The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Sophisticated cyber attacks by state-sponsored and criminal actors continue to plague government and industrial infrastructure. Intuitively, partitioning cyber systems into survivable, intrusion tolerant compartments is a good idea. This prevents witting and unwitting insiders from moving laterally and reaching back to their command and control (C2) servers. However, there is a lack of artifacts that...
Cyber-Physical Systems (CPS) are composed of computation, networking, and physical processes. Model-based design is a powerful technique to apply mathematical modeling in CPS design. A model of a physical system is the description of variations in some aspects and properties of the system such as motion, velocity, and pressure. The variations of physical quantities such as motion, velocity, and pressure...
The present work presents the design, construction and use of a discrete event simulator for student flow in academic study periods, as a tool to improve the allocation of resources and to make decisions for the reduction of student dropout rates and optimization of the career completion time.
The world has recently witnessed a great tendency towards rapid urban development. This has been accompanied by an increase in the population and a development in the uses of the land, which changes the reality of transport and increases its problems over time. The city of Mansour suffers from traffic jams in certain parts of its road network due to the increase in population and the shift in the...
Simulation of the traffic flow is an effective approach to resolve the traffic congestion problem and expect to elucidate the traffic congestion mechanism. In this paper, we propose a traffic flow model based on the MLD (Mixed Logical Dynamical) system approach which regard the lane change and overtaking behavior. The research revealed that traffic jam spreads from driving lane to overtake lane.
Recently, in the field of building energy efficiency, many works focused on model based energy management services but developing models consistent with a measured reality is still an issue. Fine physical models with many parameters cannot be adjusted while non-physical models cannot extrapolate to situations never met in the training data. In this paper, pure data models will be implemented with...
Model predictive control is a kind of control method based on parameter model. However, in the actual system, the parameters of the motor may deviate from the parameters in the model due to the influence of various objective factors, leading to deterioration of the control performance. In this paper, a strong parameters robustness model predictive current control (MPCC) method for permanent-magnet...
According to the status quo that China's cross-border e-commerce is expanding rapidly, we selected the total imports and exports of China's cross-border e-commerce from 2008 to 2015 with a view to make some predictions. Firstly, using Grey System Theory, we partly establish GM(1,1) model and DGM(1,1) model to forecast and analyze the next five years' total imports and exports of China's cross-border...
This paper proposed the novel concept model for forecasting the PV power output. The model was used two meteorology to input model which are solar irradiance and module temperature. This model was improve the accuracy of model from simplified model is 1D5P by using the weight function. The proposed model was verified by comparison with measured data. The results showed that the model has high accuracy...
A range of photovoltaic (PV) models of different accuracy and complexity are available in the literature. The proper PV model for a particular study is selected based on the desired accuracy and computational time. Although the accuracy of the single diode models is well studied, there is still no available quantification for the computational time needed to simulate a certain PV model. This paper...
One third of the world's population is affected by tuberculosis (TB). This pandemic presents several challenges to the health professionals. Hence, forecasting and controlling TB epidemics play an important role to deal with this disease. Transmission models are valuable tools for projecting and evaluating control strategies against TB, but lack capability to easily integrate noisy information from...
Drones cooperate with each other by transmitting and receiving packets. Therefore, it is important to conjecture the packet transmission rates within the network. However, the conventional methods are not suitable to describe the transmission patterns with satisfactory computing speed and accuracy. In this paper, we demonstrated that machine learning can successfully predict the transmission patterns...
An application of Adaptive Filters (AF) in Desired Signal Extraction (DSE) embedded in Unknown Dynamic System (UDS) is explored in the current research. Least Mean Square Algorithm (LmSA) is utilized in proposed DSE. The UDS is synthesized by adopting Pseudo Random Binary Sequence (PrBS) excitation. To start with the LMSA is educated to converge and adapt its coefficients to the prevailing PRBS signal...
Conventional model based predictive control for cascade H-bridge multilevel STATCOM produces a different switching pattern for different cells. As a consequence, stresses, DC-link imbalance and active power losses are generated among the cells. To solve the aforementioned issues, this paper proposes to include a switcher of redundant vectors on the conventional model based predictive method. Additionally,...
This paper proposed a decoupling predictive current control method for the application of traction line-side converter in high-speed railway. The method adopts a decoupled discrete-time model of the system to predict the future value of input current for all possible voltage vectors generated by the converter. Considering the calculation time, two-step prediction is taken in the scheme. The voltage...
This paper presents a dynamic model predictive voltage control (DMPVC) method for the single-input dualoutput (SIDO) flyback converter. In this converter, cross regulation is one of the most critical issues because its primary winding is shared by its secondary windings so that the two output voltages are interacted with each other. The proposed method has the ability to reduce cross regulation significantly,...
The conventional linear extended state space predictive control(ESSPC) is an effective method to control linear systems. However, the linear ESSPC can not handle the plant which is characterized by nonlinearity. To deal with the nonlinear behavior of boiler-turbine system, in this paper, an improved ESSPC based on T-S fuzzy model is proposed. Firstly, T-S fuzzy model is chosen to describe the global...
International Community can decide to establish several types of sanctions on the economy of a country. No matter the reasons of these sanctions, generally, they can have many adverse effects on the economy of the sanctioned country. This depends on the variety and extent of the sanctions. We propose a system dynamics model to capture some of the main reasons behind the economic instability in a sanctioned...
Although conventional controllers based on PID, Fuzzy logic and Neural networks are able to meet the working requirements, the ever increasing thirst to achieve perfection by reducing overshoots, undershoots, transient and steady state errors have led to Model Predictive Controllers (MPC). These controllers depend on the error between the actual output from the plant and the computed output generated...
This paper proposes a new type of predictor to equip automatic PID controllers. The presented predictor is designed to ensure an adequate control for long time processes, whose evolution in time should be controlled in closed loop. At these processes, as a result of automatic control, the outputs followed run within limits for a period of time which, sometimes, exceeds the period in which the system...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.