Article
Automation & Control Systems
Zhenbin Du, Yonggui Kao, Ju H. Park
Summary: This paper addresses the interval type-2 fuzzy tracking control problem for nonlinear networked control systems with unreliable communication links. A tracking controller is designed for interval type-2 fuzzy sampled-data system under unreliable communication, enhancing stability through membership function characteristics and utilizing Lyapunov theory. The paper provides less conservative sufficient condition for designing networked tracking controller to ensure anticipated tracking performance, demonstrated through simulation examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Yi Dong, Jie Chen
Summary: By using a distributed nonlinear observer and a nonlinear internal-model-based observer, this paper designs local controllers to achieve the tracking of the leader's attitude and angular velocity in a multi-agent system composed of rigid spacecraft systems with quaternion-based attitude representation and a dynamic leader system. The controllers also exhibit robustness to the uncertain mass property of the rigid spacecraft systems.
Article
Automation & Control Systems
Fan Huang, Yingnan Pan, Qing Lu
Summary: This paper investigates the observer-based security control problem for interval type-2 nonlinear networked control systems with deception attacks and replay attacks. A novel adaptive event-triggered communication (ETC) mechanism is proposed to alleviate the communication burden of the network. An observer-based security controller is developed under the co-designed method, considering the influence of the adaptive ETC mechanism and cyber attacks. Sufficient conditions for the asymptotically mean-square stability of the closed-loop system are obtained using the Lyapunov stability theory.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
Shidong Xu, Hao Wen, Xiaoyu Wang
Summary: This article studies the observer-based robust fuzzy control of nonlinear systems subject to actuator saturation via network communication. It introduces an adaptive event-triggered mechanism for processing the system outputs in an aperiodic sampling manner. A fuzzy observer is established using the Takagi-Sugeno (T-S) fuzzy description, and a saturated fuzzy control law is derived from the observer's estimated states. The adverse effect of persistent bounded disturbance is attenuated using the L infinity performance index. A novel Lyapunov functional is investigated to analyze system stability and synthesize the desired controller, considering the characteristics of the aperiodic event-triggered scheme and transmission delays. Additionally, a novel set of sufficient conditions for controller synthesis is derived by incorporating the knowledge of asynchronous membership functions. The proposed observer-based control algorithm is verified through an illustrative example and simulation results.
Article
Computer Science, Information Systems
Meng Yang, Junyong Zhai
Summary: This paper proposes an observer-based dynamic event-triggered secure control strategy for nonlinear networked control systems under false data injection attacks. A novel output feedback controller is developed using a sampled-data observer to mitigate the impacts of unmeasured states and false data injection attacks. A dynamic periodic event-triggered mechanism with an auxiliary variable is designed to reduce information transmission and an approximation of injected false data is implemented based on an adaptive neural network in the presence of false data injection attacks. Simulation results on a single link robot arm system demonstrate the effectiveness and validity of the proposed control strategy.
INFORMATION SCIENCES
(2023)
Article
Mathematics, Applied
Zongjie Chen, Yigang Zhang, Qingkai Kong, Ting Fang, Jing Wang
Summary: This paper focuses on observer-based controller design for a class of discrete-time networked nonlinear systems, utilizing persistent dwell-time switching and packet dropout compensation mechanisms to achieve system stability and superior performance.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Engineering, Multidisciplinary
Megan Morrison, J. Nathan Kutz
Summary: This study develops a mathematical framework for controlling nonlinear, networked dynamical systems, using dimensionality reduction, bifurcation theory, and model discovery tools to find low-dimensional subspaces for feed-forward control. By leveraging the fact that high-dimensional networked systems have many fixed points, control signals can be computed to move the system between any pair of fixed points. The approach involves fitting a nonlinear dynamical system to a low-rank subspace with the SINDy algorithm, then using bifurcation theory to identify constant control signals for achieving desired outcomes.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Mathematics, Applied
Yu-An Liu, Shengdao Tang, Yufan Liu, Qingkai Kong, Jing Wang
Summary: This work focuses on the sliding mode control problem of continuous-time nonlinear networked control systems. A state observer model and a discrete event-triggered mechanism are proposed to reduce network bandwidth occupation. The Lyapunov stability and sliding mode control theory are utilized to provide sufficient conditions for system stability and sliding surface reachability.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Yiwen Qi, Simeng Zhang, Choon Ki Ahn
Summary: This study investigates the active disturbance rejection control (ADRC) for networked switched systems (NSSs) with decentralized event-triggered communication, considering uncertainty and disturbance. It proposes a comprehensive analysis and synthesis method for the ADRC of NSSs, with the contributions of a novel parameter-dependent switching constraint and triggering the output of LESO instead of its input. Stability analysis and state convergence region calculations are also given, and simulation demonstrates the effectiveness of the proposed method.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Zhenbin Du, Yonggui Kao, Ju H. Park, Xudong Zhao, Jian'an Sun
Summary: This paper focuses on an event-triggered control design problem for nonlinear networked control systems with missing data and transmission delay in the interval type-2 (IT2) fuzzy form. An event-triggered controller is presented under a sampled-state-error mechanism, and stability analysis is carried out based on Lyapunov-Krasovskii functional (LKF) to ensure the stability of the closed-loop system. The proposed design is proven effective in continuous stirred tank reactor system (CSTR) and manipulator system, demonstrating the advantages of the event-triggered mechanism.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Na Wei, Xiaoming Tang, Xiao Lv, Zidi Xia
Summary: This paper addresses the problems of packet dropout and limited bandwidth in networked control systems (NCSs) using Lyapunov stability theory and linear matrix inequality (LMI). The paper investigates the output feedback H-infinity control problem for a class of discrete-time nonlinear NCSs with dynamic quantization and packet dropout via the self-triggered mechanism (STM).
