Article
Acoustics
Xinhua Zhao, Shangze Chen, Litao Jing, Xue Wang
Summary: According to the Logvinovich cavity dependent expansion principle, the cavity developed by the cavitator has a memory effect, which causes cavity deformation at the aft part of a supercavitating vehicle and leads to a time delay in its travel state. This delay affects the dynamic behavior by altering hydrodynamics and moments on the control surface, potentially inducing instability. This paper focuses on the time delay effect of underwater supercavitating vehicles and establishes a simplified dynamic model with delay. A state feedback controller is designed using linear matrix inequality (LMI) and Lyapunov stability theory to ensure the asymptotic stability of the system. Simulation results demonstrate the effectiveness of the controlled system in both the simplified and non-simplified models, as it is able to track reference command signals.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Automation & Control Systems
Qi Liu, Zongfeng Qi, Jianxun Li, Shuping Ma, Chunyu Yang
Summary: This article discusses the passivity analysis and passification problems for a class of nonlinear singular time-varying delay systems, using an adaptive sliding mode control strategy. By employing a state augmentation technique and constructing an integral-type sliding surface, the article designs new sufficient conditions to ensure stability and reachability of the system. Additionally, a delay-dependent sufficient condition is proposed for passification, and a novel adaptive SMC law is synthesized to guarantee finite-time reachability. The proposed scheme's effectiveness, superiority, and less conservativeness are illustrated through four examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Xing Xu, Zhenyu Liu, Feng Wang, Ju Xie, Pengwei Su
Summary: This paper proposes an LMI-based trajectory tracking control method to improve the stability and tracking accuracy of a dual-motor autonomous steering system. The method involves modeling time-varying network time lag and vehicle lateral dynamics, designing a feedback controller with feedforward control, and demonstrating its effectiveness and robustness through simulation and HiL tests.
CONTROL ENGINEERING PRACTICE
(2021)
Article
Automation & Control Systems
Sheng Hao, Yuh Yamashita, Koichi Kobayashi
Summary: This article introduces a novel control design for a quarter car nonlinear active suspension system, utilizing energy shaping methods to enhance vibration suppression by modifying sprung and unsprung masses. The proposed controller focuses on transforming the nonlinear suspension system into a linear system with ideal aseismatic properties.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Mathematics, Interdisciplinary Applications
Wei Lv, Hanfei He, Kezan Li
Summary: This paper investigates the robust optimal control of a network-based SIVS epidemic system with an uncertain time delay. The study proposes a robust optimal control problem that involves time-dependent and degree-dependent vaccination controls. Numerical simulations show that the optimal control schemes can effectively shorten the disease duration and emphasize the importance of timely control efforts at the beginning of disease outbreak.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Automation & Control Systems
Meng Li, Yong Chen
Summary: This paper investigates the stability issue of networked systems with dynamical topology in intelligent vehicles, designing output feedback controllers to ensure the stochastic stability of closed-loop networked systems.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2021)
Article
Automation & Control Systems
Jindong Shen, Yuanwei Jing, Tao Ren, Yun Bai
Summary: This paper investigates the problem of observer-based finite-time congestion control for TCP/AQM network systems with time-varying delay and nonresponsive flows such as UDP. The finite-time control using observers is applied for the first time to solve congestion control in TCP/AQM networks with time delay and external disturbances, ensuring finite-time boundedness of the closed-loop system. Control gain and observer gain are obtained using LMI technique, and simulation results demonstrate the effectiveness and superiority of the proposed method.
