Article
Automation & Control Systems
Lakshmi Dutta, Dushmanta Kumar Das
Summary: In this article, a nonlinear disturbance observer-based multiple-model adaptive explicit model predictive control (NDO-MMAEMPC) scheme is proposed for a nonlinear MIMO system with parametric uncertainty and external disturbance. The proposed method effectively manages external disturbances without compromising control signal smoothness. Adaptive identification schemes based on blending are used to handle unknown system uncertainty. Offline computation of explicit nonlinear model predictive controllers is performed in advance for each identification model, reducing the computational burden during operation. The control inputs generated by the set of explicit controllers are blended online using adaptive weight. An extended Kalman filter algorithm is employed for estimating the unavailable states of the nonlinear system. The effectiveness of the proposed control algorithm is demonstrated through an aerodynamic laboratory setup.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Information Systems
Yaguang Li, Yuanchun Jiang, Jianshan Sun, Chunhua Sun, Yezheng Liu, Hai Wang
Summary: This paper presents an adaptive fuzzy output tracking control scheme for a class of strict-feedback systems with an unknown control gain. An ideal controller that achieves finite-time stabilization of the filtered tracking error system is approximated by an ideal fuzzy logic system. The actual fuzzy function is used as the controller to estimate the ideal fuzzy system through online adjustment of system parameters. A tau-observer is designed to handle the unknown fuzzy control error. Unlike previous studies, new parameter adaptive laws are constructed without requiring derivative calculations in the filtered tracking error system. Thus, an adaptive direct fuzzy controller based on a tau-observer is proposed. The practical finite-time stabilization of the output tracking error and the boundedness of all states in the closed-loop system are ensured. Finally, the effectiveness of the control criterion is verified through two simulation examples.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Lin-Xing Xu, Yu-Long Wang, Xiaofan Wang, Chen Peng
Summary: This article considers the problem of decentralized event-triggered fault-tolerant control for interconnected nonlinear systems with unknown strong coupling and actuator failures. A new decentralized adaptive control scheme is proposed to enable each subsystem output to track the desired trajectory. The effectiveness of the proposed scheme is demonstrated by a practical interconnected system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Chen Chen, Lei Pan, Li Sun, Jiong Shen, Junli Zhang, Kwang Y. Lee
Summary: This paper proposes an extended state observer-based stable predictive tracking control method for micro gas turbine combined heating and power systems. The method can overcome various challenges in the system and its effectiveness is verified through simulation experiments.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Xinfeng Shao, Dan Ye
Summary: This paper investigates the problems of decentralized adaptive neural network secure control for a class of nonstrict-feedback nonlinear interconnected large-scale systems under denial-of-service attacks. A novel dynamic gain observer is constructed to solve the difficulty of sampling in the presence of DoS attacks. The stability is proven based on Lyapunov stability theory and the improved average dwell time method.
Article
Automation & Control Systems
Lakshmi Dutta, Dushmanta Kumar Das
Summary: This paper presents a disturbance observer-based adaptive nonlinear model predictive control scheme for dealing with external disturbance and parameter uncertainties in a class of nonlinear MIMO systems. The effectiveness of the proposed control algorithm has been verified using a twin-rotor MIMO system, showing better performance than existing control algorithms in the presence of unknown disturbances and parameter uncertainties.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Computer Science, Information Systems
Ye Liu, Yaqian Zhang, Lulu Liu, Hongqin Li, Haishan Liu
Summary: The paper addresses the output feedback problem for nonlinear systems with unknown dead-zone by introducing high-gain K-filters and dynamic surface control method. The adaptive output feedback controller design is capable of mitigating the undesired influence of the dead-zone and ensuring semi-global stability of the system. Additionally, the L-infinity performance of tracking error is achieved through the initialization technique, with numerical and practical examples confirming the effectiveness of the proposed solution.
