Article
Automation & Control Systems
Hong-Tao Sun, Chen Peng, Maoli Wang, Min Zhao
Summary: This paper investigates the input to state stabilizing control of networked control systems (NCSs) with a specified packet dropout rate. The study considers two transmission intervals in NCSs based on the occurrence of packet dropouts: small delay intervals (packet-dropout-free case) and large delay intervals (packet-dropout case). The concept of average packet dropout rate (ADR) is introduced to characterize the quality of service (QoS) for networks. The paper presents a switched systems approach to derive the input to state stability (ISS) conditions for a specified ADR using Lyapunov theory and input delay approach. The controller design method for NCSs under a specified ADR is obtained by solving linear matrix inequalities (LMIs). A control and communication co-design method is proposed to design the controller gain based on QoS. Finally, simulations on self-steering control of autonomous vehicles are conducted to verify the effectiveness of the proposed co-design method.
Article
Engineering, Electrical & Electronic
Shuang Li, Wenqiang Liu, Guili Tao
Summary: This paper studies the estimation problem for multisensor networked systems with mixed uncertainties and proposes a robust estimation method based on the centralized fusion algorithm, which improves the estimation accuracy by improving the combination of information received by the sensors.
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Yuanyu Cai, Xiao Lu, Haixia Wang, Xiao Liang
Summary: This article studies the optimal control for networked control systems subject to Markovian packet dropouts and input delay. The solutions to the forward and backward stochastic difference equations are obtained using Pontryagin's maximum principle. Sufficient and necessary optimal control conditions are derived and the explicit expression of the optimal controller is presented.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Wenli Chen, Xiaojian Li
Summary: This paper investigates data-driven control for networked control systems with multiple packet dropouts and unknown system parameters. The paper establishes a model-based mean-square asymptotic stability condition and a data-driven mean-square asymptotic stability condition for the closed-loop system. Additionally, it presents data-driven controller gain design approaches for combining unknown and known input gain matrices. Two simulation examples are provided to demonstrate the applicability of the developed approaches.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Shaofeng Chen, Yang Cao, Yu Kang, Bingyu Sun, Xuefeng Wang
Summary: This paper proposes a deep representation-based predictive compensation method for networked nonlinear systems with packet-dropouts, which encodes correlations of state and control sequences into deep feature representations and generates predictions of the next control command for compensating packet dropouts. The stability of the overall system is rigorously proved by the Lyapunov theory.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Automation & Control Systems
Wenqiang Liu, Guili Tao
Summary: This article investigates the robust fusion steady-state filtering problem for a class of multisensor networked systems with mixed uncertainties. Through a model transformation approach, the original system is converted into a system with only uncertain noise variances, and robust local and fused steady-state Kalman estimators are presented along with an optimal fusion algorithm. The robustness and accuracy relations among the estimators are proved using a combination method.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2021)
Article
Automation & Control Systems
Xiao Lu, Yuanyu Cai, Hongxia Wang, Haixia Wang, Guilin Zhang, Xiao Liang
Summary: This paper addresses the optimal control problem for networked control systems with Markovian packet dropouts. While previous studies only consider one-way Markovian packet dropouts, this study aims to provide a complete solution for the two-way Markovian packet dropouts. By utilizing the Pontryagin's maximum principle and mathematical induction method, a solution to the forward and backward stochastic difference equations is derived. Furthermore, the necessary and sufficient condition for the optimal control problem is obtained, and the optimal controller is determined based on the complete square method. Numerical examples are provided to illustrate the effectiveness of the proposed theory.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2023)
Article
Automation & Control Systems
Hao-Yuan Sun, Hong-Gui Han, Jian Sun, Jun-Fei Qiao
Summary: This paper investigates the observer-based sampled-data control problem for networked systems with consecutive packet dropouts. A new consecutive packet dropout model is established to describe the phenomenon of packet dropout in both the sensor-controller (S-C) and controller-actuator (C-A) channels. The effectiveness of the proposed observer-based sampled-data control approach is verified using a numerical example, and the advantages of the proposed approach are validated through comparisons.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Automation & Control Systems
R. Caballero-Aguila, J. Linares-Perez
Summary: The design of recursive estimation algorithms in networked systems is an important challenge that requires considering network-induced uncertainties and transmission issues. This paper discusses the distributed fusion estimation problem in a class of linear stochastic uncertain systems, proposing recursive algorithms and compensation strategies.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
El Hacene Djallel Lakehal Ayat, Noura Mansouri, Abdelkrim Boukabou
Summary: This paper addresses the problem of robust stabilization for networked control systems (NCS) using Takagi-Sugeno (T-S) fuzzy systems. A time-varying delay fuzzy controller is designed to achieve robust exponential stability with a prescribed decay rate. The proposed method is validated through numerical examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Weixiang Zhou, Yueying Wang, Yinzheng Liang
Summary: In recent years, there has been increasing attention on the control synthesis and analysis of networked control systems (NCSs), and many research contributions have been published. Sliding mode control (SMC) is an effective method to address uncertainties and nonlinear characteristics in NCSs due to its complete robustness on the sliding mode surface. This paper provides a review of the recent advances and challenges of SMC in NCSs, along with potential future research topics.
Article
Automation & Control Systems
Hong-Tao Sun, Chen Peng, Cheng Tan
Summary: This paper presents a novel self-discipline predictive control (SPC) scheme to compensate for missing control inputs in networked control systems (NCS) under arbitrary bounded packet dropouts. The SPC scheme allows for self-stabilisation with limited feedback measurements and is validated through simulations on autonomous vehicle path following control.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Automation & Control Systems
Xiaowei Jiang, Jianhao Li, Bo Li, Xiangyong Chen, Huaicheng Yan
Summary: This study focuses on the optimal tracking performance (OTP) of networked control systems (NCSs) considering packet dropouts and noise constraints in communication networks, and provides explicit expressions for the OTP limitation under these constraints. The results indicate that the intrinsic features of the plant and the communication parameters of the network channel will affect the OTP of the NCSs.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Qianhao Li, Qingsheng Yang, Xisheng Zhan, Huaicheng Yan
Summary: This paper investigates the regulation performance limitation of networked time-delay systems. The communication network is influenced by various parameters such as packet dropouts, encoding-decoding, interference signal, and channel noises. The study considers non-minimum phase zeros, unstable poles, and time delay for a given plant. The derived regulation performance expression in the frequency domain shows that the system's performance is related to the inherent characteristics of the plant and the network communication parameters. Simulation examples are provided to demonstrate the effectiveness of the theory.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Automation & Control Systems
Xiongbo Wan, Tizhuang Han, Jianqi An, Min Wu
Summary: This paper investigates fault detection in singularly perturbed systems with data transmitted over a limited bandwidth communication network using a hidden Markov model. A homogeneous Markov chain is used to model packet dropouts and time delays, with a focus on designing an HMM-based FD filter for system stability and performance. By introducing a new Lyapunov-Krasovskii function and linear matrix inequalities, a design scheme for the FDF and evaluation criteria for system performance are provided.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
