Article
Automation & Control Systems
Wenjie Li, Zhengqiang Zhang, Shuzhi Sam Ge
Summary: In this article, the output-feedback control problem for a class of nonlinear time-delay systems is studied. Novel Lyapunov-Krasovkii functionals with control gains are proposed for designing a delay-independent controller. The effectiveness of the control scheme is illustrated through simulation results.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2022)
Article
Automation & Control Systems
Wenjie Li, Zhengqiang Zhang, Shuzhi Sam Ge
Summary: This article addresses the problem of output feedback control design for a class of strict-feedback nonlinear systems with unknown state time-varying delays. Two output feedback control schemes based on full-order and reduced-order observers are considered. Novel memoryless control strategies are developed using Lyapunov-Krasovskii functionals with static gain. The work ensures boundedness of all the signals in the closed-loop system and asymptotic stability of the system. Finally, two simulation examples illustrate the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
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
Engineering, Mechanical
Lihua Tan, Chuandong Li, Xing He, Tingwen Huang
Summary: This paper focuses on the output feedback control problem for a class of nonlinear multiagent systems with time delay, proposing dynamic gain state observer and distributed leader-following consensus protocols. The approach is validated through simulation examples, demonstrating its effectiveness in compensating for immeasurable state variables and achieving consensus among agents.
NONLINEAR DYNAMICS
(2021)
Article
Automation & Control Systems
Wanli Wang, Yan Lin, Qingrui Meng
Summary: This article considers adaptive output feedback tracking for a class of nonlinear systems with uncertain parameters, sensor uncertainties, and external disturbances. A state observer and an adaptive controller are constructed based on gain scaling technique to compensate for the effects of sensor uncertainties. The proposed scheme ensures that all states of the closed-loop system are bounded and the tracking error converges to an arbitrarily small residual set.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Qianghui Zhou, Xiang Xu, Lu Liu, Gang Feng
Summary: This article investigates the output feedback stabilization problem of linear time-varying (LTV) systems with infinite distributed input delays. A novel observer is designed to estimate the system states and then a low gain output feedback controller is developed based on the estimated states. The resulting closed-loop control system is shown to be globally exponentially stable under some mild assumptions. To the best of our knowledge, the output feedback stabilization problem of LTV systems with infinite distributed input delays has not yet been studied in open literature. Two numerical examples are provided to illustrate the effectiveness of the proposed controllers.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Hanqi Zhou, Junyong Zhai
Summary: This paper addresses the stabilization problem for a class of nonlinear time-varying delay systems with unknown growth rates and output function. It designs an adaptive observer with dynamic gain and an adaptive controller with Lyapunov-Krasovskii functional to achieve global stabilization of the closed-loop system. The effectiveness of the controller is verified through two examples.
Article
Computer Science, Artificial Intelligence
Libin Wang, Huanqing Wang, Peter Xiaoping Liu, Song Ling, Siwen Liu
Summary: This article presents a fuzzy finite-time command filtering output feedback control method for a class of nonlinear systems. The method solves the computational complexity problem and ensures the finite-time boundedness of signals and convergence of tracking error by introducing fuzzy logic system and fuzzy state observer.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Automation & Control Systems
Hanfeng Li, Chenghui Zhang, Shuai Liu, Xianfu Zhang
Summary: This article proposes a dynamic gain approach for investigating the leader-follower consensus problem of nonlinear multiagent systems. By introducing an observer and designing a distributed output-feedback control protocol, the consensus of the multiagent system is achieved without resorting to the backstepping technique. The effectiveness of the proposed approaches is illustrated by a simulation example.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Yafeng Li, Ju H. Park, Changchun Hua, Guopin Liu
Summary: This paper addresses the distributed adaptive containment control problem for uncertain nonlinear multiagent systems with time delays and unmodeled dynamics. By introducing a local reference generator and nonlinear function approximation method, a linear-like distributed adaptive output feedback controller is designed to simplify the controller design. Simulation results illustrate the effectiveness of the proposed method.
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
Automation & Control Systems
Tarek Ahmed-Ali, Francoise Lamnabhi-Lagarrigue, Hassan K. Khalil
Summary: In this paper, the high-gain observer-based nonlinear control is extended to systems with diffusion sensor dynamic, based on the work of Khalil and Praly (2014) and the references therein. The paper provides sufficient conditions for the high-gain parameter and the length of the PDE sensor, revealing a trade-off between them. The stability analysis of the closed-loop system is conducted using a Lyapunov functional.
