Article
Multidisciplinary Sciences
Duc Ngoc Nguyen, Tuan Anh Nguyen, Ngoc Duyen Dang
Summary: This paper uses spatial dynamics model and nonlinear double-track dynamics model to simulate vehicle oscillations, and fuzzy control algorithm is used to control the active stabilizer bar. The simulation results show that the use of active stabilizer bar controlled by fuzzy algorithm can significantly reduce the roll angle of the vehicle body and the change in vertical force at the wheel, thus improving the rollover phenomenon of the vehicle.
Article
Engineering, Multidisciplinary
Masood Ahmad, Rosmiwati Mohd-Mokhtar
Summary: This article addresses the problem of fault estimation for discrete-time linear systems subject to mixed uncertainties and unknown input disturbances. A robust proportional integral observer is proposed based on H-infinity norm minimization, which effectively deals with uncertainties and disturbances. The performance of the proposed observer is demonstrated through application examples of a DC motor system and a three-tank system.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Electrical & Electronic
Ping Wang, Xiyue Zhang, Jianpeng Shi, Bin Gou, Lin Zhang, Hong Chen, Yunfeng Hu
Summary: This paper proposes an MPC-based control strategy to prevent vehicle rollover during high-speed driving. By considering tire force saturation and real-time rollover index, the control region is divided into different stability regions. State constraints are set based on driver behavior and road conditions to improve overall vehicle performance.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Automation & Control Systems
Mourad Kchaou, Houssem Jerbi
Summary: The study investigates fault-tolerant control based on Takagi-Sugeno (T-S) fuzzy for non-linear descriptor systems, utilizing sliding mode control to develop an observer-based strategy with a novel sliding function. It establishes sufficient conditions through fuzzy Lyapunov function and linear matrix inequality for robust admissibility of the system, and synthesizes an adaptive observer-based SMC law to ensure reachability of the sliding surface and compensate for uncertainties. The efficiency of the proposed reliable SMC controller is demonstrated through practical implementations in systems like pendulum and truck-trailer.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Agricultural Engineering
Zhansheng Song, Longlong Wang, Yunmeng Liu, Kangda Wang, Zhizhu He, Zhongxiang Zhu, Jiahao Qin, Zhen Li
Summary: This study aims to enhance the lateral stability of tractors by implementing an active steering system that can convert roll and pitch motion to restore the tractor attitude in potential rollover situations. A sliding mode control algorithm and a lateral stability indicator are used to reduce the risk of tractor rollovers, showing that the proposed control strategy is effective and robust.
BIOSYSTEMS ENGINEERING
(2022)
Article
Computer Science, Information Systems
Tuan Anh Nguyen
Summary: This article discusses the issue of vehicle roll instability when steering at high speeds. It recommends installing an active stabilizer bar in the car to prevent rolling over and improve stability. A complex dynamic model is used to evaluate and analyze vehicle oscillations, and a fuzzy algorithm with three independent inputs is used to control the operation of the active stabilizer bar. Numerical simulation in a Simulink environment shows that the new algorithm significantly reduces the risk of rollover and improves the car's stability and safety.
