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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Ye, Ruiqing Deng, Wudong Guo, Yanning Li, Chuanjiang Department of Control Science and Engineering School of Astronautics Harbin Institute of Technology Harbin150001 China Shanghai Institute of Satellite Engineering Shanghai201109 China

ISBN: (纸本)9789819733231

This paper addresses the pursuit-evasion game problem for spacecraft using pulse propulsion, uses Particle Swarm Optimization (PSO) and Proximal Policy Optimization (PPO) algorithms as pursuit and evasion strategies for the spacecraft. The distance between the spacecraft is employed as the optimization objective for the PSO algorithm, aiming to minimize the distance between them. Similarly, the distance between the spacecraft is used as the reward function for the PPO algorithm, aiming to maximize the distance between them. Additionally, the paper takes into account that the spacecraft use pulse propulsion with a maximum velocity increment constraint. Through simulation examples, the effectiveness of using the PPO algorithm as a spacecraft strategy-solving method is validated. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Spacecraft

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Intermittent fault diagnosis based on EMD decomposition and convolutional neural network 2

Intermittent fault diagnosis based on EMD decomposition and ...

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2nd IEEE International Conference on Electrical, Automation and Computer engineering, ICEACE 2024

作者： Peng, Yu Liu, Yuhang Lin, Ruishi Xiang, Gang Wang, Shenhang Yang, Zhiming Beijing Aerospace Automatic Control Institute Department of System Engineering Beijing China Harbin Institute of Technology School of Electronics and Information Engineering Harbin China

ISBN: (纸本)9798350368208

The paper introduces an intermittent fault diagnosis method for analog circuits using EMD and CNN. The proposed method obtains the circuit output characteristics under different intermittent fault type using SPICE simulation. Then, EMD is used to extract the features and finally, the CNN model for fault detection and localization is built. The effectiveness of the method is validated through experiments in a three-phase SVPWM circuit. © 2024 IEEE.

关键词： Convolutional neural networks

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Stabilization With Prescribed Instant for High-Order Integrator Systems

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IEEE Transactions on Cybernetics 2023年第11期53卷 7275-7284页

作者： Kuang, Jiyuan Gao, Yabin Chen, Chih-Chiang Zhang, Xiaoju Sun, Yizhuo Liu, Jianxing Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China National Cheng Kung University Department of Systems and Naval Mechatronic Engineering Tainan70101 Taiwan Harbin Institute of Technology School of Mathematics Harbin150001 China

This article develops a new controller design approach to stabilize system states onto the equilibrium at an arbitrarily selected time instant irrespective of the initial system states and parameters. By the stabilization approach, the actual convergence time (not the bound of actual convergence time) is independent of the initial value of system states. This feature differentiates our proposed prescribed-instant stability from conventional fixed, predefined, and prescribed time stability. In this work, we propose the controller design method for the prescribed-instant stability of n-order integrator systems. The proposed control is bounded and can gradually go to zero at an arbitrarily selected time instant, at which the system states reach zero simultaneously. This special stability of the controlled system is analyzed by reduction to absurdity. In simulations, an example of comparison with frequently used prescribed-time control is presented to show the difference. Moreover, the proposed stabilization method is validated by a magnetic suspension system with matched disturbances. © 2013 IEEE.

关键词： Stability criteria

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A Hybrid Trajectory Planning Strategy for Intelligent Vehicles with Collision Avoidance 41

A Hybrid Trajectory Planning Strategy for Intelligent Vehicl...