ASIAN JOURNAL OF CONTROL
(2022)
Article
Computer Science, Information Systems
Antonio Gonzalez
Summary: This paper investigates the control design of interconnected time delay systems using distributed predictor-feedback delay compensation approaches and event-triggered mechanism. By introducing new weighting factors for each local prediction term, the proposed distributed predictor-feedback control provides extra degree of freedom for control synthesis and addresses the design of weighting factors and event-triggered parameters through an algorithm based on LMI and CCL. Simulation results demonstrate the improvements achieved and validate the effectiveness of the proposed method.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Jothiappan Palraj, Kalidass Mathiyalagan, Peng Shi
Summary: This work presents a sliding mode control (SMC) method for linear systems with uncertainties and time-varying delays, achieving stable control of system states through the construction of an integral switching surface and development of a suitable SMC law. By utilizing Lyapunov stability theory and linear matrix inequalities, stability conditions for the system are established and validated on a Chua's circuit model.
IMA JOURNAL OF MATHEMATICAL CONTROL AND INFORMATION
(2021)
Article
Engineering, Chemical
Honglin Zhu, Weiping Ding, Mingliang Yang, Tianshi Jin, Jean-Pierre Corriou
Summary: In this study, a state feedback robust control strategy with time delay dependence is designed for the uncertainty, fault, and input time delay of a vehicle's controllable suspension system. The study divides the total damping force of the suspension into foundation damping force and controllable damping force, and defines the associated uncertainty and fault. Based on Lyapunov stability theory, a robust control law is designed and solved using optimization methods. Simulation results demonstrate the feasibility and effectiveness of the proposed method.
Article
Mathematics, Applied
Thongchai Botmart, Sorphorn Noun, Kanit Mukdasai, Wajaree Weera, Narongsak Yotha
Summary: This study investigates robust passivity analysis of neural networks with interval nondifferentiable and distributed time-varying delays, utilizing a Lyapunov-Krasovskii function containing multiple integrals and refined Jensen's inequality in LMIs. The proposed method is less conservative than existing results in literature and can be numerically verified using MATLAB's LMI toolbox. Three numerical examples demonstrate the effectiveness and advantages of the approach.
Article
Automation & Control Systems
Lokukankanamge Dushyantha Hashan Peiris, Andrew R. Plummer, Jonathan L. Bois
Summary: Real-time hybrid testing involves coupling experimental components with numerically simulated substructures. Lag compensation schemes and passivity control techniques are commonly used to ensure stability, but may be sensitive to changes in the system being tested. The proposed normalized passivity controller offers improved performance across a wide range of operating conditions without the need for system identification or assumptions.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Renming Yang, Liying Sun
Summary: This paper investigates the prescribed-time robust control problem of a class of nonlinear time-delay systems, and proposes some new prescribed-time robust stabilization results. The paper applies the full decomposition method to obtain an equivalent model of the original system and extends the existing prescribed-time stability criterion to the delay system. Based on these, the paper designs the corresponding prescribed-time stabilization and robust stabilization controllers when the disturbance bound is known. Furthermore, a new prescribed-time controller is designed to achieve robust stabilization for unknown disturbances. Two illustrative examples demonstrate the effectiveness of the proposed approach in prescribed-time robust stabilization of nonlinear delay systems.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Interdisciplinary Applications
V. Tharanidharan, R. Sakthivel, Yong Ren, S. Marshal Anthoni
Summary: This paper investigates the decentralized PID output-feedback control problem for discrete-time uncertain large-scale systems with delayed interconnections, achieving robust finite time stabilization through feedback control. New sufficient conditions are derived based on linear matrix inequality to ensure the finite-time boundedness of the uncertain large-scale systems. The CCL algorithm is developed to obtain control gain parameters, and a numerical example is provided to demonstrate the effectiveness of the proposed control design.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2022)
Article
Automation & Control Systems
Honggui Han, Jiacheng Zhang, Ying Hou, Junfei Qiao
Summary: To achieve excellent operational performance in wastewater treatment, a kernel-density-estimation-based robust optimal control (KDE-ROC) method is proposed. This method addresses uncertainties in operational optimal objectives and utilizes a data-driven prediction strategy to construct these objectives. An adaptive neural network controller is developed to track the optimal set-points of process variables, resulting in improved control performance. The effectiveness of KDE-ROC is demonstrated through comparisons with other optimal control strategies.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Chemistry, Analytical
Sofia Benouakta, Florin Doru Hutu, Yvan Duroc
Summary: This paper presents the design of an ultra high-frequency (UHF) RFID sensor tag integrated into a textile yarn using E-Thread(R) technology. The temperature detection is based on the change in impedance matching between the tag's antenna and chip, caused by the variation in resistance of a thermistor integrated within the tag system. A differential approach is proposed for environment independent detection, eliminating the need for pre-calibration using a reference tag. Experimental characterization demonstrates the potential of this RFID sensor in detecting temperature variations or thresholds between 25 and 70 degrees Celsius through differential activation power variations.
