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Zero-sum game-based formation control for multi-USVs under hybrid irregular output constraints

nonlinear Dynamics 2025年 1-15页

作者： Tang, Daocheng Pang, Ning Wang, Xin Lei, Yan Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Westa Southwest University Chongqing400715 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information Engineering Southwest University Chongqing400044 China

This article investigates the finite-time leader-following formation control (LFC) problem for multiple unmanned surface vehicles (USVs) subject to disturbances and hybrid irregular (HI) output constraints. Here, the HI output constraint refers to a generalized output constraint that alternates irregularly among unilateral (only upper or lower) constraints, bilateral (both upper and lower) constraints, and free-constraint over time. To handle HI output constraints in multi-USV scenarios, a novel barrier function (BF) is proposed to uniformly transform both bilateral and unilateral constrained systems into unconstrained ones for controller designs. Subsequently, a zero-sum game (ZSG)-based controller is developed for multi-USVs to guarantee robust optimal control (ROC) against the worst-case disturbance without extra anti-disturbance module designs. Furthermore, the identifier-actor-critic reinforcement learning (IAC-RL) framework is designed in the ZSG-based control scheme, where the identifier, critic, and actor are utilized to estimate unknown system dynamics, evaluate system performance, and implement control policy, respectively. Finally, the effectiveness of the proposed control scheme is demonstrated through simulations of the multi-USV model. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.

关键词： Robust control

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Distributed Fixed-Time Dynamic Event-Triggered Algorithm for Economic Dispatch in Smart Grids Over Directed Networks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical Systems 2025年 3卷 173-180页

作者： Ji, Lianghao Liu, Qi Zhang, Cuijuan Yang, Shasha Li, Huaqing Chongqing University of Posts and Telecommunications Chongqing Key Laboratory of Image Cognition Chongqing400065 China Southwest University Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China

A fresh algorithm is presented for tackling the economic dispatch problem (EDP) in smart grids with directed network topology. This algorithm is based on distributed consensus and aims to minimize the total cost of power generation while maintaining the balance between power supply and demand and complying with generation capacity restrictions. Even with unknown and bounded disturbances, this algorithm can achieve optimal dispatch within a fixed time. In addition, an expected settling time can be calculated, which is a more accurate upper bound estimation that relies solely on the generators' initial conditions. Meanwhile, the dynamic event-triggered strategy is employed for reducing sampling frequency and network resource consumption. Finally, numerical simulations validate the effectiveness of the designed algorithm. © 2024 IEEE.

关键词： Consensus algorithm

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Accelerated Primal-Dual Projection Neurodynamic Approach With Time Scaling for linear and Set Constrained Convex Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1485-1498页

作者： You Zhao Xing He Mingliang Zhou Tingwen Huang Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing College of Electronic and Information EngineeringSouthwest UniversityChongqing 400715China School of Computer Science Chongqing UniversityChongqing 400044China Department of Mathematics Texas A&M University at QatarDoha 23874Qatar IEEE

The Nesterov accelerated dynamical approach serves as an essential tool for addressing convex optimization problems with accelerated convergence *** previous studies in this field have primarily concentrated on unconstrained smooth con-vex optimization *** this paper,on the basis of primal-dual dynamical approach,Nesterov accelerated dynamical approach,projection operator and directional gradient,we present two accelerated primal-dual projection neurodynamic approaches with time scaling to address convex optimization problems with smooth and nonsmooth objective functions subject to linear and set constraints,which consist of a second-order ODE(ordinary differential equation)or differential conclusion system for the primal variables and a first-order ODE for the dual *** satisfying specific conditions for time scaling,we demonstrate that the proposed approaches have a faster conver-gence *** only requires assuming convexity of the objective *** validate the effectiveness of our proposed two accel-erated primal-dual projection neurodynamic approaches through numerical experiments.

关键词： Accelerated projection neurodynamic approach lin-ear and set constraints projection operators smooth and nonsmooth convex optimization time scaling.

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Centroid-Based Security Monitoring for Indoor Elderly Care with Millimeter Wave Radar 43

Centroid-Based Security Monitoring for Indoor Elderly Care w...