Article
Automation & Control Systems
Mehdi Rahmani, Zahra Shams
Summary: This paper presents a novel method to design a robust L-1 observer and its circuit implementation for fault diagnosis and state estimation in nonlinear systems. The proposed observer can estimate states and faults of the system, process/actuator, and sensor simultaneously, with high resistance to disturbances. The stability conditions based on Lyapunov theory and LMI optimization problems are provided for designing the observer. The detailed circuit implementation of the Van der Pol system and the proposed observer scheme is also presented. Simulation results validate the effectiveness of the proposed L-1 observer and fault diagnosis approach.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Shuo Cheng, Liang Li, Xiang Chen, Jian Wu, Hong-da Wang
Summary: The article proposes a vehicle automated steering controller based on model predictive control (MPC) approach, which improves control performance, ensures control accuracy, and strong robustness.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Computer Science, Artificial Intelligence
Tuan Anh Nguyen
Summary: This article investigates the instability of automobiles during high-speed steering. The model of spatial dynamics is used to simulate vehicle oscillation, and the model of nonlinear double-track dynamics is combined to determine the effects of the wheel during steering. The hydraulic stabilizer bar is suggested to limit the instability, and the FLC algorithm with two inputs is used to control the system's operation. The simulation results show that the combination of the active stabilizer bar and the FLC algorithm significantly improves the vehicle's stability, reducing the roll angle and the difference in vertical force at the wheels.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Kehua Yuan, Wentao Li, Weihua Xu, Tao Zhan, Libo Zhang, Shuai Liu
Summary: The study conducted a numerical evaluation of the performance of type-1 and type-2 fuzzy models in terms of accuracy and computing overhead, revealing trade-offs between the two. The experiments on 15 publicly available datasets showed that type-2 fuzzy models outperformed type-1 models in accuracy and development time.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
(2021)
Article
Automation & Control Systems
Elkhatib Kamal, Reza Ghorbani
Summary: This work proposes a new nonlinear robust fuzzy decentralized constrained controller based on robust fuzzy anti-windup to improve the robustness and tracking ability of nonlinear dynamic systems subject to parameter uncertainties and disturbances. The controller considers saturations on control and states, and compensates for the nonlinear interaction between subsystems. The main contributions are the stabilization of the nonlinear system under varying conditions, improved robustness with constraints, and enhanced stability performance.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2023)
Article
Automation & Control Systems
Anh-Tu Nguyen, Truong Quang Dinh, Thierry-Marie Guerra, Juntao Pan
Summary: This article introduces a new nonlinear observer design technique to simultaneously estimate important factors in vehicle handling, utilizing a TS fuzzy representation to effectively model vehicle dynamics and handle unmeasured nonlinearities. By using a generalized Luenberger observer structure, decoupling of unknown inputs is achieved without requiring prior information.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Automation & Control Systems
Pei-Pei Chao, Rui-Yuan Zhang, Yi-Die Wang, Hong Tang, Hong-Liang Dai
Summary: An improved time-to-rollover method based on a multilayer neural network is presented in this paper. By shortening the prediction time interval and improving prediction accuracy, the probability of electric vehicle rollover accidents can be effectively reduced.
MEASUREMENT & CONTROL
(2022)
Article
Chemistry, Multidisciplinary
Carlos Andres Torres-Pinzon, Leonel Paredes-Madrid, Freddy Flores-Bahamonde, Harrynson Ramirez-Murillo
Summary: This paper presents a fuzzy control synthesis based on a T-S fuzzy model for non-minimum phase dc-dc converters, such as boost and buck-boost, solving the control design based on LMIs using MATLAB toolbox LMI for simulation and experimental verification of theoretical predictions.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Xinwei Yang, Chaozhong Wu, Yi He, Xiao-Yun Lu, Tao Chen
Summary: This study proposes an improved dynamic rollover index (RI) that can detect real-time rollover events in heavy-duty vehicles. By designing an unknown input observer (UIO) to estimate the vehicle's roll angle and using a parameter estimation algorithm to observe unmeasurable and time-varying parameters, the proposed method shows accurate estimation of key parameters and strict rollover detection. Furthermore, a dynamic predictive rollover threshold is determined by investigating the thresholds of roll angle and lateral acceleration, ensuring sufficient response time for controller delay.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Automation & Control Systems
Saliha Marir, Mohammed Chadli, Michael V. Basin
Summary: This paper studies the stabilization problem for linear continuous-time singular fractional-order systems and obtains new formulations of the admissibility for the closed-loop system by dynamic output feedback controller using LMI conditions, to generalize existing results for integer-order systems. The presented approach is validated by numerical examples demonstrating its applicability and efficacy.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Energy & Fuels
Sofiane Bououden, Fouad Allouani, Abdelaziz Abboudi, Mohammed Chadli, Ilyes Boulkaibet, Zaher Al Barakeh, Bilel Neji, Raymond Ghandour
Summary: This paper presents a novel observer-based robust fault predictive control (OBRFPC) approach for wind turbines with time-delay system subject to constraints, faults, and disturbances. The approach includes an augmented state-space representation, a robust predictive controller synthesis, and an observer for state and fault estimation. The proposed method utilizes disturbance estimates and formulates the control process as an optimization problem subject to linear matrix inequalities (LMIs) to ensure disturbance rejection and fault tolerance. A simulation example on a nonlinear wind turbine model demonstrates the effectiveness of the proposed method in dealing with nonlinear systems subject to disturbances and faults.
