Forthcoming and Online First Articles

International Journal of Modelling, Identification and Control

International Journal of Modelling, Identification and Control (IJMIC)

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International Journal of Modelling, Identification and Control (17 papers in press)

Regular Issues

  • Outlier detection algorithm based on deviation characteristic   Order a copy of this article
    by Yong Wang, Hongbin Wang, Pengcheng Sun, Xinliang Yin 
    Abstract: Outlier mining focuses on researching rare events through detection and analysis to dig out the valuable knowledge from them. In the static data set environment, the traditional LOF algorithm calculates the local outlier factor through the whole data set and requires a lot of computing time. To solve this problem, the algorithm divides the data space into grids, and calculates the local outlier factor based on the centroids of the grids. Since the grid number is less than data point number, the time complexity is obviously reduced under acceptable error. When the new data points are added, it can rapidly detect outliers. The contrast experiment results show that the new algorithm can reduce the computation time and improve the efficiency, while achieving comparable accuracy.
    Keywords: outlier detection; local outlier factor; deviation characteristic; fast LOF detection algorithm.

  • New approach for online parameters identification for non-holonomic mobile robots   Order a copy of this article
    by Jean Marie Lauhic Ndong Mezui, Dieurdonné Ekang, Donatien Nganga-Kouya, Maarouf Saad, Aime Francis Okou 
    Abstract: The dynamic models that represent robotic systems greatly condition the strategies used for the design of their control systems. The accuracy of the model parameter values can have a significant impact on the closed-loop system performance. This paper proposes an innovative method for the online parameters identification (IOPI) of a non-holonomic mobile robot. The proposed method enables to find the inertia accurately, mass and friction parameters in the robot's model and it does not require the drive wheel input torques to be sufficiently rich signals. The identification algorithm is based on the resolution of a system of linearly independent equations. The number of equations is equal to the number of unknown parameters to be estimated. The simulation results show that with the proposed method, the estimated parameters quickly converge to the real parameters of the non-holonomic mobile robot, contrary to the recursive least squares (RLS) method.
    Keywords: non-holonomic mobile robot; parameter estimation; iterative identification in continuous time of Newton; recursive least squares method.
    DOI: 10.1504/IJMIC.2023.10059396
  • An adaptive distributed access control model for IoT and fog computing environments   Order a copy of this article
    by Lalla Amina, Charaf, Imam, Alihamidi, Anass, Deroussi, Abdessalam Ait Madi, Adnane Addaim, My El Hassan Charaf 
    Abstract: In this paper, we present a framework for handling access control in fog-based implementations. In order to accommodate the distributed aspect of the proposed fog-based architecture, we extend XACML-based control to a distributed adaptive XACML model (DA-XACML). As a main contribution, we define the layers of our architecture, the communication scheme between the different components of the architecture, and how to integrate DA-XACML to overcome the drawbacks of centralised access control solutions in the Core Cloud. Finally, we provide a simulation of our approach in an eHealth case study using the iFogsim2 simulator. Based on simulation results, the fog-based implementation not only yielded low energy use, network utilisation, delay, and policy execution cost, but also improved simulation time compared with cloud-based implementations.
    Keywords: fog computing; IoT; security and privacy; XACML; access control.
    DOI: 10.1504/IJMIC.2023.10057172
  • Refined vector control structure and indirect MPPT for grid-connected DFIG-based wind energy conversion system, and appraisal on matrix converter interface   Order a copy of this article
    by Gayathri Kalimuthu, Jeevananthan Seenithangam 
    Abstract: The grid integration of wind energy conversion systems involving doubly fed induction generators is actualised by either the two-stage power converter (TSPC: back-to-back converter) or the single-stage power converter (SSPC: matrix converter). Though earlier vector control attempts have been successful in achieving independent active and reactive power control, they result in high ripples and poor power quality. This paper develops a refined vector control structure and incorporates a new indirect maximum power point tracking by exploiting the rule of thumb that for every wind speed, there is a unique optimal electromagnetic torque that extracts the maximum power. An arrived variant of the suggested control structure is suitable for the SSPC drive. The TSPC assumes a stator flux-oriented control (SFOC) for the rotor side converter and a voltage-oriented control for the grid side converter, while a single SFOC is employed in the SSPC. A real-time data driven simulation study on a 2 MW DFIG system demonstrates both disturbance rejection and tracking abilities.
    Keywords: doubly fed induction generator; single-stage power converter; two-stage power converter; Venturini modulation; wind energy conversion system; total harmonic distortion.

