International Journal of Systems, Control and Communications (12 papers in press)
Fractional PID min-max optimization-based design using dominant pole placement
by Bchira Saidi, Amairi Massaoud, Najjar Slaheddine, Aoun Mohamed
Abstract: This paper deals with a new design method of a fractional order PID controller for time-delay systems based on min-max numerical optimization. The proposed design method uses a constrained optimization algorithm to determine the unknown parameters of the controller. The main objective of the proposed method is improving the transient time response, the stability margin, the robustness and the load disturbance rejection capability. All these performances are tested through simulation examples.
Keywords: fractional PID controller.
INTELLIGENT INFORMATION PASSING ABOUT ROAD TRANSPORT USING GSM AND GPS
by M. BALAMURUGAN, Karthik N
Abstract: The main intention of this project is to find the accident spot and pass the location information to passengers neighbours and also to nearby police station, hospitals through the GPS and GSM networks. Now-a-days, it becomes very difficult to know that where an accident occurred and to locate the vehicle. Its very difficult for the lives of victims until anyone noticed and informed about the information to the nearby police station, hospitals and passengers neighbours. If the accident occurs in remote areas there will be no hope to survive. In this project a programmed a GPS / GSM module incorporating a crash detector (vibrating sensor) to report automatically to the nearby police station, hospitals, and passengers neighbours. The information shares the location of the accident via the GSM communication platform (using SMS messaging). This will allow quickly and early response and rescue of accident victims; saving lives and properties. The paper reports its experimental results, with appropriate conclusions and recommendations.
Keywords: GPS; GSM; RFID; LCD,SS; BSS; OSS.
A Survey on Current and Next Generation Aircraft Collision Avoidance System
by Debajit De, Prasanna Kumar Sahu
Abstract: To reduce the possibility of midair collisions, the Federal Aviation Administration (FAA) has developed the Traffic Alert and Collision Avoidance System or TCAS. In 1974, FAA asked MIT Lincoln Laboratory to develop this surveillance system which they did over the next several decades and till now in its current manifestation, TCAS is mandated worldwide on all large aircraft and has prevented several catastrophic accidents by improving the safety of air travel. This airborne system senses the presence of nearby aircraft by interrogating the transponders carried by these aircraft. In this paper, an overall description of the existing TCAS system is presented, followed by a detailed description of the system, its different classes and the functions performed by this collision avoidance system. The current collision avoidance system TCAS has been in operation for more than a decade and it has also proven to be highly effective tool in preventing the aircraft collisions in mid-air. But major transformations to the National Airspace System are being implemented through the FAAs Next Generation Air Transportation System (NextGen) in the coming years and that will require substantial modification to the existing system. Recently, Lincoln Laboratory has been pioneering the development of a new collision avoidance system which is Airborne Collision Avoidance System X (ACAS X). This survey article also describes the basic concept behind ACAS X and briefly demonstrates how this new flexible approach to collision avoidance logic is fully compatible with NextGen airspace procedures and technologies. The aim of this work is to review, understand and compare the current and next generation aircraft collision avoidance system.
Keywords: TCAS; FAA; ACAS X; NextGen; TA & RA; UAV; General Aviation.
A Game Theoretic Model and a Distributed Admission Control Scheme for Quality of Service Routing
by Paolo Conforto, Francesco Delli Priscoli, Alessandro Di Giorgio, Lorenzo Ricciardi Celsi
Abstract: In this paper, we present an innovative distributed Quality of Service routing scheme suitable to operate in networks of general topology implementing a Diff-Serv service model for QoS support. The proposed scheme is based on a game theoretic non-cooperative model which exploits, on the one hand, the topological information distributed within the network by the current (non-QoS) link-state and distance-vector routing protocols and, on the other hand, the QoS information locally available at the node where the forwarding process takes place. Path selection is realised hop-by-hop by playing a game at each node along the route from source to destination. Each nodes game may be seen as a game played in a simpler parallel link network model provided that a stability condition is satisfied at each node (i.e., each node has enough capacity to deliver the whole received traffic of each Class of Service). In order to guarantee the respect of such a stability condition at each node, a Distributed Admission Control (DAC) scheme is proposed to jointly operate with the non-cooperative routing scheme. The DAC decides if a new flow can be accepted without violating the nodes stability constraints and provides each node with cumulative information about the status of the network downstream from its outgoing links.
