In-vehicle controller area network (CAN) is susceptible to various cyberattacks due its broadcast-based communication nature. In this study, we developed a hybrid quantum-classical CAN intrusion detection framework using classical neural (NN) and quantum restricted Boltzmann machine (RBM). The NN dedicated for feature extraction from images generated vehicle’s bus data, while the RBM image reco...

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 Kal...

—The increasing number of Electro within the network of a vehicle is increa complexity of these networks. Thus, fault sophisticated systems becomes more complex paper is to provide a technique to enable detection in a premium vehicle network or a which uses the Controller Area Network (C communication. The fault detection technique based on a sequential behaviour of the CAN n and by using signa...

Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. The task in the problem is to simultaneously find optimal number and location of controll...

In this paper, stabilization of the structural system against earthquake is presented. Because the conventional PD controller is popular and simple in design, our controller is based on PD controller. The main problem of such a controller is its inability to produce desired response and instability against variations in the properties of the structural system. To obviate this issue, the neu...

Smart grids are the latest technology to generate and dispatch an optimal amount of power. Thus, there is a need for stability analysis in smart grid systems. If incorporated into power system, then phasor measurement unit (PMU) used measure voltage, current, frequency. Additionally, central control monitors controls However, possibility inserting wrong data as PMUs transmitting through Interne...

In this paper we present an example of a distributed control system implementing state observer controller. Distribution is based on middleware approach. As the middleware for the hardware and network abstraction we used the LabMap/LabNet. For the controller platform we took MATLAB/Simulink. The approach illustrated in this work offers an outlook for the cases where computational resources are ...

The main objective of Automatic Generation Control (AGC) is to balance the total system generation against system load losses so that the desired frequency and power interchange with neighboring systems is maintained. Any mismatch between generation and demand causes the system frequency to deviate from its nominal value. Thus high frequency deviation may lead to system collapse. This necessita...

The continuous time Linear Quadratic Regulator (LQR) theory has been implemented in the present work for the design of optimal Proportional Integral(PI) controller for the frequency response enhancement of multi area interconnected power system . The PI controller gains as proportional gain (Kp) and integral gain (Ki) are formulated as the optimal state-feedback gains, corresponding to the stan...

A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...