that contains the power electronics, .. the motor controllers and the coordinating computer. This paper presents a distributed control network that allows the power electronics and motor controllers to be placed adjacent to the motors. Each controller uses a DSP for all motor control w~th the individual controllers communicating wIth each other and a ho...

The wing rock motion is mathematically described by a nonlinear differential equation with coefficients varying with angle of attack. In this paper, a neural-network-based adaptive control system is developed for the wing rock motion control. The adaptive controller comprises a neural network controller and a compensation controller. The neural network controller using a recurrent neural networ...