Article
Chemistry, Multidisciplinary
Abdelaziz Abboudi, Sofiane Bououden, Mohammed Chadli, Ilyes Boulkaibet, Bilel Neji
Summary: In this paper, an observer-based robust fault-tolerant predictive control strategy is proposed for LPV systems subject to input constraints and sensor failures. The main objective is to establish a real observer based on a virtual observer to estimate both states and sensor failures of the system. The proposed approach demonstrates the establishment of a robust fault-tolerant predictive control using both observers via Lyapunov function. Sufficient stability conditions are derived using the Lyapunov approach for the convergence of the proposed robust controller.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Manbok Park, Yonghwan Jeong, Seongjin Yim
Summary: This paper presents a method to design a modal controller with simple 1-DOF models for an active suspension system, overcoming the difficulties of implementing full-state feedback controllers with a 7-DOF full-car model. The proposed modal controllers, designed from three 1-DOF models, are shown to be effective in controlling the active suspension system for ride comfort.
Article
Mathematics
Alejandro Bustos, Jesus Meneses, Higinio Rubio, Enrique Soriano-Heras
Summary: This paper presents an algorithm for the suspension system of land vehicles, which can adjust the system in real-time based on the terrain to improve stability and comfort during travel.
Article
Automation & Control Systems
Chaofang Hu, Xiaohe Yang, Xiaofang Wei, Yongtai Hu
Summary: This article proposes a robust model predictive control strategy based on SOS-RMPC for hypersonic vehicles with uncertain parameters and state-dependent input constraints. The control method transforms real control limits into virtual input constraints and utilizes SOS technique to convert polynomial constraints into convex matrix SOS conditions, thereby designing a controller that improves control performance.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Jose C. Geromel
Summary: This article focuses on the design of model predictive control (MPC) in sampled-data control systems with full-state measurements. The results show that recent research in this area can be successfully applied to cope with sampled-data MPC. By minimizing a guaranteed H-2 performance index with infinity horizon, the feedback control preserves asymptotic stability and feasibility. The design conditions are expressed through differential linear matrix inequalities and no discrete-time modeling approximation is used for continuous-time systems. Comparisons with classical methods from previous literature are presented and discussed.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Computer Science, Information Systems
Sixia Zhao, Guangchao Qu, Mengnan Liu, Xiaoliang Chen, Zhi Gao, Liyou Xu
Summary: This paper proposes a tractor active seat suspension control method based on model predictive control (MPC). Through experiments and simulations, the appropriate system parameters are selected and the effectiveness of the method in improving ride comfort and vibration reduction characteristics is demonstrated.
Article
Mathematics
Yan Yan, Longge Zhang
Summary: This paper presents a strategy for robust model predictive control of constrained, discrete-time systems with state and output disturbances using the linear matrix inequality method. The biggest advantage of this method is the nearly zero online computation, making it applicable to systems with slowly varying and fast changing parameters. A simulation example demonstrates the effectiveness of the proposed technique.
Article
Automation & Control Systems
Leopoldo Jetto, Valentina Orsini, Raffaele Romagnoli
Summary: This article introduces a new approach based on a two degrees of freedom control scheme to simplify the complexity of stability and feasibility analysis of MPC and reduce the complexity of relative optimization procedures. The method computes the input through online minimization of a quadratic cost functional and applies it to the closed-loop system. By assuming the input forcing the system to be given by a B-spline function, the constrained optimization problem is greatly simplified.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Artificial Intelligence
Myron Papadimitrakis, Alex Alexandridis
Summary: This paper presents a model predictive controller (MPC) with road preview incorporating radial basis function (RBF) models for a full car active suspension system. The proposed scheme efficiently approximates the nonlinear behavior of the suspension system and shows performance potential over linear MPC methods in a road preview context.