  • Mathematical model for impact of awareness of COVID-19 vaccination among the youth of Kenya   Order a copy of this article
    by Ancent Makau Kimulu, Abayomi Samuel Oke, Mark Kimathi, Charles Ndambuki Muli, Samuel Musili Mwalili, Winifred Nduku Mutuku 
    Abstract: Approximately 124 million cases of COVID-19 infections have been confirmed; with over 2.7 million deaths globally. Vaccines have been developed to control and contain the spread of COVID-19. However, due to the combined effects of misinformation and unawareness about the vaccines, 52% of the Kenyan youths (aged 18-35 years) are hesitantly waiting to see what happens to the vaccinated. As a result, this study models the effects of awareness on vaccine uptake among the youths in Kenya through the use of televisions, radios and social media platforms. The disease-free equilibrium (DFE) point and endemic equilibrium point of the model are obtained by setting the derivatives to zero. The reproduction number are determined by using the next-generation matrix. The condition for stability of the DFE is shown in relation to the reproduction number. The DFE was stable when the reproduction number R_0 < 1 and unstable when R_0 > 1. It is found that both means of awareness reduced the COVID-19 infections. A simultaneous use of the methods increases the number of Kenyan youths taking the COVID-19 vaccines and consequently, further reducing the number of infections among the youths.
    Keywords: COVID-19; next-generation matrix; coronavirus; awareness; vaccination.
    DOI: 10.1504/IJMIC.2023.10058163
  • Modelling of creep deformation in an annular rotating disc composed of Si-Ti-C-O fibre-bonded ceramic matrix composite using Seth's transition theory   Order a copy of this article
    by Shivdev Shahi, Gagandeep Kaur, Abhishek Sharma, P. Basker 
    Abstract: Mathematical modelling of creep deformations in annular discs experiencing high centrifugal forces using transition theory is of much significance owing to its well established reliability. In this paper, transition theory has been implemented to obtain these stresses, strain rates and displacement in a disc composed of Si-Ti-C-O fibre-bonded ceramic matrix composite, which exhibits transversely isotropic macro and micro structural symmetry. The disc has a circular perforation at the centre. The analytical solution for creep transition state further uses the material constants that have been taken from available literature or have been obtained from the transmitted wave velocities measured by a double-through-transmission method. The results of the analytical solution are plotted graphically for varying radii ratios. It is observed that with increase in centrifugal forces, there is an increase in the magnitude of radial and circumferential stress concentrations at the internal surface of discs which diminish outwards. Likewise the strain rates have been observed.
    Keywords: creep; composite; ceramic; stresses; strain.
    DOI: 10.1504/IJMIC.2023.10055100
  • Intrusion detection using a SV-SMOTE method in IoMT   Order a copy of this article
    by Yonglai Zhang 
    Abstract: Intrusion detection for the internet of medical things (IoMT) is particularly important because of the problem of network attacks. Network security has become more serious during the COVID-19 pandemic. To address the problem that edge servers in IoMT are vulnerable to network traffic attacks, we propose a SV-SMOTE oversampling algorithm, and construct an IoMT intrusion detection model with machine learning algorithms as the main body. Using a benchmark dataset of network attacks, the random forest, oversampling and XGBoost algorithms are used in the proposed model for intrusion detection comparison experiments, respectively. This study makes a significant research contribution by proposing a new methodological approach to unbalanced data sets, which can lead to improved performance of classification models. The experimental results show that the proposed method can effectively detect network traffic attacks.
    Keywords: SV-SMOTE; random forest; XGBoost; internet of medical things; IoMT; intrusion detection.
    DOI: 10.1504/IJMIC.2023.10055523
  • Upgradation of the automatic voltage regulator dynamic response by an optimally tuned fractional order controller   Order a copy of this article
    by Manjusha Silas, Surekha Bhusnur 
    Abstract: The performance of an automatic voltage regulator (AVR) system is of prime importance in the power system. This work contributes a significant approach to enhance the performance of an AVR system using a fractional order PID (F OP ID
    Keywords: AVR system; (F OP IλDµ) controller; optimiser algorithm; robust control; cost Function.
    DOI: 10.1504/IJMIC.2023.10055524
  • Boundary control for prescribed-time stabilization of delayed parabolic reaction-diffusion systems   Order a copy of this article
    by Qian Ye, Wei Wu 
    Abstract: This work addresses the boundary control problem for prescribed-time stabilization of a parabolic reaction-diffusion system (PRDS) with time delay via the backstepping-based approach and Razumikhin method. The invertible Volterra transformation is used to convert the PRDS into a suitable prescribed-time stable PRDS with time-dependent coefficient, which is related to time-dependent kernel function. The obtained kernel partial differential equations are proven to be well-posed using the successive approximation. The boundary controller is designed by solving the kernel equations to guarantee the prescribed-time stabilization of the delayed PRDS. Finally, two numerical examples are given to testify the feasibility of the proposed methodology.
