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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
Kecai Cao, Chunjiang Qian, Juping Gu
Summary: This paper proposes novel compensating strategies in output feedback controller design for a class of nonlinear uncertain system. The compensation schemes eliminate the need for a sufficiently small sampling period or approximating step previously imposed, and allow for easy implementation of the proposed controllers using output measurements sampled at the current step and delayed output measurements sampled at the previous step without constructing state observers. The results have been illustrated through numerical studies.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Jiankun Sun, Jun Yang, Shihua Li, Zhigang Zeng
Summary: In this article, a solution to the problem of global sampled-data output feedback stabilization for a class of nonlinear uncertain systems with delayed output is proposed using the continuous-discrete method. The proposed method combines a predictor-based continuous-discrete observer and a linear controller to effectively estimate the unknown state and compensate for the influences of sampling and output delay. The advantage of this method is that it does not require full state information and accurate model nonlinearities. The global exponential stability of the control system can be ensured under certain conditions regarding the maximum allowable sampling period and output delay.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Shi Li, Choon Ki Ahn, Jian Guo, Zhengrong Xiang
Summary: In this paper, the global output feedback stabilization problem for switched nonlinear systems in the p-normal form is addressed using a reduced-order state observer and an output feedback sampled-data controller. The proposed controller relaxes some restrictions of switched nonlinear systems and ensures convergence of all states to the origin. Simulation results demonstrate the effectiveness of the proposed scheme.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Igor Furtat, Pavel Gushchin
Summary: This paper describes a novel method for sampled-data control of nonlinear scalar semilinear parabolic and hyperbolic systems with unknown parameters, distributed disturbances, and finite number of measurements along the spatial variable. The proposed method uses piecewise nonlinear functions chosen by the designer to provide certain properties in the closed-loop system.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Lin Lin, Jie Zhong, Shiyong Zhu, Jianquan Lu
Summary: In this study, a general partial synchronization method for a specific type of Boolean control networks is proposed for the first time, and it is achieved through sampled-data feedback control. Unlike previous synchronization methods, this approach requires the total number of synchronized nodes to exactly maintain a fixed value within a finite number of steps, and it eliminates the need for predetermined synchronized nodes.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Conggui Huang, Fei Wang, Zhaowen Zheng
Summary: This paper investigates topics regarding fractional order nonlinear systems with sampled-data control. Stability conditions for the control systems are derived, sampled-data controllers are designed for fractional order neural networks, and synchronization criteria for fractional order dynamical networks with sampled-data communications are obtained. Numerical examples are provided to illustrate the effectiveness of the results.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Automation & Control Systems
Shi Li, Yifei Wu, Zhengrong Xiang
Summary: This article proposes a new sampled-data stabilization scheme for switched nonlinear systems, addressing the instability issue that may arise in all subsystems. A state-dependent switching condition is derived and a controller is designed based on sampled information. The developed state-dependent switching strategy guarantees the asymptotic stability of the closed-loop system. The effectiveness of the proposed scheme is verified through its application to a switched induction heater circuit system and a numerical example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Xiaoyu Xu, Hui Wang, Wuquan Li, Meiqiao Wang
Summary: This paper studies the distributed output-feedback tracking control problem for nonlinear multi-agent systems with unmeasurable states. By integrating backstepping method and high-gain homogeneous domination method into sampled-data control, a novel linear sampled-data high-gain homogeneous domination control strategy is developed. The effectiveness of the sampled-data strategy is verified through a numerical example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2022)
Article
Automation & Control Systems
Mario Di Ferdinando, Stefano Di Gennaro, Pierdomenico Pepe
Summary: This paper proposes a new methodology for the design of sampled-data dynamic output feedback (DOF) stabilizers for control-affine nonlinear time-delay systems. The methodology is based on the Artstein's theory of control Lyapunov functions and the extended Sontag's formula for DOF controllers. The paper shows that a proposed sampled-data DOF controller based on the new version of Sontag's universal formula ensures the semiglobal practical stability of the related sampled-data closed-loop system, considering time-varying sampling intervals and intersampling system behavior.