APPLIED SOFT COMPUTING
(2022)
Article
Chemistry, Multidisciplinary
Junjiang Zhang, Yang Yang, Minghui Hu, Chunyun Fu, Jun Zhai
Summary: The study established a half-vehicle model considering the influence of braking intensity and proposed a control method based on MPC strategy, proving the stability of the system through stability theory. Compared to the DLC strategy, the MPC strategy significantly improved the vehicle's ride comfort.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Bo Peng, Huiyuan Shi, Chengli Su, Ping Li, Zhiwu Li
Summary: This study proposes a robust fuzzy predictive method for switching control in multi-phase batch processes (MPBP) to ensure stable operations in both synchronous and asynchronous cases. Multiple stable sub-models are established for the synchronous case, while unstable sub-models are established for the asynchronous case. The nonlinearity of MPBP is dealt with by locally linearizing each sub-model and establishing a mixed Takagi-Sugeno (T-S) model. By designing a global output control law based on a mapping relationship between the controller and local subsystem, each phase and batch can be stabilized using Lyapunov stability theory, linear matrix inequality (LMI) theory, and mode-dependent average dwell time method.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Ankit Gupta, Manas Mejari, Paolo Falcone, Dario Piga
Summary: This paper proposes an iterative algorithm to compute the Robust Control Invariant (RCI) set and the corresponding control law for Linear Parameter-Varying (LPV) systems. The algorithm considers the dependence of RCI set description and control law on scheduling parameters. By replacing parameter-dependent conditions for set invariance with Linear Matrix Inequalities (LMIs) using Polya's relaxation, a Semidefinite Programming (SDP) problem is formulated to maximize the volume of the RCI set. The presented algorithm outperforms commonly used robust approaches in handling large parameter variations.
Article
Computer Science, Information Systems
Hesham Ahmed, Azizan As'arry, Abdul Aziz Hairuddin, Mohd Khair Hassan, Yunyun Liu, Erasmus Cufe Ujunwa Onwudinjo
Summary: This paper focuses on using intelligent methods to improve the suspension system of vehicles for a comfortable driving experience. The semi-active suspension system, which utilizes an intelligent actuator and real-time controllers, outperforms other systems in dissipating unwanted vibrations. The authors propose a Fuzzy-DE-PID controller based on a modified DE algorithm to enhance the performance of the semi-active suspension system. Simulation and experimental tests demonstrate the effectiveness of the proposed controller in improving the vehicle's ride comfort.
Article
Automation & Control Systems
Zhenxing Zhang, Jiuxiang Dong
Summary: This article introduces an optimization control algorithm based on the Takagi-Sugeno (T-S) fuzzy model, aiming to improve the driving comfort level of fuzzy suspension systems. By designing a non-PDC fuzzy controller and an online optimization strategy, the values of the controller's membership functions can be updated in real-time to achieve better driving comfort.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Chemistry, Multidisciplinary
Aurimas Cerskus, Vygantas Usinskis, Nikolaj Sesok, Igor Iljin, Vytautas Bucinskas
Summary: The key request for a vehicle suspension system is to control vibration and reduce inertia forces. This is crucial for ensuring ride comfort and driving safety. By implementing semi-active damping control, the damping process in the vehicle suspension can be adjusted to minimize acceleration experienced by the driver and passengers. A mathematical full-car model in Simulink/MATLAB was used for theoretical analysis, with simulations of various road profiles as the load. The damping coefficient of the semi-active suspension system was optimized for maximum driver comfort. The results from the full-car simulation process provide a graph of output accelerations, showing kinematic excitation from road deformities at different vehicle load positions.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Xiang-Peng Xie, Qian Wang, Mohammed Chadli, Kaibo Shi
Summary: In this paper, a relaxed observer-based state estimation method for discrete-time Takagi-Sugeno fuzzy systems is proposed via a new augmented matrix approach. The method introduces additional matrices without redundant constraints under the framework of homogeneous polynomials, resulting in less conservative results compared to recent methods. Numerical simulations validate the superiority and generality of the developed method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(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
Computer Science, Artificial Intelligence
Yueyang Li, Ming Yuan, Mohammed Chadli, Zi-Peng Wang, Dong Zhao
Summary: This article proposes a novel unknown input functional observer design approach for discrete-time interval type-2 Takagi-Sugeno fuzzy system models. By constructing a new state vector and solving a linear matrix equation, the existence conditions of observers are obtained. The solution of the simplified matrix equation is used to derive observer gains.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
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)