Keywords: Distributed Admission Control (DAC); Differentiated Service (Diff-Serv) model; game theory; Nash equilibrium point; Quality of Service (QoS) routing.
A Novel Terminal Sliding Mode Observer with RBF Neural Network for a Class of Nonlinear Systems
by Reza Ghasemi, Amin Sharafian
Abstract: A novel scheme for designing a new observer with combining radial basis function neural network (RBFNN) and terminal sliding mode approaches is presented. Terminal sliding mode adopted to cover the effects of internal disturbances of the system and neural network handles the problem of uncertainties and unmodeled dynamics. Convergence of the observer error to zero and accurate estimation of uncertainties of the nonlinear system are the main advantages of the proposed observer. This observer is designed based on output injection method in which the error is injected to the next state in every step until it reaches the last state of the system. Eventually, the error is suppressed and converged to zero in the last state by applying RBFNN. The
stability of neural network weights which are updated adaptively and the error dynamic are guaranteed by the Lyapunov theory. Finally, the simulation result shows the promising performances of the proposed observer.
Keywords: RBFNN; state estimation; neural observer; nonlinear systems;terminal sliding mode observer; output injection.
Selection of High Quality Path through MXAODV in Mobile Ad-Hoc Network
by Anupama Sharma, Abhay Bansal, Vinay Rishiwal
Abstract: Selection of high quality path in mobile ad-hoc network is a critical issue due to mobility of nodes and variable channel conditions during data transmission. Path containing smallest number of hops generally performs less due to some links on those paths may have low or marginal quality. Mean loss ratio of link is also not a perfect way to estimate link quality, mean channel condition is not realistic. Hence, link quality estimation on the basis of loss ratio in burst loss conditions of different channels is significant. Incorporation of loss variance for a link in its quality estimation through mETX (modified expected transmission count) is the main aim of the proposed protocol to improve the communication efficiency in mobile ad-hoc networks. This paper describes the design and implementation of proposed routing protocol named as MXAODV (Modified eXpected transmission count enabled Ad-hoc On-demand Distance Vector). Extensive simulation has been done to analyse the performance of MXADOV. Significant improvements found in terms of throughput, packet delivery fraction, normalized routing load and end-to-end delay.
Keywords: Link quality; routing protocols; MANET; MXAODV; mETX; ETX; ETX-AODV; RSAODV; AODV; EWMA.
Condition monitoring of bevel gear box using Morlet Wavelet coefficients and na
by Saravanan, Natarajan
Abstract: A na
Keywords: Fault diagnosis; statistical features; Morlet wavelet; na.
A hybrid bio-inspired approach to solving the routing problem in mobile ad hoc networks
by Said Labed, Akram Kout, Salim Chikhi, El-Bay Bourennane
Abstract: A mobile ad hoc network (MANET) is an autonomous system of mobile hosts (nodes) connected by a wireless link. However, the problem of designing routing protocols poses challenges to researchers due to the unpredictable and dynamic nature of ad hoc networks. Hence, bio-inspired algorithms are widely used to design adaptive routing strategies for MANETs. This paper proposes a routing protocol based on the hybridisation of ant colony optimisation (ACO) and 2-opt heuristic with the optimisation of ACO parameters. Given the vast scope of the parameters, a genetic algorithm is used to minimise the complexity of the problem. The implementation of the method is realised by MATLAB. To valid the results in terms of the quality of service parameters (i.e., normalised overhead load, end-to-end delay and throughput), a comparison was conducted using the ad hoc on-demand distance vector routing protocol.
