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Adaptive Neural Fixed-Time Control for Uncertain Nonlinear Systems

IEEE Transactions on Circuits and Systems II: Express Briefs 2024年第2期71卷 637-641页

作者： Liu, Siwen Wang, Huanqing Li, Tieshan Xu, Ke Navigation College Dalian Maritime University Dalian116026 China College of Mathematical Sciences Bohai University Jinzhou121000 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu610054 China

This brief addresses the adaptive fixed-time system control problem subject to unknown nonlinear functions. By employing backstepping technique, fixed-time control, and neural networks (NNs), an adaptive fixed-time control approach is developed. NNs are utilized to package the unknown nonlinearities in the controlled system. The hyperbolic tangent functions are firstly utilized to solve the singular problem, which may exist in the derivation of virtual controller. Meanwhile, the jitter phenomenon is avoided. The developed controller design scheme not only assures the signals' boundedness within fixed-time interval, but also makes the tracking error converge. Finally, on the aid of the simulation results, the effective of the designed control technique is shown. © 2024 IEEE.

关键词： Backstepping

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Design of Sliding Mode Extended State Observer for Active disturbance rejection control of Air Intake System 4

Design of Sliding Mode Extended State Observer for Active di...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Zhou, Zezhen Rong, Haina Bi, Tong Zhang, Gexiang Dan, Zhihong Zhang, Song School of Electrical Engineering Southwest Jiaotong University Chengdu611756 China School of Automation Chengdu University of Information Technology Chengdu610225 China Science and Technology on Altitude Simulation Laboratory AECC Sichuan Gas Turbine Establishment Mianyang621703 China

ISBN: (纸本)9798331541729

The air intake control system is a key part of a type of propulsion system test bed. However, the existence of disturbances and random measurement noise in the control system, directly affect the reliability of the engine transition state test results. In this paper, a novel sliding mode extended state observer is designed to improve the anti-disturbance performance of the intake pressure control system. First, a sliding-mode convergence law is designed to improve the convergence speed and accuracy of the system state, and then a sliding mode surface is designed to reduce tracking error. Based on the designed sliding-mode convergence law and sliding mode surface, a nonlinear convergence function is designed to modify the structure of traditional extended state observer, improving tracking accuracy and speed. Simulation experiment results show that the proposed sliding mode extended state observer reduces the overshoot by 32.7% when tracking the intake pressure and 48.9% when tracking the intake temperature, indicating its effective anti-disturbance performance while ignoring the temperature feedback delay. © 2024 IEEE.

关键词： Disturbance rejection

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Moving Object Segmentation by Combing Deep Learning and Geometric Constraints for Autonomous Driving

Moving Object Segmentation by Combing Deep Learning and Geom...

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2023 China automation Congress, CAC 2023

作者： Yuan, Jianying Wu, Sidong Tsotsos, John K. School of Automation Chengdu University of Information Technology Chengdu China York University Department of Electrical Engineering and Computer Science Toronto Canada

ISBN: (纸本)9798350303759

Moving object segmentation is an important and challenging task in the field of autonomous driving. This paper presents a novel and effective method that combines deep learning and geometric constraints for moving object segmentation. First, potential moving objects in the traffic scene are segmented using SOLOV2. Next, the residual optical flows (ROFs) of feature points on the potential moving objects are calculated. Lastly, a strategy considering randomness of ROF angles and ROF magnitude thresholding is developed to estimate the motion status of these potential moving objects. The effectiveness of the proposed method is evaluated on the KITTI and KITTI MOD datasets, and the experimental results demonstrate that the proposed method can achieve higher precision and recall compared to the existing algorithms. © 2023 IEEE.

关键词： Autonomous vehicles

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Adaptive Prescribed Performance Control of Robotic Manipulators with Velocity Constraints and Arbitrary Initial Joint Positions 14

Adaptive Prescribed Performance Control of Robotic Manipulat...

