Article
Computer Science, Artificial Intelligence
Jiankun Sun, Jun Yang, Zhigang Zeng, Huiming Wang
Summary: In this article, the problem of sampled-data robust output feedback control for a class of nonlinear uncertain systems with time-varying disturbance and measurement delay is investigated. A novel control method based on continuous-discrete observer and predictor is proposed, which can effectively attenuate the influences of nonlinear uncertainties and disturbance.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
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
Automation & Control Systems
Tomas Menard, Emmanuel Bernuau, Emmanuel Moulay, Patrick Coirault
Summary: In this article, a new observer design is proposed for systems with aperiodic and asynchronous sampling of the output, assuming the availability of a continuous-time homogeneous observer of negative degree. The proposed method adapts the existing continuous-time observer to handle sampled measurements instead of continuous ones. The obtained observer error is globally uniformly ultimately bounded for any upper bound on the sampling periods, and the ultimate bound decreases as the upper bound on the sampling periods decreases. The stability analysis is based on a Lyapunov approach and the performances of the proposed observer are illustrated with simulations.
Article
Automation & Control Systems
Thierry-Marie Guerra, Braulio Aguiar, Denis Berdjag, Bernard Demaya
Summary: This brief presents robust estimation for a sampled output system with continuous dynamics using unknown input observers (UIOs). A novel worst case estimation error bound is developed using a particular form of Gronwall inequality. The theoretical results are applied to robust velocity estimation of a braking train under wheel jamming faults, with simulations and experimental data analysis to evaluate the proposed approach.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2022)
Article
Automation & Control Systems
Guangming Zhuang, Jianwei Xia, Qian Ma, Wei Sun, Yanqian Wang
Summary: This paper investigates the problem of event-triggered H-infinity feedback control for time-varying delays singular jump systems using sampled observer and exponential detector. By designing control strategies to transmit state estimate signals, the validity and superiority of the proposed technique are demonstrated through simulation examples, including an oil catalytic cracking process. Stochastic admissibility, stabilization, and H-infinity performance conditions are obtained in terms of linear matrix inequalities.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Shuangxia Niu, Yixiao Luo, Weinong Fu, Xiaodong Zhang
Summary: This article presents a novel model predictive control method for a three-phase permanent-magnet synchronous motor (PMSM) to improve robustness against parameter variation and increase current control precision. The method utilizes extended voltage vectors and an inductance disturbance observer to address parameter sensitivity and enhance robustness. Experimental results demonstrate the effectiveness and reliability of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Chengcheng Song, Haoping Wang, Yang Tian, Gang Zheng
Summary: This paper investigates event-triggered observers for output-sampled nonlinear state affine systems, ensuring global exponential stability of the observer system under a designed event-triggered mechanism. Continuous state estimation is derived through aperiodic sampled system output, and effectiveness is demonstrated on a numerical example. Additionally, an LMI based ET observer is proposed for the special constant case of the system and compared to the system performance based ET observer in a mobile cart system example.
NONLINEAR ANALYSIS-HYBRID SYSTEMS
(2021)
Article
Automation & Control Systems
Fengxiang Wang, Long He, Jinsong Kang, Ralph Kennel, Jose Rodriguez
Summary: This article proposes an adaptive model predictive current control (AM-MPCC) method for enhancing the robustness of surface-mounted permanent magnet linear synchronous motor systems. An adaptive predictive model is introduced, along with a disturbance term and an optimized current change rate coefficient. A discrete-time sliding mode disturbance observer is devised to achieve the disturbance term. Experimental results confirm the excellent robustness performances of the proposed method.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
A. Benabdelhadi, M. Lailler, F. Giri, T. Ahmed-Ali, H. El Fadil, F. Z. Chaoui
Summary: This paper addresses the problem of observer design for linear plants observed with heat PDE sensors and proposes a novel observer design method. The proposed observer relies on sampled measurements at the sensor boundary and provides online estimates of both the plant state vector and the sensor distributed state. The exponential stability of the observation error system is analysed using various techniques. Simulation results highlight additional features of the observer, including its robustness and applicability to output feedback stabilisation.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Computer Science, Information Systems
Youssef Alidrissi, Radouane Ouladsine, Abdellatif Elmouatamid, Rachid Errouissi, Mohamed Bakhouya
Summary: This paper investigates the instability issues caused by constant power loads (CPLs) in a DC microgrid powered by a PV/battery system. A continuous-time model predictive control combined with a disturbance observer is applied to address the nonlinearity of CPLs and maintain system stability in a large operating region. Simulation results demonstrate good performance in terms of transient response, optimal tracking, and stability.