Article
Engineering, Electrical & Electronic
Zhaoming Sheng, Qian Ma, Shengyuan Xu
Summary: This paper proposes a sampled-data practical tracking control scheme for nonlinear time-delay systems. By utilizing a novel technique lemma and the output feedback domination approach, the trajectory growth can be effectively estimated and the desired tracking accuracy can be achieved.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Automation & Control Systems
Xuetao Yang, Quanxin Zhu
Summary: This article examines the mean square exponential stabilization of stochastic retarded systems described by SFDEs, proposing a novel sampled-data feedback control approach that effectively handles delays in the system. Two examples with simulation figures are provided to demonstrate the main result.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yongming Li, Kunting Yu
Summary: This article proposes a sampled-data adaptive fuzzy decentralized output feedback control method for uncertain nonstrict feedback large-scale interconnected systems. The method uses fuzzy logical systems to identify unknown nonlinear functions and designs a novel sampled-data nonlinear state observer to approximate the immeasurable state variables. A sampled-data adaptive fuzzy decentralized output feedback backstepping control strategy is proposed based on Lyapunov theory to guarantee bounded closed-loop signals. Simulation examples are provided to validate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Shi Li, Choon Ki Ahn, Jian Guo, Zhengrong Xiang
Summary: This article investigates the sampled-data stabilization problem of a class of switched nonlinear systems using radial basis function neural networks to relax restrictions on unknown nonlinear functions. Novel mode-dependent adaptive laws and sampled-data control laws are constructed to avoid Zeno behavior, and a new allowable sampling period is deduced to guarantee bounded states of the closed-loop system (CLS). The proposed method's effectiveness is demonstrated through two examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Computer Science, Information Systems
Zaiyong Feng, Shi Li, Choon Ki Ahn, Zhengrong Xiang
Summary: This article investigates the problem of finite-time stabilization for a class of interconnected switched nonlinear systems (ISNS) using sampled-data output feedback control. The finite-time stabilization is proved based on the homogeneous theory and related inequalities for the discussed ISNS. The effectiveness of the presented control method is verified through a numerical example and a practical example.
IEEE SYSTEMS JOURNAL
(2022)
Article
Automation & Control Systems
Wenjie Cao, Fuke Wu, Minyu Wu
Summary: This paper focuses on the stability of stochastic hybrid systems with random delay driven by a singularly perturbed Markov chain. The limit system is obtained using weak convergence and the martingale method. By utilizing the limit system as a bridge, the moment exponential stability of the original system is established using Razumikhin-type techniques. An example is provided to illustrate the obtained result.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Vincenzo Basco
Summary: This paper discusses distributed optimization techniques in multi-agent systems with time-varying communication networks and proposes a novel approach that leverages group actions and probabilistic selection of initial states to solve real-world optimization problems in decentralized environments.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Jennifer Przybilla, Igor Pontes Duff, Peter Benner
Summary: This paper considers the problem of finding surrogate models for large-scale second-order linear time-invariant systems with inhomogeneous initial conditions. Two methodologies are proposed: reducing each component independently and extracting dominant subspaces from Gramians. The error bounds for the overall output approximation are also discussed.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Shubham Singh, Anoop Jain
Summary: This paper proposes a distributed control design methodology to stabilize a desired formation shape in a multi-agent system while incorporating collision avoidance and connectivity preservation simultaneously. Time-varying constraints are applied to handle collision avoidance and connectivity preservation, and the concept of asymmetric time-varying barrier Lyapunov function is exploited to derive the stabilizing distributed control law.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Han Zhang, Axel Ringh
Summary: Inverse Optimal Control (IOC) is a powerful framework for learning behavior from expert observations. In this study, we focused on identifying the cost and feedback law from observed trajectories. We proved that identifying the cost is generally an ill-posed problem, but we constructed an estimator for the cost function and showed that it provides a statistically consistent estimate for the true underlying control gain. The constructed estimator is based on convex optimization and exhibits statistical consistency in practice.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Ky Quan Tran, Pham Huu Anh Ngoc
Summary: This paper investigates the exponential contraction in mean square of general functional differential equations with Markovian switching. Explicit criteria for such contraction are derived through a novel approach. An illustrative example is provided.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Jiangyan Pu, Qi Zhang
Summary: This paper examines the continuous time intertemporal consumption and portfolio choice problems of an investor in a generalized stochastic differential utility preference of Epstein-Zin type with subjective beliefs and ambiguity. The paper provides closed-form optimal consumption and portfolio solutions with subjective beliefs and numerical solutions with ambiguity for the Heston model in an incomplete market.
SYSTEMS & CONTROL LETTERS
(2024)