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14th International Conference on Information Science and technology, ICIST 2024

作者： Ren, Xing Guo, Qing Li, Tieshan Li, Xinyu School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China College of Electronics Information Engineering Hebei University Baoding071002 China

ISBN: (纸本)9798350353334

A novel adaptive prescribed performance control method for the n-DOF robotic manipulators is proposed in this paper. Firstly, a normalization constraining function g is designed for state transformation and constructing a new system model. The risk of singularity problems can be reduced by adjusting the parameters of function g. Then, an adaptive prescribed performance controller is developed based on the constructed system model, which allows the initial joint positions of the manipulator to be arbitrary, and can guarantee that the tracking error reaches the desired accuracy within the preset time TP. Meanwhile, different velocity constraints can be individually imposed on each joint. In addition, an adaptive law is designed to estimate the lumped uncertainty in the system and compensate for its negative influence, which improves the control performance. Finally, the effectiveness of the proposed method is verified by simulations and experiments on a 4-DOF manipulator. © 2024 IEEE.

关键词： Robot applications

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The optimal design of cavity optomechanical micro-hemispherical gyroscope 7

The optimal design of cavity optomechanical micro-hemispheri...

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7th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2024

作者： Wang, Maoyuan Zhang, Senyu Liu, Jun Li, Zhe Jiang, Haoxuan Luo, Xiaoliang Ji, Zhe Wen, Guangjun Huang, Yongjun University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China University of Electronic Science and Technology of China School of Automation Engineering Chengdu China Glasgow College UESTC University of Electronic Science and Technology of China Chengdu China National Innovation Institute of Defense Technology Academy of Military Science PLA Beijing China Shijiazhuang Tiedao University School of Mechanical Engineering Shijiazhuang China

ISBN: (纸本)9798350384437

Micro-hemispherical resonator gyroscope (micro-HRG) is one of the most precise micro-vibratory gyroscopes. However, traditional micro-hemispherical resonator gyroscope has complex processing and weak anti-electromagnetic ability. Micro-HRGs based on optomechanical drive the resonator cavity and detect angular velocity/vibrations through optomechanical interactions, offering advantages such as ultra-high precision and ease of control. This paper investigates the driving and detection mechanisms of angular velocity and vibrations in micro-HRGs based on cavity optomechanics and Whispering Gallery Mode (WGM), as well as their structural design methods. It includes simulation analyses of performance in optical modes and mechanical modes. In terms of optical modes, the paper discusses and analyzes the influence of the length and thickness of the outer edge of the resonator on the optical resonance frequency and the optical quality factor;in terms of mechanical modes, it discusses and analyzes the influence of the radius and length of the support column on the mechanical resonance frequency. © 2024 IEEE.

关键词： Whispering gallery modes

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Average Filtering Error-Based Event-Triggered Fuzzy Filter Design with Adjustable Gains for Networked Control Systems

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IEEE Transactions on Fuzzy Systems 2025年第6期33卷 1963-1976页

作者： Pan, Yingnan Huang, Fan Li, Tieshan Lam, Hak-Keung Qingdao University School of Automation Shandong Qingdao266071 China Bohai University College of Control Science and Engineering Liaoning Jinzhou121013 China University of Electronic Science and Technology of China School of Automation Engineering Sichuan Chengdu611731 China King's College London Strand Department of Engineering LondonWC2R 2LS United Kingdom

This paper investigates the event-triggered H∞ filtering problem for interval type-2 fuzzy networked control systems with data loss. The goal of this paper is to design an event-triggered fuzzy filter with adjustable gains to further improve the H∞ performance of the filtering error system (FES) while saving communication resources. Firstly, an adaptive event-triggered mechanism (ETM) that utilizes the average filtering error to adaptively adjust the triggered threshold is proposed to mitigate network congestion. In contrast to the existing filtering achievements, the proposed adaptive ETM considers the impact of filtering error on data transmission which can achieve the effect of saving more communication resources. Then, an interval stability theory is applied to adjust the filter gains for achieving the purposes of changing the convergence speed of the FES and improving the Hinfty performance. Moreover, under the conditions of imperfect communication links, sufficient criteria for designing the H∞ filter with adjustable gains are obtained based on the interval stability theory and linear matrix inequalities technique. Finally, the simulation results are utilized for demonstrating the feasibility of the proposed method. © 1993-2012 IEEE.