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Jinliang Liu, Enyu Gong, Lijuan Zha, Engang Tian, Xiangpeng Xie
Summary: This article presents a solution to the observer-based security fuzzy control problem for a class of nonlinear networked systems with imperfectly matched membership functions. By utilizing the weighted try-once-discard protocol and a constructed observer, stability and security of the system can be ensured.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Mathematics
Hejun Yao, Fangzheng Gao
Summary: This paper studies the observer design and dynamic output feedback control for a class of nonlinear networked systems. The model of the networked systems is established using the T-S fuzzy method, and a state observer is designed for unknown system states. The paper explores the conditions for exponential stability of the system using the linear matrix inequality (LMI) method and Lyapunov stability theory. The dynamic output feedback control of the systems is designed using the observer states, ensuring exponential convergence to the origin for both the closed-loop systems and error systems. A simulation example is provided to illustrate the feasibility and effectiveness of the design method.
Article
Computer Science, Information Systems
Ladan Sadeghikhorami, Vijay Varadharajan, Ali Akbar Safavi
Summary: This paper introduces security techniques for Networked Control Systems (NCSs) to protect data confidentiality and defend against attacks. The use of encrypted observer, encrypted controller, and encrypted detection algorithm ensures system stability and performance.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Mohsen Farbood, Zeinab Echreshavi, Mokhtar Shasadeghi, Saleh Mobayen
Summary: This paper proposes an event-triggered integral sliding mode control (ISMC) for perturbed nonlinear Takagi-Sugeno (TS) fuzzy systems. A disturbance observer is designed to estimate and reduce the unmatched disturbances. Two types of sliding surfaces are established to reduce computational burden and communication resources. The proposed control scheme ensures system performance enhancement and Zeno-free behavior.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Automation & Control Systems
Alex S. Ira, Chris Manzie, Iman Shames, Robert Chin, Dragan Nesic, Hayato Nakada, Takeshi Sano
Summary: This study proposes a tuning framework that uses supervised machine learning to extract the human-learned cost function and an optimization algorithm for optimizing the extracted cost function, aiming to reduce tuning costs and improve performance in industrial control systems.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Article
Automation & Control Systems
Kaixiang Wang, Michael G. Ruppert, Chris Manzie, Dragan Nasic, Yuen Kuan Yong
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2020)
Article
Computer Science, Information Systems
Wanchun Liu, Girish Nair, Yonghui Li, Dragan Nesic, Branka Vucetic, H. Vincent Poor
Summary: This article focuses on Wireless networked control systems (WNCSs) and derives the stability region and analyzes the average cost function through a detailed wireless communication system model. The research results can help design optimal parameters to minimize the average cost within the stability region.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Automation & Control Systems
Mathieu Granzotto, Romain Postoyan, Lucian Busoniu, Dragan Nesic, Jamal Daafouz
Summary: This paper analyzes the stability of deterministic nonlinear discrete-time systems, constructs a Lyapunov function for the closed-loop system, and ensures a uniform semiglobal stability property with adjustable parameters including the discount factor and horizon length. It provides less conservative stability conditions, new relationships between optimal value functions, and investigates stability with only a near-optimal sequence of inputs for discounted finite-horizon costs.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Tianci Yang, Carlos Murguia, Margreta Kuijper, Dragan Nesic
Summary: This paper introduces an observer-based estimator that provides exponential estimation of the system state even in the presence of attacks on actuators and sensors. The proposed estimator also includes tools for reconstructing and isolating attacks, as well as a control scheme to stabilize closed-loop dynamics by switching off isolated actuators. Simulation results are provided to demonstrate the effectiveness of the proposed tools.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Automation & Control Systems
Mohammad Deghat, Saeed Ahmadizadeh, Dragan Nesic, Chris Manzie
Summary: This paper studies the behavior of singularly perturbed nonlinear differential equations with boundary-layer solutions. Results show that under certain conditions, solutions of the system have stability and controllable errors.