Article
Computer Science, Information Systems
Yanni Zhou, Florin Doru Hutu, Guillaume Villemaud
Summary: This paper analyzes the transmission of the spatial modulation (SM) system under different line-of-sight/non-line-of-sight (LOS/NLOS) propagation scenarios. The experimental results are compared with the simulation results, showing that the SM system can maintain its performance in multipath propagation.
Article
Computer Science, Information Systems
Tarik Lassouaoui, Florin Doru Hutu, Yvan Duroc, Guillaume Villemaud
Summary: This paper presents a study on the performance evaluation of T2T systems in the context of UHF passive RFID technology. The results show that the modulation depth is a crucial evaluation metric for T2T systems, and it is strongly affected by three main parameters: switching impedances, the geometrical configuration of tag antennas, and the position of the external source. The study provides insights into the interactions of these parameters and guidelines for defining system specifications based on quantified results.
Article
Computer Science, Information Systems
C. Achille Fumtchum, Florin Doru Hutu, Pierre Tsafack, Guillaume Villemaud, Emmanuel Tanyi
Summary: This paper proposes a contribution to the development of autonomous wake-up radios from an energy supply perspective. A rectifier circuit is designed and manufactured to provide the energy needed for a quasi passive wake-up radio receiver, and an energy harvesting circuit is implemented to power up the receiver. The use of butterfly stubs in the energy harvester design allows for a more compact circuit compared to traditional designs, while a high efficiency substrate in the rectifier increases performance and reduces form factor.
Article
Chemistry, Analytical
Erik Etien, Thierry Doget, Laurent Rambault, Sebastien Cauet, Anas Sakout, Sandrine Moreau
Summary: In this article, a method is proposed to determine the dynamic model of a squirrel-cage induction motor using a reduced amount of information. An adaptive observer is built from this model to estimate the motor's speed and monitor rotor faults using Tacholess Order Tracking (TOT). A generalization of the concept of angular sampling is also proposed to adapt to rotor bar defects. The procedure is validated in the laboratory on a dedicated test bench for the study of rotor bar defects.
Review
Engineering, Mechanical
Mohammad F. Yakhni, Sebastien Cauet, Anas Sakout, Hassan Assoum, Erik Etien, Laurent Rambault, Mohamed El-Gohary
Summary: Induction motors are essential components in the industrial sector and their development is crucial. This paper focuses on condition monitoring techniques for induction motors, particularly the Transient Motor Current Signatures Analysis method. The effectiveness of this method in diagnosing faults of electrical rotating machines is discussed, along with important applications and signal processing methods. Additionally, two promising techniques for non-stationary signal frequency estimation are introduced. The paper also addresses challenges and future goals in this field, providing guidance for researchers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Chemistry, Analytical
Abderrahim Boushaba, Sebastien Cauet, Afzal Chamroo, Erik Etien, Laurent Rambault
Summary: This article discusses two methods for detecting broken bars in induction motors, which are tested using data from the LIAS laboratory at the University of Poitiers. The first method is Motor Current Signature Analysis (MCSA) with Convolutional Neural Networks (CNN), while the second method is Principal Components Analysis (PCA). Both methods show good results, but there are important differences that need to be highlighted.