Article
Automation & Control Systems
Kamil Hassan, Fatima Tahir, Muhammad Rehan, Choon Ki Ahn, Mohammed Chadli
Summary: This article addresses the group consensus problem in a network of multiagent systems by proposing a relative-output-based distributed control law. By utilizing Lyapunov stability theory and a linear matrix inequality, the sufficient and necessary conditions for achieving group consensus are formulated and validated.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
B. Visakamoorthi, Samson Shenglong Yu, K. Subramanian, P. Muthukumar, Mohammed Chadli, Hieu Trinh
Summary: This study proposes a practical consensus control method for heterogeneous multiagent systems with gain fluctuations using sampled-data-based approach. A more general retarded sampled-data control approach is designed to achieve practical consensus by considering gain fluctuations, actual sampling pattern, and constant time delay. The stability condition of the closed-loop system is derived using a Wirtinger's inequality-based discontinuous Lyapunov-Krasovskii functional and linear matrix inequality. Numerical simulation validates the theoretical results obtained.
EUROPEAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Wenhai Qi, Guangdeng Zong, Yakun Hou, Mohammed Chadli
Summary: This article focuses on the discrete-time sliding mode control (DSMC) for nonlinear semi-Markovian switching systems (S-MSSs). Due to the difficulty in obtaining complete information of the semi-Markov Kernel in practical applications, it is commonly considered to be partly unknown. By utilizing the prior information of the sojourn-time upper bound for each switching mode, this article proposes sufficient conditions under the equivalent DSMC law for mean square stability. Moreover, the designed DSMC law achieves finite-time reachability of the sliding region and finite-time convergence of the sliding dynamics to the predesignated sliding region. A numerical example and an electronic throttle model are provided to validate the proposed control strategy.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Zi-Peng Wang, Xu Zhang, Huai-Ning Wu, Mohammed Chadli, Tingwen Huang, Junfei Qiao
Summary: This article introduces a dynamic fuzzy boundary output feedback control for nonlinear space-varying parabolic partial differential equation systems with random time-varying delay under noncollocated boundary measurement. The nonlinear delayed PPDESs are represented by Takagi-Sugeno (T-S) fuzzy models and a fuzzy observer under NCBM is presented to overcome the design difficulty of boundary control. An observer-based fuzzy boundary controller is proposed and conditions for mean-square exponential stability are obtained by utilizing the Lyapunov direct method and Wirtinger inequality. Feasibility conditions for the DFBOF controller design are expressed in LMIs to solve the SLMIs. Two examples are provided to demonstrate the validity of the proposed approach.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yang Wu, Xixiang Yang, Huaicheng Yan, Mohammed Chadli, Yueying Wang
Summary: This article presents a design of an event-triggered finite-time singularity-free terminal sliding-mode control algorithm for tracking Euler-Lagrange systems. The proposed algorithm can handle state/error constraints, unstructured dynamics, and external disturbances. It introduces a novel sliding-mode manifold that ensures finite-time convergence of tracking errors and strict constraint requirements. A fuzzy logic system is used to compensate for uncertainties, and an event-triggered mechanism is integrated to reduce signal transmission frequency.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Yajing Yu, Jian Guo, Mohammed Chadli, Zhengrong Xiang
Summary: This article investigates a distributed fuzzy adaptive formation control strategy for quadrotor multiple unmanned aerial vehicles (UAVs) under unmodeled dynamics and switching topologies. The strategy includes generating attitude commands, solving the position controller, constructing a communication mechanism, and designing a fuzzy adaptive sliding mode controller. The simulation results confirm the effectiveness of the proposed control strategy.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Panming Zhu, Guangdeng Chen, Guohuai Lin, Mohammed Chadli
Summary: This study investigates the leader-following consensus issue for multiagent systems under external disturbances and denial-of-service (DoS) attacks. A novel triggering mechanism is designed to save communication resources during normal communication periods and detect the end of attack periods. Estimators are constructed to predict the states of the agent and its neighbors during attacks. A distributed switching controller is designed that includes event-triggered and predicted states. The proposed secure control protocol ensures eventual consensus and avoids Zeno behavior. A simulation example demonstrates the effectiveness of the strategy.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Omar Hazil, Fouad Allouani, Sofiane Bououden, Mohammed Chadli, Mohamed Chemachema, Ilyes Boulkaibet, Bilel Neji
Summary: In this paper, a new robust model predictive control (RMPC) algorithm is designed to regulate the terminal voltage of a photovoltaic generator (PVG) supplying power to a DC motor-pump via a buck DC-DC converter. The control task is complex due to the nonlinear behavior of the system and its dependency on climate conditions. Based on the dead-zone property, a new RMPC technique is introduced to ensure the robust stability of the closed-loop system in the presence of actuator nonlinearity.
