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Interaction with non-rigid objects poses a challenge for manufacturing systems. The dimensions, locations and physical properties of soft-tissue objects like fruit or meat are subject to considerable variation and uncertainty. Possible ways to accommodate this are to use a number of different types of sensors and actors. However, a control system physically located next to a manufacturing system is...
The recent advancement of industry automation is underpinned by the continuous development of the industrial network. This exponential growth is driving the fourth generation industry revolution (FGIR). To meet the requirement of FGIR, there is an ongoing evolution of industrial network from Fieldbus to Ethernet that has emerged a new opportunity to integrate Software Defined Networking (SDN) technique...
Virtual data centers (VDCs) are among competitive advantages offered to businesses by cloud computing. Through VDCs, organizations can use a pool of on-demand virtual infrastructures in the form of a data center without paying the up-front costs of an actual data center. With the advent of software-defined networks (SDNs), it is now possible to provide the VDC's tenants with overlay SDNs to cover...
Operating system level virtualization containers are commonly used to deploy virtual network functions (VNFs) which access the centralized network controller in software-defined networking (SDN) infrastructure. While this allows flexible network configuration, it also increases the attack surface, as sensitive information is transmitted between the controller and the virtual network functions. In...
Commit comments increasingly receive attention as an important complementary component in code change comprehension. To address the comment scarcity issue, a variety of automatic approaches for commit comment generation have been intensively proposed. However, most of these approaches mechanically outline a superficial level summary of the changed software entities, the change intent behind the code...
Article deals with the problem of simulation modeling of robust control system for nonlinear plants with the input signal saturation, functioning under a priori uncertainty conditions and in the presence of several statement delays. With the help of computational experiments, the quality of the control system operation under various initial conditions of the controlled plant is illustrated.
In this paper, we answer the question of to what extend selective decentralization could enhance the learning and control performance when the system is noisy and unknown. Compared to the previous works in selective decentralization, in this paper, we add the system noise as another complexity in the learning and control problem. Thus, we only perform analysis for some simple toy examples of noisy...
This paper suggests an approach towards an intelligent and automatic management of a railway transportation system in order to prevent hazards like collisions and derailments. The system is designed as such that it is most viable for Bangladesh, however, it can also be easily implemented at any other railway infrastructure. The system features active train detection using global navigation satellite...
The article is devoted to the movement study of the unmanned aerial vehicle, type tricopter, with three controllable drives, all the propellers of which are rotary. The UAV is equipped with swept wings that allow it to provide aerodynamic stability. During take-off and landing the rotors work as lifting rotors, and while moving in the horizontal plane they work as the traction ones, shifting the plane...
The paper proposes a general approach to the development of neural network algorithms for determining the values of signal parameters in radio-electronic, telecommunication, and information systems from the functional level to the level of nano-elements; the approach is based on the principles of data, image, and signal recognition. Implementation of this general approach is illustrated by a neural...
Synchronic-in-phase electric drive is widely used in thermal-imaging and laser scanning systems due to high accuracy characteristics in the wide range of angular speed regulation. The point of the article is to examine the application features of impulsive phase-frequency discriminator with extended functional abilities by implementation of different methods of electric drive control with phase synchronization...
In this paper, we employ a macroscopic traffic model and RBF neural network to address highway density control problem. This control system is a nonlinear feedback closed-loop system. Firstly, a popular traffic model called the LWR (Lighthill-Whitham-Richards) model is formulated. Secondly, a direct RBF neural network control for discrete-time nonlinear systems is introduced. The control algorithm...
Aiming at that it is difficult to choose the value of virtual damping(VD) in passivity-based controller of the Boost converter, this paper proposes an approach which can be used to calculate and optimize the value of VD. The range of VD can be determined by constraining overshoot of the current response of Boost converter. The optimal VD can be found in the range of VD by genetic algorithm(GA) and...
This paper focuses on the systematic design and development of an optimized embedded system platform from ground up to handle special real-time requirements of control applications. An embedded system is usually embedded as a part of a complete device including hardware and mechanical parts, and both the hardware system and the software system are tailored and optimized to realize specific functions...
Periodic event-triggered control for the consensus problem of multi-agent systems is investigated in this paper. Triggering conditions are discussed in two cases: 1) with communication between neighbors at each verification time, 2) with communication at triggering times. Based on Lyapunov theory and algebraic graph theory, consensus conditions on the verification period and triggering condition parameters...
Model predictive control (MPC) relies heavily on the accurate mathematical model which is usually difficult to be obtained. Parameters of permanent magnet synchronous motor (PMSM) would be changed in real time and influenced by uncertain factors. For this purpose, this paper proposes a multiparameter identification strategy for PMSM based on MPC. The simulation is carried out and its results show...
Based on in-depth research on the characteristics of the current train receiving and departure operations of China's railway stations, the urgent need of traffic standardization, automation and safety control and the status quo of the construction of the traffic command system in China, the overall scheme for the establishment of a TDCS/CTC-based train receiving and departure operation management-control...
The most of Chinese high-speed railway lines are using CTCS-3 train control system to ensure the safety of the train. In the CTCS-3 train control system, the way of the location for on-board equipment is different from the ground equipment. The way of location for on-board equipment is based on the balise positioning and speed transmitter, but the ground equipment is based on the track circuit. Due...
Communication data in the communication network of the islanded micro-grid can be disturbed by many methods, such as data attack or packet loss. In order to overtake the communication data disturbance (CDD), a new hierarchical control structure is proposed in the paper. Based on the concept of cyber physical system (CPS), the control structure is divided into two layers: cyber layer and physical layer...
This paper discusses how to achieve high PV penetrations for a hybrid diesel-PV micro-grid via the means of a cloud forecasting system. The micro-grid control system utilizes cloud forecasts to forecast PV transients and manage online diesel generation. Simulation results for the test micro-grid showed that an array size of 2 MW achieved an energy penetration of 30.8% with «11.5 annual faults. Additionally,...
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