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43rd Chinese Control Conference, CCC 2024

作者： Huang, Chicheng Li, Chuandong Gao, Zelin Wu, Zhenyu Shi, Yawei Li, Huaqing Southwest University College of Electronic and Information Engineering Chongqing400715 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing China

ISBN: (纸本)9789887581581

The increasing use of millimeter wave radar for smart elderly care is due to its precision, privacy, and cost-effectiveness. This technology enables real-time monitoring of unexpected incidents, particularly falls among the elderly indoors. By examining the relationship between cloud points and human centroids, this paper exploits the unique features of millimeter wave radar for personnel detection and human activity recognition. An improved Kalman filter algorithm for centroid tracking has been introduced. It effectively monitors the three-dimensional trajectory and velocity changes associated with various human behaviors. Subsequently, machine learning algorithms and neural networks are employed to classify these behaviors, including walking, sitting, and falling. Compared to conventional Kalman filtering, this approach effectively handles dispersion characteristics within point clouds, resulting in a smoother trajectory and more consistent centroid. This method enables the recognition of abnormal activities of people indoors with a maximum classification accuracy of 93.02%. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Kalman filters

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A Multiband Frequency Reconfigurable Antenna for Wireless Communication 43

A Multiband Frequency Reconfigurable Antenna for Wireless Co...

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43rd Chinese Control Conference, CCC 2024

作者： Liang, Rongkai Li, Chuandong Su, Youxun Liang, Weiwei Chen, Menggang Luo, Zhen Southwest University College of Electronic and Information Engineering Chongqing400715 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing China

ISBN: (纸本)9789887581581

In order to enhance the adaptability of wireless devices across diverse applications, it becomes imperative for an antenna to embody a multitude of functionalities, including the capacity to dynamically reconfigure the operating frequency, polarization mode, and radiation pattern. This paper introduces a frequency-reconfigurable antenna that incorporates an L-U shaped slot band with a Split-Ring Resonator (SRR). Fabricated on a 1.2 mm low-cost FR4 substrate using a partially grounded design approach, which measures 40 × 35 mm2. By manipulating the bias states of the two PIN diodes, the radiation element current and field distributions can be altered, resulting in reconfigurable bands spanning 2.45 GHz, 3.3 GHz, 4.5 GHz, 7.4 GHz, and 9.4 GHz, with an expansive Ultra-Wide Bandwidth (UWB) of 4230 MHz. This antenna design caters to a range of wireless applications, including WLAN (Wireless Local Area Network), WiMAX (Worldwide Interoperability for Microwave Access), Remote Radio, and X-band Satellite Communication. Through meticulous simulation optimization, four reconfiguration scenarios are thoroughly examined by presenting and analyzing the simulation results. © 2024 Technical Committee on Control Theory, Chinese Association of Automation.

关键词： Interoperability

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Stress recognition based on graph structure representation of facial StO2

Stress recognition based on graph structure representation o...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Wang, Jiaxiu Liu, Xinyu Jia, Yingjuan Chen, Tong Huang, Jingru Zhang, Zheyuan Southwest University College of Electronic and Information Engineering Chongqing400715 China Southwest University Institute of Legal Psychology and Intelligent Computing Chongqing400715 China Southwest University Chongqing Key Laboratory of Non-Linear Circuits and Intelligent Information Processing Chongqing400715 China

ISBN: (纸本)9798350337488

Stress is an integral state that affects physical and mental health of individuals. Tissue Oxygen Saturation (StO2) is an emerging physiological signal and can reflect different stress states. Previous studies have simply extracted features of StO2 from specific regions of the face without exploring potential associations between them. In this paper, we analyze the facial Region of Interest (ROI) based on StO2, so as to explore the deep relationship between ROIs. Building upon this, we construct, for the first time, a StO2-based facial graph structure for stress recognition by using ROIs as nodes. In addition, we propose a new graph pooling method called FTPool which allows to measure node significance in terms of both node characteristics and graph topology. Finally, we further propose a dual-stream network (GCNet) combining GNN and CNN for the baseline-independent stress recognition. The experimental results show that the proposed GCNet can achieve state-of-the-art (SOTA) results with an accuracy of 78.57% on the original unbalanced database. © 2023 IEEE.

关键词： Graph pooling Graph structure Regions of Interest Stress recognition Tissue oxygen saturation

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A Fusion Shallow and Deep Features Network for Facial StO2 Stress Classification 6

A Fusion Shallow and Deep Features Network for Facial StO2 S...

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6th IEEE information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2023

作者： Xia, Haolin Sun, Sirui Liu, Xinyu Zhou, Ju Wang, Hanpu Chen, Tong School of Electronic and Information Engineering Southwest University Chongqing China Key Laboratory of Non-Linear Circuit and Intelligent Information Processing of Chongqing Chongqing China Institute of Legal Psychology and Intelligent Computing Chongqing China

ISBN: (纸本)9781665460033

Stress is an emotional state that affects our lives, so it is vital to detect it accurately. Numerous studies have shown that tissue oxygen saturation (StO2) is an effective physiological signal for identifying different stress states. However, previous StO2 feature extraction methods relied too heavily on baselines to be realized in practice. In this paper, a two-stream network combining shallow and deep features, called CRNet, is proposed for baseline-independent StO2 stress classification. In CRNet, shallow features are extracted using a CNN network and deep features are extracted using a ResNet network. For the extracted high-dimensional deep features, MLP module is employed for dimensionality reduction, which can effectively combine the two levels of features and improve the feature extraction capability of the network. Experimental results show that CRNet can significantly improve the performance of StO2 stress classification to the state-of-the-art (SOTA) even when using only raw imbalanced data. © 2023 IEEE.