Article
Automation & Control Systems
Yun-Zhu Wang, Zhen Wang, Kai-Ning Wu, Chen-Xu Wang
Summary: This article discusses the exponential stabilization and H-infinity performance of delay reaction-diffusion systems with spatial and spatio-temporal sampled-data controllers. Criteria for stability and disturbance rejection are provided, and a novel Lyapunov functional and Halaney's inequality are used to overcome analysis difficulties. Results show that spatial sampling interval and time delay both affect system properties, with shorter intervals and smaller delays leading to easier achievement of desired stability properties.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Computer Science, Interdisciplinary Applications
Seyedhamidreza Khatibi, Guilherme Ozorio Cassol, Stevan Dubljevic
Summary: This paper discusses the model predictive output controller design for a non-isothermal axial dispersion tubular reactor considering energy and mass transport in a recycle stream. The system's discrete model is obtained using a Crank-Nicolson type of discretization method, and the proposed predictive controller ensures system stabilization and constraint satisfaction.
COMPUTERS & CHEMICAL ENGINEERING
(2021)
Article
Automation & Control Systems
Huiming Wang, Zhize Zhang, Xianlun Tang, Zhenhua Zhao, Yunda Yan
Summary: This brief investigates the tracking control based on output feedback for a category of flexible-joint robot (FJR) systems. The control strategy utilizes a flatness method to transfer mismatched disturbances to matched ones and constructs a generalized proportional integral observer (GPIO) to estimate the unavailable states and disturbances. A novel dynamic sliding surface is created by integrating the estimated disturbance and states provided by the GPIO. A continuous sliding mode control (CSMC)-based output feedback control framework is designed, which effectively reduces chattering. The control performance is validated through comparative tests on a two-link FJR.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Rihab El Houda Thabet, Sofiane Ahmed Ali, Vicenc Puig
Summary: In this paper, a high-gain interval observer (HGIO) is proposed to handle partially linear continuous-time systems with sampled measured outputs in the presence of bounded noise and additive disturbances. The gain of the HGIO is designed using the Linear Matrix Inequality (LMI) framework and a time-varying change of coordinates. A procedure for designing the HGIO gain to minimize the effect of noise and disturbances is provided. Simulation results validate the effectiveness of the proposed approach.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Manon Lailler, Fouad Giri, Tarek Ahmed-Ali
Summary: The sampled-data observer design for nonlinear time-varying systems considers distributed and discrete delays, as well as parameter uncertainty, in order to estimate system state and parameters accurately. A unified treatment of delays is achieved by modeling all delays using a single distributed representation. The resulting observer, resembling a Kalman filter, utilizes time-varying gain state estimator, distributed nature adaptive output predictor, and optimized parameter estimator to achieve exponential convergence under certain conditions.
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
(2021)
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.
Proceedings Paper
Engineering, Electrical & Electronic
Choueikh Safa, Essounbouli Najib, M'sahli Faouzi
2019 16TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD)
(2019)
Proceedings Paper
Automation & Control Systems
Habib Dimassi, Saim Hadj Said, Antonio Loria, Faouzi M'Sahli
2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA)
(2019)
Proceedings Paper
Automation & Control Systems
Mondher Amor, Taoufik Ladhari, Salim Hadj Said, Faouzi M'Sahli
2019 19TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL AND COMPUTER ENGINEERING (STA)
(2019)