Article
Automation & Control Systems
Liqiang Tang, Yongliang Yang, Xianzhong Chen, Qing Li
Summary: This paper proposes a robust adaptive dynamic surface control (DSC) design approach for switching strict feedback nonlinear systems with multiple switching control gains and unknown control directions. Multiple Nussbaum-type gains are designed to capture the multiple unknown control directions. A common Lyapunov function is constructed for all subsystems using the backstepping technique. The dynamic surface control technique is introduced to decrease computation complexity.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Zixin Huang, Xiao Wan, Liheng Wang, Lejun Wang, Hao Fu
Summary: In this paper, an optimal model reference adaptive control algorithm is proposed for unknown discrete-time nonlinear systems with input constraint, considering robustness to uncertainty. By using an input constraint auxiliary system, the original problem is transformed into an optimal regulation problem of an auxiliary error system with lumped uncertainty. The algorithm introduces an action-critic variable to achieve chattering-free sliding model control for the auxiliary error system, ensuring robustness to disturbance and neural network approximation error. The Lyapunov method is used to prove the uniformly ultimate bounded property, and the effectiveness of the algorithm is demonstrated through a simulation example.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Aerospace
Lakshmi Dutta, Dushmanta Kumar Das
Summary: This article proposes a nonlinear disturbance observer (NDO)-based adaptive explicit nonlinear model predictive control scheme to compensate for external disturbance and parametric uncertainty in a class of nonlinear multi-input-multi-output (MIMO) systems. The analytical solution of the proposed adaptive control scheme is developed by approximating tracking errors and control efforts with the Taylor series expansion method. A NDO is used to observe the unknown external disturbance, and an adaptive parameter estimator with projection-based parameter adaptation laws is used to keep the parameters within the compact parameter space. The effectiveness of the proposed control algorithm is verified using a twin-rotor MIMO system, and simulation and real-time results show its superior performance compared to existing control algorithms in the presence of unknown external disturbances and parameter uncertainties.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Automation & Control Systems
Xincheng Zhuang, Haoping Wang, Sofiane Ahmed-Ali, Yang Tian
Summary: This article proposes a joint adaptive high-gain observer design method for a class of nonlinear systems subject to sampled output data measurements. The proposed method overcomes the difficulty caused by the coupling between the nonlinear term and unknown parameters. By introducing a closed-loop output predictor and a decoupling method, the proposed observer achieves exponential convergence of the estimation for both the unknown state and parameter.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Abdeljalil Benabdelhadi, Fouad Giri, Miroslav Krstic, Fatima-Zahra Chaoui, Kamal Rachid, Hassan El Fadil
Summary: This article revisits the problem of adaptive observer design for systems consisting of an ODE and a PDE with parametric uncertainties. The authors propose a design that involves two concatenated adaptive observers to cover different intervals of the PDE domain. The proposed design utilizes an extra sensor to measure the PDE state close to the ODE-PDE junction point, achieving exponential convergence for both observers.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Information Systems
Xianglei Jia, Shengyuan Xu, Xiaocheng Shi, Baozhu Du, Zhengqiang Zhang
Summary: This paper proposes a non identifier-based adaptive output feedback controller for highly nonlinear time-delay systems, achieving global output tracking. The control parameters can be easily obtained through simple calculation, and the stability of the system is demonstrated using Lyapunov-Krasovskii functionals and Barbalat's lemma.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Information Systems
Baoxu Jia, Liguo Sun, Yanyang Wang, Xiaoyu Liu, Weigao Dang
Summary: The paper introduces a switched adaptive SMDO method to observe system uncertainties and accommodate faults effectively, which is essential for flight control of aircraft. The SMDO consists of two adaptive modes, one for slow-changing uncertainties and one for fast observing and accommodating sudden faults, with a switching logic to ensure optimal performance.