关键词： Feature extraction

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Blood pressure monitoring via double sandwich-structured triboelectric sensors and deep learning models

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Nano Research 2022年第6期15卷 5500-5509页

作者： Xu Ran Fangyuan Luo Zhiming Lin Zhiyuan Zhu Chuanjun Liu Bin Chen Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing College of Electronic and Information EngineeringSouthwest UniversityChongqing 400715China Research Laboratory U.S.E.Co.Ltd.Shibuya-kuTokyo 150-0013Japan

Real-time blood pressure monitoring is essential for the timely diagnosis and treatment of cardiovascular *** traditional prediction methods estimate blood pressure by measuring multiple sets of physiological signals with energyconsuming ***,a continuous,cuffless and self-powered blood pressure monitoring system was developed based on a new double sandwich-structured triboelectric sensor and a novel blood pressure method estimation.A pyramid-patterned sensor based on the double sandwich structure realizes a sensitivity of 0.89 V/kPa in a linear range of 0–35 kPa,which is more than twice of the conventional single electrode *** sensor processes a low pressure detection limit of 1 g andfast response time of 32 ***,it can easily capture the pulse signal at the radial ***,a novel method for estimating blood pressure using pulse waves accompanied by the user’s background information was *** method measures only one set of pulse signals and is portable.A deep learning model with multi-network structures was developed to improve the estimation *** mean absolute error and standard deviation of error for systolic and diastolic blood pressure(SBP and DBP)estimations were 3.79±5.27 and 3.86±5.18 mmHg,*** work reveals a new sensing structure of triboelectric sensors and offers a novel method for blood pressure estimation.

关键词： triboelectric nanogenerator self-powered sensor blood pressure monitoring deep learning

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Impact of Crosstalk and Loss on the Training Process of Integrated Photonic Neural Networks 6

Impact of Crosstalk and Loss on the Training Process of Inte...

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6th International Conference on Electronic Engineering and Informatics, EEI 2024

作者： Pang, Jing Su, Ye Xie, Yiyuan College of Electronic and Information Engineering Southwest University Chongqing400715 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China Key Laboratory of Networks and Cloud Computing Security of Universities in Chongqing Chongqing400715 China

ISBN: (纸本)9798350353594

Integrated photonic neural networks (IPNNs), with their ability to process large-scale data and parallelize multiple computational tasks, have shown impressive promise for applications in the field of artificial intelligence. However, due to some hard-to-ignore non-ideal characteristics of the underlying silicon photonic MZI devices constituting the IPNN, these non-ideal characteristics can cause the input signal to be affected by crosstalk noise and optical loss during transmission, thus affecting the training and inference accuracy of the IPNN. In order to solve these problems, this paper establishes an analytical model of IPNN affected by crosstalk noise and loss during the training process, covering component level, layer level and system level. Simulations using this model show that the inference accuracy of IPNN decreases by about 65% when the crosstalk noise in the training phase of IPNN reaches -20 dB, while the inference accuracy of IPNN decreases by about 55% when the optical loss reaches -0.5 dB. © 2024 IEEE.

关键词： Crosstalk

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High Contrast Ratio 4-to-2 Plasmonic Encoder Utilizing Cascaded Ring Resonators 6

High Contrast Ratio 4-to-2 Plasmonic Encoder Utilizing Casca...

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6th International Conference on Electronic Engineering and Informatics, EEI 2024

作者： Chen, Yan Xie, Yiyuan Chai, Junxiong Ye, Yichen College of Electronic and Information Engineering Southwest University Chongqing400715 China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Chongqing400715 China Key Laboratory of Networks and Cloud Computing Security of Universities in Chongqing Chongqing400715 China

ISBN: (纸本)9798350353594

In this paper, a novel plasmonic 4-to-2 encoder comprising cascaded ring resonators coated with graphene layers and two metal-insulator-metal (MIM) waveguides. The encoding function operates at 850 nm by modulating the intensity of pump beam focused on the graphene layer to manipulate the state of the plasmonic resonators. The performance of the encoder is analyzed utilizing the finite-difference time-domain method, demonstrating a high contrast ratio of 15.1 dB. Thus, this efficient 4-to-2 optical encoder is well-suited for integration into optical integrated computing devices. © 2024 IEEE.

关键词： Semiconductor insulator boundaries

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