Keywords: mobile ad hoc network; MANET; bio-inspired routing; ant colony optimisation; ACO; genetic algorithm; routing protocols; QoS.
Optimality conditions for optimal control under parametric representation of interval uncertainty
by Omid Solaymani Fard, Mohadeseh Ramezanzadeh
Abstract: The purpose of this paper is to offer a new approach that enables the decision maker to investigate optimal control problems under uncertainty (undetermined) processes. To this end, using the novel parametric representations of interval quantities as in Ramezanzadeh et al. (2015) the approach is developed to find a candidate for the solution of interval optimal control problem. Furthermore, necessary and sufficient optimality conditions are provided which guarantee the candidate solution to be optimal. Finally, some examples are given to show the main results, more specifically, a discussion on the interval optimal control governed by half-model of a car is also presented.
Keywords: interval number; interval-valued function; interval optimal control problem; necessary condition; sufficient condition.
Fuzzy autonym MFs to improve complex grid network security by fuzzy implication PSO algorithm for dealing of islanding ADCS mode
by K. Harinadha Reddy, S. Govinda Raju
Abstract: The network system with bigger number of and connectivity computing nodes during the operation is a big challenge. Fuzzy based inference system is elaborately presented with variable weighted random parameter of particle swarm optimisation (PSO), cognitive and social terms. The main content of this paper is that of data handling and concentrated in elaborating the modelling to complete this task for abnormal disturbance conditional state (ADCS) mode. For application point of view, grid network with non-conventional energy systems like distribution generators and micro grids is considered to manage and treatment data in practical environment. This paper presents up to date fuzzy memberships (FMFs) and are obtained at every sampling interval. Also, control vector from fuzzy system are used to modify PSO algorithm for essential analysis and identification and differentiation of data on user required satisfy level. This paper presents auto updating FMFs, i.e., autonym fuzzy memberships (AFMFs) and proposed fuzzy implication PSO (FIM-PSO) for analysis and hence identification of ADCS mode.
Keywords: fuzzy inference system; fuzzy memberships; FMFs; particle swarm optimisation; PSO; personal best data sets; PBDS; global best data sets; GBDS; abnormal disturbance conditional state mode; ADCS.
Sensitivity evolution in quantum Hamiltonian estimation
by Yanjun Zhang, Lu Wang, Jun Zhang
Abstract: In this paper we investigate the sensitivity evolution in estimating the unknown quantum Hamiltonian parameters. We apply Kullback-Liebler (KL) divergence to quantify the difference of quantum measurements between deviated and authentic parameter values. From explicit formula for the Fisher information matrix (FIM), we can calculate the second order approximation of the KL divergence. For several quantum mechanical systems, we use this analytical method to investigate the sensitivity evolution of estimating the underlying unknown parameters. We find that in all these examples the FIM is divergent, which indicates that it is possible to design an unbiased estimator that yields the unknown parameters precisely.
Keywords: parameter estimation; Fisher information matrix; FIM; sensitivity evolution.
Performance analysis of high gain beamforming conformal array for avionic applications
by Anurag Singh, Sandip Vijay, Rudra Narayan Baral
Abstract: In modern wireless avionic systems like aircraft, radar, missile and satellite communication, demand wideband or multiband antennas to improves the data rate transmission. In this paper, two slotted patches are asymmetrically assembled on a cylindrical thick foam substrate to obtain high gain, wide bandwidth and wide angular coverage for avionic applications. The reported antenna is operating in 3.8 GHz band with a bandwidth of 421 MHz, E-plane −3 dB HPBW of 150° and H-plane HPBW of 62°. The measured realised gain of the antenna is above 6 dBi throughout the operational band. The prototype of the proposed configuration is fabricated and showing good agreement with simulated results.
Keywords: antenna array; conformal antenna; CA; high gain antenna; wideband antenna; wide-beam antenna.