Article
Automation & Control Systems
Wuquan Li, Miroslav Krstic
Summary: In this paper, we propose prescribed-time output-feedback-stabilizing designs for stochastic nonlinear strict-feedback systems. A new nonscaling output-feedback control scheme is proposed to solve the prescribed-time mean-square stabilization problem for stochastic nonlinear systems without sensor uncertainty. An interesting feature of our design is the dramatic reduction in the order of the scaling function in the controller, resulting in a simpler controller with reduced control effort. We also consider prescribed-time output-feedback control for stochastic nonlinear systems with sensor uncertainty, where a time-varying controller is designed to guarantee prescribed-time mean-square stabilization.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Guangtao Ran, Jian Liu, Chuanjiang Li, Hongtian Chen, Chunsong Han
Summary: This paper investigates finite-time event-triggered filtering problems for fuzzy nonlinear semi-Markov jump systems subject to deception attacks. An interval type-2 fuzzy S-MJSs is presented to capture parameter uncertainties. An adaptive event-triggered mechanism is designed to save network resources. Finite-time boundedness analysis and a filter design method are proposed.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Wenjie Li, Zhengqiang Zhang
Summary: This paper proposes a solution to the adaptive output feedback control design problem for a class of nonlinear systems with unknown state time delays, by combining dynamic gain and neural networks, and designing an adaptive neural network output feedback controller.
INTERNATIONAL JOURNAL OF CONTROL
(2022)
Article
Automation & Control Systems
Xiaoyu Luo, Chengcheng Zhao, Chongrong Fang, Jianping He
Summary: This paper investigates the problem of false data injection attacks in multi-agent dynamical systems and proposes FDI attack set selection algorithms to maximize the convergence error by finding the optimal subset of compromised agents.
Article
Automation & Control Systems
Nitin K. Singh, Abhisek K. Behera
Summary: In this paper, a twisting observer is proposed for robustly estimating the states of a second-order uncertain system. The observer approximates the unknown sign term for the non-measurable state with a delayed output-based switching function, and achieves the desired steady-state accuracy by controlling the delay parameter. The application of the observer to output feedback stabilization is also discussed.
Article
Automation & Control Systems
Alexander Aleksandrov
Summary: This paper investigates the absolute stability problem for positive Persidskii systems with delay, proposes a special construction method for diagonal Lyapunov-Krasovskii functionals, and derives a criterion for the existence of such functionals guaranteeing the absolute stability, as well as obtaining sufficient conditions for a family of time-delay Persidskii systems to construct a common diagonal Lyapunov-Krasovskii functional. The efficiency of the developed approaches is demonstrated through four examples.
Article
Automation & Control Systems
Noureddine Toumi, Roland Malhame, Jerome Le Ny
Summary: This paper addresses large multi-agent dynamic discrete choice problems using a linear quadratic mean field games framework. The model incorporates the features where agents have to reach a predefined set of possible destinations within a fixed time frame and running costs can become negative to simulate crowd avoidance. An upper bound on the time horizon is derived to prevent agents from escaping to infinity in finite time. The existence of a Nash equilibrium for infinite population and its epsilon-Nash property for a large but finite population are established. Simulations are conducted to explore the model behavior in various scenarios.
Article
Automation & Control Systems
Philippe Schuchert, Vaibhav Gupta, Alireza Karimi
Summary: This paper presents the design of fixed-structure controllers for the As2 and Asw synthesis problem using frequency response data. The minimization of the norm of the transfer function between the exogenous inputs and performance outputs is approximated through a convex optimization problem involving Linear Matrix Inequalities (LMIs). A general controller parametrization is used for continuous and discrete-time controllers with matrix transfer function or state-space representation. Numerical results show that the proposed data-driven method achieves performance equivalent to model-based approaches when a parametric model is available.