Article
Automation & Control Systems
Stefan H. J. Heijmans, Romain Postoyan, Dragan Nesic, W. P. Maurice H. Heemels
Summary: This article considers an alternative condition on the communication instants to better capture the time-varying properties of the transmission intervals, proposing a bound on the average allowable transmission interval in addition to the existence of a maximal allowable transmission interval. Through a novel Lyapunov-based analysis, stability of the NCS can still be guaranteed under this different condition on the transmission intervals.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Yankai Lin, Iman Shames, Dragan Nesic
Summary: This article explores minimizing the sum of potentially nondifferentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communication is uncoordinated. The study focuses on the behavior of an asynchronous algorithm and provides sufficient conditions for almost sure convergence, as well as a sublinear convergence rate that can be enhanced to linear under specific assumptions. Additionally, the extension of results in the literature allows for multiple and potentially overlapping blocks to be updated simultaneously with nonuniform probabilities.
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
(2021)
Article
Automation & Control Systems
Mathieu Granzotto, Romain Postoyan, Lucian Busoniu, Dragan Nesic, Jamal Daafouz
Summary: Optimistic planning (OP) is an important algorithm for generating near-optimal control inputs for nonlinear systems. The algorithm has been modified to overcome limitations and provide new performance guarantees, showing stability in control.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2022)
Article
Automation & Control Systems
Seth Siriya, Jingge Zhu, Dragan Nesic, Ye Pu
Summary: In this paper, a certainty-equivalence scheme is proposed for adaptive control of scalar linear systems subject to additive, i.i.d. Gaussian disturbances and bounded control input constraints, without requiring prior knowledge of the bounds of the system parameters, nor the control direction. Assuming that the system is at-worst marginally stable, mean square boundedness of the closed-loop system states is proven. Lastly, numerical examples are presented to illustrate the results.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Article
Automation & Control Systems
Alejandro I. Maass, Wei Wang, Dragan Nesic, Ying Tan, Romain Postoyan
Summary: This study focuses on nonlinear networked control systems (NCS) and proposes an emulation-based approach to implement the controller over multiple processors. The research starts with a stable and centralized NCS commonly found in literature, and then demonstrates how to deploy the centralized controller on multiple processors using parallel computing techniques while preserving stability under sufficiently fast computations (semi-globally and practically). An example is provided to illustrate the main findings.
IEEE CONTROL SYSTEMS LETTERS
(2023)
Proceedings Paper
Automation & Control Systems
Mathieu Granzotto, Olivier Lindamulage de Silva, Romain Postoyan, Dragan Nesic, Zhong-Ping Jiang
Summary: This article presents a new algorithm called PI+ for optimal control of nonlinear deterministic discrete-time plants. The algorithm ensures recursive feasibility and stability, outperforming existing policy iteration approaches. The results have implications for approximate dynamic programming and reinforcement learning research, providing a clear method for verification and enhancing system safety.
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC)
(2022)
Proceedings Paper
Automation & Control Systems
J. Kreiss, R. Postoyan, D. Nesic, W. P. M. H. Heemels
Summary: We investigate the scenario of controlling an over-actuated plant over a network, focusing on the effect of varying transmission intervals and scheduling. We propose an emulation-based solution for controller design that takes into account the network and ensures stability of the closed-loop system. Our results provide significant improvements for over-actuated plants compared to existing literature, with new model derivation and conditions on scheduling protocols to achieve a two-measure stability property for the networked control system.
Article
Automation & Control Systems
Tianci Yang, Carlos Murguia, Chen Lv, Dragan Nesic, Chao Huang
Summary: This study addresses the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with potentially unbounded attack signals. By exploiting redundancy in sensors and actuators and using a bank of unknown input observers (UIOs), the proposed observer-based estimator is capable of providing asymptotic estimates of the system state and attack signals under the condition that the numbers of sensors and actuators under attack are sufficiently small. Methods for isolating the compromised actuators and sensors are provided using the proposed estimator.
IEEE CONTROL SYSTEMS LETTERS
(2022)
Article
Computer Science, Theory & Methods
Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor
Summary: The paper focuses on maximizing privacy of stochastic dynamical systems by randomizing quantized sensor data before transmission to prevent accurate estimation of the system state. The joint probability distribution of additive vectors is designed to minimize mutual information between system state and randomized sensor data. Simulation experiments are presented to illustrate the privacy scheme.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2021)