    Keywords: reaction-diffusion system; distributed parameter system; boundary control; time delay; prescribed-time stabilization; backstepping approach; Razumikhin method.
    DOI: 10.1504/IJMIC.2023.10055802
  • Interval observer-based fault-tolerant control for discrete-time switched linear system   Order a copy of this article
    by Leila Dadi, Haifa Ethabet, Mohamed Aoun 
    Abstract: This work presents the problem of interval estimation and passive Faut Tolerant Control (FTC) for discrete-time Switched Linear Systems (SLS). The considered systems are affected by disturbances, measurement noises and actuator faults. The uncertainties are supposed to be unknown but bounded with a priori known bounds. Based on a state feedback, a FTC is designed to maintain desired performances and preserve stability conditions in presence of actuator faults. The control law is designed by means of interval observer structure, guaranteeing interval estimation, where the stability conditions are expressed in terms of Linear Matrix Inequalities (LMIs). Numerical simulations are provided to demonstrate the efficiency of the proposed method.
    Keywords: fault tolerant control; actuator fault; discrete-time switched systems; hybrid systems.
    DOI: 10.1504/IJMIC.2023.10055999
  • Distributed set-membership state estimation based on a zonotope method for linear parameter-varying systems   Order a copy of this article
    by Yanfei Zhu, Jiahao Yu, Chuanjiang Li, Ya Gu 
    Abstract: This paper considers the distributed set-membership state estimation (SMSE) issue for linear parameter-varying (LPV) systems with unknown but bounded (UBB) noise and disturbance. A distributed set-membership estimation method employing zonotopes has been presented to estimate the true states of the systems. The estimated errors are restricted to a family of zonotopes satisfying the dependent constraint condition. By using the F-radius of the zonotopes minimum theory, the appropriate estimators are designed and the corresponding parameters are computed. Furthermore, a recursive state estimation algorithm is introduced to address this research issue. The persuasiveness of the approach can be demonstrated through numerical simulation examples.
    Keywords: distributed set-membership estimation; unknown but bounded noise; zonotope-dependent constraint.
    DOI: 10.1504/IJMIC.2023.10056513
  • Coyote optimisation algorithm for separable nonlinear models using chaotic maps technique   Order a copy of this article
    by Xixi Ji, Jing Chen, Xia Yin 
    Abstract: In this paper, a new Chebyshev chaotic map-based chaotic coyote optimization algorithm (CCOA) is applied to identify a separable nonlinear model. The CCOA uses chaotic signals instead of random numbers in identification process to increase non-repetitiveness and ergodicity. Compared with the particle swarm optimisation (PSO) and coyote optimisation algorithm (COA), the CCOA algorithm can improve the estimation accuracy and increase the parameter estimation convergence rate. Thus, the proposed algorithm can be widely used in engineering practices. To validate the developed algorithm, a series of comparative experiments are conducted. The effectiveness of the proposed algorithm is verified by the simulation results.
    Keywords: chaotic coyote optimisation algorithm; chaotic signal; separable nonlinear model; parameter estimation.
    DOI: 10.1504/IJMIC.2023.10057075
  • Capacity optimisation of rural distributed energy system based on two-stage robust optimisation algorithm   Order a copy of this article
    by Juan Wang, Sirui Wang, Fengzhong Zhang, Xueyang Sun 
    Abstract: In order to improve the energy utilisation of rural waste, a rural distributed energy system including wind energy, photovoltaic energy, biogas energy and energy storage is proposed in this paper. The capacity of the rural distributed energy system is optimised based on the two-stage robust optimisation model. The annualised life cycle cost, the differentiated time-of-use electricity price, as well as the discrete wind turbine capacity allocation has been considered in the two-stage robust optimisation model. The results show that this distributed energy system, including wind energy, photovoltaic energy, biogas energy and energy storage, is suitable for rural energy distributed systems, it has excellent multi-energy complementary characteristics, which leads to a high utilisation rate of renewable energy. The capacity configuration without scheduling capacity can be calculated directly by the two-stage robust optimisation model. The uncertainty on the source and load side can be fully considered in the two-stage robust optimisation model, and it has excellent economy and security in the
    Keywords: distributed energy; biogas power generation; two-stage robust optimisation; uncertainty.
    DOI: 10.1504/IJMIC.2023.10057523
  • Multi-discriminant feature fall detection algorithm based on joints   Order a copy of this article
    by Jimin Lai, Tonghui He 
