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Traceroute is a very useful troubleshooting tool. It reveals the routing path taken by a packet destined to a remote host. Traceroute is originally designed for the legacy IP network. However, the mechanism used by it does not work in an SDN network. In an SDN network, there has been a similar tool called SDN traceroute that provides similar functions as traceroute. However, SDN traceroute does not...
In this paper, we design and implement a scheme to build an optimal spanning tree over a hybrid network composed of SDN and legacy switches. SDN is an emerging network technology and gradually gaining adoption worldwide. However, during the technology transition period, which may last several years from now on, inevitably SDN switches and legacy switches will need to coexist in a network. In a legacy...
Due to uncertainties exist in the applications of the permanent magnet synchronous motor (PMSM) servo drive which seriously influence the control performance. The integral back stepping controller and adaptive recurrent neural network uncertainty observer (RNNUO) is proposed to control the rotor of the PMSM to track periodic references in this paper. Firstly, the field-oriented mechanism is applied...
An integral backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using adaptive fuzzy neural network uncertainty observer (AFNNUO) in this paper. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an integral backstepping approach is proposed to control the motion of PMSM...
In this paper an adaptive backstepping control system is proposed to control the rotor position of a permanent magnet synchronous motor (PMSM) drive using recurrent fuzzy neural network (RFNN). First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, an adaptive backstepping approach is proposed to compensate the uncertainties in the motion control...
An automotive anti-drunk driving system with real-time monitoring is introduced. The system guarantees the uniqueness of the driver by combining the function of alcohol detection and face identification system, putting forward the design of combination of the alcohol main detection and the image processing auxiliary surveillance. It can eradicate the fraudulent conduct that drunk driving and driver...
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), Hinfin tracking control schemes, smooth control and adaptive laws to design an adaptive fuzzy sliding model controller for the rapid and efficient stabilization of complex and nonlinear systems. First, we utilize a reference model and a fuzzy model (both involving rules) to describe and well-approximate an...
Motivated by the recent works in parameterization of multivariable plants [1] [2], a new robust model reference control scheme using variable structure design (VSD) concept is proposed in this paper which contributes to improve the performance of the control system. The main contribution of this paper is the extension of [5] into multivariable case with unmodeled dynamics and output disturbances....
In the field of decentralized adaptive control, there still has not been researched which deal with model reference adaptive control (MRAC) of interconnected multivariable plants. Through appropriate parametrization process of each isolated multivariable subsystem, this paper shows that by combining the decentralized MRAC schemes [8] with a variable structure control law [2] the output tracking error...
We study the fuel control problem of a single-spool turbojet engine. A transfer function approximation method is utilized to identify linear models about operating points. Then, a sliding mode control is developed to regulate the fuel flow so that the engine speed and temperature are within their physical constraints, based on the identified linear models. The resultant variable structure control...
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