Article
Computer Science, Information Systems
Radu Gabriel Bozomitu, Florin Doru Hutu
Summary: This paper presents a new drivers' warning application that uses personalized DSSS-CDMA transmissions through FM radio broadcasting infrastructure. The application simultaneously transmits up to 15 low-resolution image notifications along with standard FM radio broadcasting in different geographical areas to warn drivers of significant driving events. The proposed solution is low-cost and easy to implement due to relatively simple modifications on the transmission infrastructure and receiver's side. The performance of the system is validated through experimental setup using USRP devices driven by MATLAB/Simulink software.
Proceedings Paper
Automation & Control Systems
Sebastien Cauet, Erik Etien, Laurent Rambault, Thierry Doget
Summary: This paper proposes to improve an OSG-based technique for extracting mechanical faults from a PMSM with variable mechanical speed. The technique can be used online without a mechanical speed sensor. The stability analysis of the adaptive OSG method is presented, and a comparison is made with other methods.
Article
Engineering, Electrical & Electronic
Mohammad F. Yakhni, Houssem Hosni, Sebastien Cauet, Anas Sakout, Erik Etien, Laurent Rambault, Hassan Assoum, Mohamed El-Gohary
Summary: The concept of a digital twin is increasingly being applied in industrial settings, particularly in predictive maintenance. This research focuses on using motor current signature analysis to monitor the condition of ventilation systems through a digital twin approach. By using the Concordia method and Fast Fourier Transform analysis, the researchers process the current signal and compare physical and numerical system measurements. The study also incorporates statistical methods to create a comprehensive diagnostic protocol.
Proceedings Paper
Engineering, Electrical & Electronic
Sofia Benouakta, Florin Hutu, Yvan Duroc
Summary: This paper presents a UHF RFID temperature sensor integrated into a textile yarn, and experimental results demonstrate its potential for detecting temperature variations.
2021 IEEE INTERNATIONAL CONFERENCE ON RFID TECHNOLOGY AND APPLICATIONS (RFID-TA)
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Tarik Lassouaoui, Florin Hutu, Guillaume Villemaud, Yvan Duroc
Summary: This study evaluates the performance of tag to tag communications using UHF passive RFID tags through simulations and measurements. The research shows that by selecting the proper angle of incidence of the RF source with respect to the tag's plane, the modulation depth can be kept higher for different separations between the tags, improving the communication quality.
2021 IEEE INTERNATIONAL CONFERENCE ON RFID TECHNOLOGY AND APPLICATIONS (RFID-TA)
(2021)
Article
Computer Science, Information Systems
Radu Gabriel Bozomitu, Florin Doru Hutu, Nicolas De Pinho Ferreira
Summary: This paper presents a new application for transmitting image notifications using the FM radio broadcasting infrastructure and analyzes different technical solutions suitable for different scenarios. Through simulations and experimental testing, the functionality and characteristics of the proposed application were demonstrated.
Article
Automation & Control Systems
Syed A. Ajwad, Emmanuel Moulay, Michael Defoort, Tomas Menard, Patrick Coirault
Summary: This letter discusses the leader-following consensus problem of second-order Multi-Agent Systems with switching topology and partial aperiodic sampled data. An observer-based control protocol is proposed, and sufficient conditions for leader-following consensus are derived using the Average Dwell Time approach. Numerical examples are provided to demonstrate the effectiveness of the proposed scheme.
IEEE CONTROL SYSTEMS LETTERS
(2021)
Article
Automation & Control Systems
Syed A. Ajwad, Emmanuel Moulay, Michael Defoort, Tomas Menard, Patrick Coirault
Summary: This letter addresses the problem of collision-free formation tracking of second-order Multi-Agent Systems (MAS) under communication constraints. An output feedback formation controller is designed using continuous-discrete time observers to ensure that the formation tracks the leader trajectory under directed communication topology, while avoiding collision between agents. Simulation results demonstrate the efficacy of the proposed algorithm.
IEEE CONTROL SYSTEMS LETTERS
(2021)