    Abstract: Traditional fall detection algorithm is difficult to accurately extract and recognise human posture features, and easy to lose feature joints in the process of falling, resulting in low detection accuracy. Therefore, this paper proposes a multi-discriminant feature fall detection algorithm based on joints for nursing homes, medical rehabilitation centres and other places. Firstly, the initial features of human posture are obtained by the improved VGG-19 feature extraction model, and the initial position of the joints are obtained and coded by adding a residual module. Secondly, the decoder network is used to complete deconvolution and upsampling operations to achieve greater fine-grained resolution. Finally, the image pose refinement module is designed to analyse the relationship between different adjacent feature nodes, so as to realise the accurate identification of the node position when the fall occurs. On this basis, the corresponding fall discriminant characteristics are proposed to achieve the detection of the elderly fall action. The results show that the proposed algorithm is more accurate and effective than other traditional algorithms on some datasets.
    Keywords: fall detection; convolutional neural network; residual module.
    DOI: 10.1504/IJMIC.2023.10058394
  • A new nonlinear PID controller design for a quadrotor system using teaching learning based optimisation algorithm   Order a copy of this article
    by Naima Bouhabza, Kara Kamel 
    Abstract: In this paper, a novel nonlinear proportional integral derivative controller based on the meta-heuristic optimisation technique is suggested. Owing to its straightforward implementation and structure, the proportional integral derivative controller is frequently employed in nonlinear system control. The teaching-learning-based optimisation algorithm, owing to its effectiveness, rapidity, and minimum initialisation parameter required, has gained the attention of a significant number of researchers. The quadrotor's actuation dynamics are controlled by nonlinear proportional integral derivative controllers. Moreover, under-actuated dynamics use the same controller mechanism. For each controller, six parameters are tuned using the integral time absolute error criteria. Through numerical simulation, the efficiency and control performance of the suggested scheme are proven and contrasted with those of the linear proportional integral derivative controller and the sliding mode control. The simulation research demonstrates the effectiveness and successful performance of the recommended control technique in terms of the transient response characteristics, tracking precision, and perturbation rejection.
    Keywords: quadrotor; teaching learning based optimisation; TLBO; optimisation; nonlinear PID control.
    DOI: 10.1504/IJMIC.2023.10058548
  • A network control system for solving a speed coordination problem in a networked multi-motor drive   Order a copy of this article
    by Huang Jiexian, Suhaib Masroor, Zain Anwar Ali 
    Abstract: A control system connected to a sensor and actuator via communication network plays a pivotal role in a today's world. The problem of obtaining a consensus in a group of network-connected agents is one of the major areas of research in the network control systems. In industry, the multi-motor system is very demanding owing to a common load driven capacity, and cost saving. Coordinated speed plays a vital role to control the in-flight movement of multi-rotor UAV/drones, producing hovering, tilting or other necessary flight control movements. Thus, this study uses a leaderless multi-agent consensus model to achieve coordinated control of network-connected motor drives such that all the drives reach identical speeds. Moreover, this study also incorporates event-based control, so that the continuous time controller update can be avoided, thus offering energy saving. To ensure stable system design, the Lyapunov stability criterion is used, while the obtained design is simulated in MATLAB. The simulated results endorse the design concept, such that the system attains a consensus on motor speed along with energy saving.
    Keywords: network control system; NCS; leaderless multi-agent system; event-based consensus; networked multi-motor system.
    DOI: 10.1504/IJMIC.2023.10060804
  • Design of MIMO fractional order fault tolerant control based on intelligent QFT controller of robotic manipulator   Order a copy of this article
    by Najah Yousfi, Asma Aribi, Awadh Aljuaid 
    Abstract: High level of technological development in our life makes systems increasingly complicated. In consequence, a possibly unexpected failures happen caused by sensor and actuator faults. Control systems that ensure safety, reliability and maintainability are being challenging tasks in order to remedy the problems caused by unexpected faults. The quantitative feedback theory (QFT) is an efficient control method used for MIMO systems with parametric uncertainties. On the other side, the well-known robust fractional PID controller and fractional prefilter are demonstrated their efficiency to ensure robust control and to guarantee performance specifications. The novelty in this work consists on associating the benefits of fractional control and the QFT approach to develop a fractional tolerant controller for MIMO systems. A new Fractional Fault Tolerant Controller (FFTC) with some special characteristics allowing to overcome the design complexity and control effort increase due to simultaneous presence of disturbance with jumping faults is developed. Additionally, high tracking performance is taken into consideration.
    Keywords: Evolutionary algorithms; Fault tolerant control; Fractional control; Multi criteria optimization; Quantitative feedback theory; Robotic systems.
    DOI: 10.1504/IJMIC.2023.10061572