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第41届中国控制会议

作者： Yufa You Linhui Zhao Haifeng Liu Zhiyuan Liu Department of Control Science and Engineering Harbin Institute of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents a hybrid trajectory planning strategy with interpolation curve optimization method under the constraints of collision avoidance and vehicle *** an objective function consisting of a weighted sum of comfort and efficiency,the cubic polynomial curve is firstly optimized under the initial state and the terminal state constraints to generate a reference ***,in order to generate collision-free trajectory,lateral and longitudinal turning factors are introduced to cluster the reference *** to the dimension relationship between vehicle and road,the maximum lane change distance and the maximum turning curvature,the number of trajectories in the cluster is ***,an algorithm is designed to detect the collision of the *** priority of the trajectories is defined to determine the optimal ***,a lateral vehicle dynamic model is *** judge the feasibility,under the condition of dynamic constraints,the reference trajectory is tracked with optimal control signal and judged by the tracking *** this way,the collision risk is eliminated,and the trajectory performance is *** results show that the trajectory planning strategy is effective in different scenarios.

关键词： Intelligent vehicles trajectory planning collision avoidance vehicle dynamics

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A Fixed-Time Convergence Sliding Mode Observer Based Model-Free Predictive Current control for PMSMs 49

A Fixed-Time Convergence Sliding Mode Observer Based Model-F...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Lin, Xinpo Luo, Yiang Gao, Yabin Liu, Jianxing Peretti, Luca Harbin Institute of Technology Department of Control Science and Engineering Harbin China Kth Royal Institute of Technology Department of Electrical Engineering Stockholm Sweden

ISBN: (纸本)9798350331820

This paper presents a model-free predictive current controller for permanent magnet synchronous motors. The dynamic model of the motor currents is represented using an ultra-local model, where all system parameters, nonlinear terms, and other unmodeled dynamics are encapsulated into two lumped functions. These functions are estimated online using a second-order fixed-time sliding mode observer, allowing for system model estimation without requiring exact knowledge of the system parameters in advance. Subsequently, a predictive controller is designed by taking into consideration the inherent one-step delay. Simulation results are presented to showcase the effectiveness and efficacy of the proposed approach. © 2023 IEEE.

关键词： Permanent magnets

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Finite-Time control for Combination Spacecraft Attitude Based on LESO of Auxiliary System

Finite-Time Control for Combination Spacecraft Attitude Base...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Han, Xiao Zhou, Lifan Ma, Guangfu Chen, Xixuan Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China School of Control Science and Engineering Shandong University Jinan250061 China

ISBN: (纸本)9789811966125

This paper proposes a finite-time control method for the attitude of combined spacecraft without system parameter identification, avoiding the problems of long identification time and low identification accuracy of the combined spacecraft parameters. The method designs an auxiliary system based on the features of the model, combines the Linear Extended State Observer (LESO) and non-singular terminal sliding mode control(SMC), and achieves the finite-time attitude control of the combined spacecraft. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Spacecraft

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Fixed-time position coordinated tracking control for spacecraft formation flying with collision avoidance

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Chinese Journal of Aeronautics 2021年第11期34卷 182-199页

作者： Minglei ZHUANG Liguo TAN Kehang LI Shenmin SONG Center for Control Theory and Guidance Technology Harbin Institute of TechnologyHarbin 150001China Research Center of Basic Space Science Harbin Institute of TechnologyHarbin 150001China Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control EngineeringBeijing 100190China

In this paper,the fixed-time stability of spacecraft formation reconfiguration(position tracking)is ***,a novel nonsingular terminal sliding mode surface is designed and based on which a fixed-time coordinated controller is designed to keep the closed-loop system states have a finite settling time bounded by some predefined ***,another nonsingular terminal sliding mode surface is designed by combining the artificial potential function and the aforementioned sliding surface,which meets the mutual distance constraint during transition process among spacecraft when it is *** another coordinated controller with fixed-time observer considering mutual distance constraint is presented,which guarantees the closed-loop system states stable also in bounded settling ***,simulation results are shown to validate the correctness of the proposed *** is worth mentioning that the control schemes also work even though there is a properly limit on the control input.