关键词： Fuzzy filters

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Flexible assistance strategy of lower limb rehabilitation exoskeleton based on admittance model

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Science China(Technological Sciences) 2024年第3期67卷 823-834页

作者： KOU JianGe WANG YiXuan CHEN ZhenLei SHI Yan GUO Qing XU Meng School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Aeronautics and Astronautics University of Electronic Science and Technology of ChinaChengdu 611731China Department of Musculoskeletal Tumor Senior Department of Orthopedicsthe Fourth Medical Centerof PLA GeneralHospitalBeijing 100853China

Exercise training based on exoskeleton is an effective rehabilitation method for stroke patients. However, some rehabilitation exoskeletons still have poor wearable performance and obvious human-robot impedance during training, which easily cause secondary injuries to the patients. In this study, a variable admittance control strategy is proposed to improve the operator's wearable comfort, which can adapt to different operators by regulating admittance parameters. The admittance controller has two feedback loops: the position inner-loop and the admittance outer-loop. Meanwhile, the exoskeleton Lagrange model is constructed with unknown friction disturbance. By using Lyapunov technique and backstepping with state observer, the joint position error of exoskeleton is convergence into a zero neighborhood. The effectiveness of the proposed admittance controller is verified by both simulation and experiment. The tracking error of hip and knee joint is less than 4 degrees while the human-robot interaction torque is constrained in a tolerable range of the operator.

关键词： human-robot interaction exoskeleton backstepping admittance control

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Verification of a self-developed CFD-based multi-physics coupled code MPC-LBE for LBE-cooled reactor

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Nuclear Science and Techniques 2021年第5期32卷 84-100页

作者： Zhi-Xing Gu Qing-Xian Zhang Yi Gu Liang-Quan Ge Guo-Qiang Zeng Mu-Hao Zhang Bao-Jie Nie College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyChengdu 610059China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China

To perform an integral simulation of a pool-type reactor using CFD code,a multi-physics coupled code MPC-LBE for an LBE-cooled reactor was proposed by integrating a point kinetics model and a fuel pin heat transfer model into self-developed CFD *** code verification,a code-to-code comparison was employed to validate the CFD ***,a typical BT transient benchmark on the LBE-cooled XADS reactor was selected for verification in terms of the integral or system *** on the verification results,it was demonstrated that the MPC-LBE coupled code can perform thermal-hydraulics or safety analyses for analysis for processes involved in LBE-cooled pool-type reactors.

关键词： LBE-cooled pool-type reactor Computational fluid dynamics Multi-physics coupling code Safety analysis code Verification

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Realizing Ultra-Low Phase Noise 100MHz Crystal Oscillator Utilizing Modified Leeson Model 14

Realizing Ultra-Low Phase Noise 100MHz Crystal Oscillator Ut...

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14th IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2024

作者： Xu, Lin Ye, Peng Tan, Feng Chen, Cheng Liao, Shuang School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen518110 China

ISBN: (纸本)9798350366556

This paper presents the design and implementation of an ultra-low phase noise 100MHz crystal oscillator, along with the development and simplification of its noise theory. Specific circuit designs and noise measurements are provided. The noise theory encompasses the oscillator's primary noise sources, offering a treatment approach ranging from oscillator nonlinearity to local linearization. The design incorporates a low-noise sustaining and buffer amplifier, electrical tuning circuitry, and resonator selection. Phase noise measurements demonstrate a performance of -173dBc/Hz at 1kHz offsets, matching the highest phase noise index currently attainable (NEL's 100 MHz Reference OCXO). Furthermore, the analysis reveals that reducing dominant noise in various frequency bands away from the carrier is an effective strategy for achieving ultra-low phase noise. © 2024 IEEE.

关键词： Buffer amplifiers

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Review on Distributed Photovoltaic Carrying Capacity Optimisation Algorithms for Distribution Networks

Review on Distributed Photovoltaic Carrying Capacity Optimis...

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IEEE Asia Power and Energy engineering Conference (APEEC)

作者： Nuo Chen Dongsheng Cai School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

The large-scale distributed PV access to the distribution network will lead to normal and non-normalised risks in the distribution network, including node voltage overruns, transformer reverse heavy overloads, power quality degradation, etc., so the carrying capacity of the distribution network for distributed PV is limited. The purpose of this paper is to study the carrying capacity of distribution grid for distributed PV and optimization methods. Firstly, considering the uncertainty brought by the large-scale access of high proportion of distributed PV to the distribution network and the correlation between PV output and load, the carrying capacity of distributed PV to the distribution network is analyzed from five aspects, namely, return current, thermal stability, short-circuit current, voltage deviation, and harmonics; and then the optimization methods for the carrying capacity of distributed PV to the distribution network are considered from the source, network, load, and storage.

关键词： Analytical models Uncertainty Distribution networks Voltage Power system harmonics Harmonic analysis Calibration Timing Thermal stability Load modeling

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