Article
Automation & Control Systems
Guang Sun, Jialei Chen, Yingqiong Yong, Yongyuan Li
Summary: This article introduces a dynamic nonlinear generalized predictive control method based on the exponential function for spacecraft attitude tracking, aiming to improve control performance and speed up attitude convergence by adjusting the predictive period. Through the proposed method, the spacecraft attitude can converge to the desired attitude within a bounded small neighborhood, demonstrating enhanced control efficiency.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2022)
Article
Engineering, Electrical & Electronic
Feten Smida, Taoufik Ladhari, Salim Hadj Said, Faouzi M'sahli
IETE JOURNAL OF RESEARCH
(2020)
Article
Automation & Control Systems
Habib Dimassi, Salim Hadj Said, Antonio Loria, Faouzi M'Sahli
Summary: This paper investigates the problem of adaptive observer design for a class of nonlinear systems with unknown parameters. An adaptive observer is proposed based on high-gain observer and auxiliary outputs to reconstruct states and unknown parameters. Stability analysis is established using Lyapunov theory and validated with numerical simulations. The observer is modified based on sliding mode theory to improve robustness against disturbances.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Review
Automation & Control Systems
Nadia Miladi, Habib Dimassi, Salim Hadj Said, Faouzi M'Sahli
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2020)
Article
Engineering, Electrical & Electronic
Moez Besbes, Salim Hadj Said, Faouzi M'Sahli
Summary: This paper proposes a continuous-discrete time high gain observer for sensorless control of an induction machine. The observer achieves an estimation of the machine's state variables using only two undersampled and noisy stator current measurements. The observer is implemented in hardware and validated using advanced Matlab tools.
IETE JOURNAL OF RESEARCH
(2022)
Article
Automation & Control Systems
Ines Jmel, Habib Dimassi, Salim Hadj-Said, Faouzi M'Sahli
Article
Engineering, Multidisciplinary
Ines Jmel, Habib Dimassi, Salim Hadj Said, Faouzi M'Sahli
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Mondher Amor, Taoufik Ladhari, Salim Hadj Said, Faouzi M'Sahli
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Afef Boudagga, Habib Dimassi, Salim Hadj-Said, Faouzi M'Sahli
MATHEMATICAL PROBLEMS IN ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Ines Jmel, Habib Dimassi, Salim Hadj-Said, Faouzi M'Sahli
Summary: This paper investigates an output feedback sliding mode control scheme for a two-wheeled self-balancing robot under terrain inclination and disturbances. The proposed approach includes an adaptive high-gain observer and a sliding mode controller to achieve tracking control of the robot despite unknown terrain inclination and presence of friction disturbances. The stability of the system is established through Lyapunov analysis inspired from sliding modes theory.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Multidisciplinary
Mondher Amor, Taoufik Ladhari, Salim Hadj Said, Faouzi M'Sahli
Summary: This research focuses on the application of fault-tolerant control for an interconnected system of three tanks in case of sensor faults. The control scheme involves fault detection and isolation, as well as control law reconfiguration. By using a bank of high gain observers and comparing measured and estimated outputs, faulty sensors can be isolated, and controller parameters can be updated according to the operating mode. The application of this method to a pilot plant shows that the hydrographic system maintains good performance even after sensor faults occur.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Mondher Amor, Taoufik Ladhari, Salim Hadj Said, Faouzi M'Sahli
Summary: This paper investigates the design and hardware implementation of the control level for the three-tank system, considering modeling error and unavoidable disturbances. By designing a new controller, the closed-loop is able to meet two reference levels, and a high-gain observer is utilized to estimate the missing state.
IETE JOURNAL OF RESEARCH
(2022)
Article
Automation & Control Systems
Houssemeddine Gouta, Waseem Haysam Al-Ashek, Basem Saad
Summary: Coupled multiple-tank systems are crucial for various industrial applications due to their unique uses, but the liquid level control for the coupled two-tank multi-input multi-output (MIMO) system is challenging. This paper proposes a novel anti-disturbance control strategy, utilizing a nonlinear composite hierarchical anti-disturbance predictive control (CHADPC) approach. The proposed method includes a model-based explicit nonlinear model predictive controller (ENMPC) and a nonlinear disturbance observer (DO) to estimate the disturbances, achieving effective control of liquid level.
Article
Multidisciplinary Sciences
Imen Ben Hamida, Saoussen Brini Salah, Faouzi Msahli, Mohamed Faouzi Mimouni
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2019)
Proceedings Paper
Automation & Control Systems
Ines Jmel, Habib Dimassi, Salim Hadj-Said, Faouzi Msahli
2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA)
(2019)
Proceedings Paper
Automation & Control Systems
Ines Jmel, Habib Dimassi, Salim Hadj-Said, Faouzi Msahli
2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA)
(2019)