Correction
Automation & Control Systems
Zhijun Guo, Gang Chen
Article
Automation & Control Systems
Matteo Della Rossa, Thiago Alves Lima, Marc Jungers, Raphael M. Jungers
Summary: This paper presents new stabilizability conditions for switched linear systems with arbitrary and uncontrollable underlying switching signals. The study focuses on two specific settings: the robust case with completely unknown and unobservable active mode, and the mode-dependent case with controller depending on the current active switching mode. The technical developments are based on graph-theory tools and path-complete Lyapunov functions framework, enabling the design of robust and mode-dependent piecewise linear state-feedback controllers using directed and labeled graphs.
Article
Automation & Control Systems
Elena Petri, Romain Postoyan, Daniele Astolfi, Dragan Nesic, W. P. M. H. (Maurice) Heemels
Summary: This study investigates a scenario where a perturbed nonlinear system transmits its output measurements to a remote observer via a packet-based communication network. By designing both the observer and the local transmission policies, accurate state estimates can be obtained while only sporadically using the communication network.
Article
Automation & Control Systems
Jonas Krook, Robi Malik, Sahar Mohajerani, Martin Fabian
Summary: This paper proposes a method to synthesise controllers for cyber-physical systems subjected to disturbances, such that the controlled system satisfies specifications given as linear temporal logic formulas. The approach constructs a finite-state abstraction of the original system and synthesises a controller for the abstraction. It introduces the robust stutter bisimulation relation to account for disturbances and uncertainty, ensuring that related states have similar effects under the same controller. The paper demonstrates that the existence of a controller for the abstracted system implies the existence of a controller for the original system enforcing the linear temporal logic formula.
Article
Automation & Control Systems
Clement Chahbazian, Karim Dahia, Nicolas Merlinge, Benedicte Winter-Bonnet, Aurelien Blanc, Christian Musso
Summary: The paper derives a recursive formula of the Fisher information matrix on Lie groups and applies it to nonlinear Gaussian systems on Lie groups for testing. The proposed recursive CRLB is consistent with state-of-the-art filters and exhibits representative behavior in estimation errors. This paper provides a simple method to recursively compute the minimal variance of an estimator on matrix Lie groups, which is fundamental for implementing robust algorithms.
Article
Automation & Control Systems
Yiheng Fu, Pouria Ramazi
Summary: This study investigates the characteristics of decision fluctuations in heterogeneous populations and explores the uncertainties in imitation behavior. The findings are important for understanding the bounded rationality nature of imitation behaviors.
Article
Automation & Control Systems
Lars A. L. Janssen, Bart Besselink, Rob H. B. Fey, Nathan van de Wouw
Summary: This paper introduces a mathematical relationship between the accuracy of reduced-order linear-time invariant subsystem models and the stability and accuracy of the resulting reduced-order interconnected linear time-invariant model. This result can be used to directly translate the accuracy characteristics of the reduced-order subsystem models to the accuracy properties of the interconnected reduced-order model, or to translate accuracy requirements on the interconnected system model to accuracy requirements on subsystem models.
Article
Automation & Control Systems
Piyush Gupta, Vaibhav Srivastava
Summary: We study the optimal fidelity selection for a human operator servicing tasks in a queue, considering the trade-off between high-quality service and penalty due to increased queue length. By modeling the operator's cognitive dynamics and task fidelity, we determine the optimal policy and value function numerically, and analyze the structural properties of the optimal fidelity policy.
Article
Automation & Control Systems
Lukas Schwenkel, Alexander Hadorn, Matthias A. Mueller, Frank Allgoewer
Summary: In this work, the authors study economic model predictive control (MPC) in periodic operating conditions. They propose a method to achieve optimality by multiplying the stage cost by a linear discount factor, which is easy to implement and robust against online changes. Under certain assumptions, they prove that the resulting linearly discounted economic MPC achieves optimal asymptotic average performance and guarantees practical asymptotic stability of the optimal periodic orbit.
Article
Automation & Control Systems
Taher Ebrahim, Sankaranarayanan Subramanian, Sebastian Engell
Summary: We propose a robust nonlinear model predictive control algorithm for dynamic systems with mixed degrees of freedom. This algorithm optimizes both continuous and discrete manipulated variables, enhancing closed-loop performance. Our approach relies on a computationally efficient relaxation and integrality restoration strategy and provides sufficient conditions to establish recursive feasibility and guarantee robust closed-loop stability. The effectiveness of the approach is demonstrated through two nonlinear simulation examples.