关键词： Collision avoidance Disturbance rejection Fixed-time stability Sliding mode control Spacecraft formation flying

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Memristive effects on an improved discrete Rulkov neuron model

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Science China(Technological Sciences) 2023年第11期66卷 3153-3163页

作者： BAO Han LI KeXin MA Jun HUA ZhongYun XU Quan BAO BoCheng School of Microelectronics and Control Engineering Changzhou UniversityChangzhou 213159China Department of Physics Lanzhou University of TechnologyLanzhou 730050China School of Computer Science and Technology Harbin Institute of TechnologyShenzhenShenzhen 518055China

A change in neuronal-action potential can generate a magnetically induced current during the release and propagation of intracellular *** better characterize the electromagnetic-induction effect,this paper presents an improved discrete Rulkov(ID-Rulkov)neuron model by coupling a discrete model of a memristor with sine memductance into a discrete Rulkov neuron *** ID-Rulkov neuron model possesses infinite invariant points,and its memristor-induced stability effect is evaluated by detecting the routes of period-doubling and Neimark-Sacker *** investigated the memristor-induced dynamic effects on the neuron model using bifurcation plots and firing ***,we theoretically expounded the memristor initial-boosting mechanism of infinite coexisting *** results show that the ID-Rulkov neuron model can realize diverse neuron firing patterns and produce hyperchaotic attractors that are nondestructively boosted by the initial value of the memristor,indicating that the introduced memristor greatly benefits the original neuron *** hyperchaotic attractors initially boosted by the memristor were verified by hardware experiments based on a hardware *** addition,pseudorandom number generators are designed using the ID-Rulkov neuron model,and their high randomness is demonstrated based onstrict test results.

关键词： neuron model invariant point memristive effect complex dynamics pseudorandom number generators

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Class Incremental Learning Method for Hyperspectral Images Based on Real Data Playback Mechanism and Classification Network Optimization 15th

Class Incremental Learning Method for Hyperspectral Images B...

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15th International Conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Liu, Xiaodong Wang, Siqi Liu, Huanyu Li, Junbao Department of Automatic Test and Control School of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China School of Computer Science and Technology Information Countermeasure Technique Institute Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9789819700677

In recent years, the hyperspectral image (HSI) classification has attracted great attention in the field of earth observation. With the expansion of application scenarios and the continuous improvement of application requirements, new classes of HSI continue to emerge. In the face of open and dynamic application scenarios, the model is required to be able to continuously learn new categories based on maintaining existing category knowledge. Class incremental learning algorithms have received extensive attention as key solutions to the problem above. In this paper, we use a regularization-based incremental learning algorithm, elastic weight consolidation (EWC) for class incremental learning for HSI classification. After data preprocessing to reduce data dimensions, we select new classes for research on class incremental learning. We combine 3D-2D convolutional structures and residual blocks as the classification network and use real data playback mechanism to improve class recognition accuracy and realize class incremental recognition of HSI data. We demonstrate the feasibility of the algorithm with extensive experiments based on three widely used hyperspectral datasets. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Learning algorithms

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Constrained control of Networked High-Order Fully Actuated Systems via Predictive control 41

Constrained Control of Networked High-Order Fully Actuated S...

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第41届中国控制会议

作者： Da-Wei Zhang Guo-Ping Liu Center for Control Theory and Guidance Technology Harbin Institute of Technology Department of Electronic and Electrical Engineering Southern University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This study is concerned with the output tracking of networked high-order fully actuated(NHOFA) systems subject to input saturation and prescribed performance.A predictive control based constrained control approach is presented to cope with this *** this approach,an incremental HOFA prediction model is constructed via a Diophantine Equation,and then a cost function,considering input saturation and prescribed performance,is optimized by multi-step output prediction,so that an optimal constrained tracking controller is established to satisfy the tracking requirement and given *** analysis presents a simple condition of bounded stability and tracking performance of closed-loop NHOFA systems,which offers a reliable foundation for constrained coordinated control of NHOFA multiagent systems.A numerical simulation of flying-around for air-bearing simulator is shown to prove the feasibility of the proposed approach.

关键词： NHOFA Systems Constrained control Predictive control Bounded Stability and Tracking Performance

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