Article
Computer Science, Artificial Intelligence
Yan Zhang, Mohammed Chadli, Zhengrong Xiang
Summary: In this article, the adaptive fuzzy predefined-time tracking control problem for a class of nonlinear systems with output hysteresis is investigated. An inverse model is utilized to capture the output hysteresis phenomenon, and the Nussbaum-type function technique is utilized to overcome the difficulty of unknown time-varying control gain caused by output hysteresis. An adaptive fuzzy control scheme under the backstepping framework is developed using the predefined-time stability criterion. The feasibility of the developed scheme is verified by an example of an electromechanical system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Jing Wang, Jiacheng Wu, Jinde Cao, Mohammed Chadli, Hao Shen
Summary: In this article, a novel nonfragile output feedback tracking control algorithm based on integral reinforcement learning is proposed for uncertain Markov jump nonlinear systems. The problem of nonfragile control is converted into solving zero-sum games, and an offline parallel learning algorithm and an online parallel integral RL-based algorithm are designed to solve fuzzy stochastic coupled algebraic Riccati equations. Using the Lyapunov stability theory and stochastic analysis method, the tracking object is achieved and system stability and performance are ensured.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Hao Shen, Yu-An Liu, Jing Wang, Huaicheng Yan, Mohammed Chadli
Summary: This work proposes an Hop sliding-mode control for nonlinear singularly perturbed system under the framework of network control. The system's nonlinearities with parameter uncertainties are described using the interval type-2 (IT2) fuzzy method for system modeling. A disturbance observer is developed to estimate and neutralize the unknown disturbance. An event-triggered communication protocol with a dynamic threshold parameter is adopted to reduce network resource occupation. A fuzzy integral sliding motion is constructed based on the system model and disturbance estimation. The proposed approach is demonstrated with IT2 fuzzy extensions of two classical examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Khelil Sidi Brahim, Ahmed El Hajjaji, Nadjiba Terki, David Lara Alabazares
Summary: This paper proposes an adaptive sliding mode control (ASMC) for quadrotor trajectory tracking problem considering unknown disturbances and actuator constraints. The control strategy ensures quadrotor hovering despite parametric uncertainties and external disturbances. Stability analysis based on Lyapunov theory shows that the proposed control method guarantees boundedness of signals and finite-time convergence of tracking errors. Experimental validation using parrot mambo mini-UAV demonstrates the effectiveness of the proposed method.
Proceedings Paper
Automation & Control Systems
Khelil Sidi Brahim, Nadjiba Terki, Ahmed El Hajjaji, David Lara
Summary: This paper addresses the adaptive robust tracking control problem of a quadrotor under parametric uncertainties, actuator saturation, and external wind disturbances. It proposes an adaptive robust control strategy to handle this tracking problem, and analyzes the global stability of the resulting closed loop system using the sliding mode approach and the lyapunov theory.
2022 30TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED)
(2022)
