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检索条件"机构=Center for Control and Intelligence Technology"

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Modeling Pedestrian Dynamics Based on Reinforcement Learning 8

Modeling Pedestrian Dynamics Based on Reinforcement Learning

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Li, Kun Wang, Qianling Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

A reinforcement learning-based pedestrian dynamics model is proposed in this paper. A pedestrian is defined as an agent that contains information about its own state, the distance between the pedestrian and the exit, and the distance to other pedestrians or surrounding obstacles. In order to solve the problems of pedestrians avoiding collisions and evacuating to the exit at an appropriate speed, a reward function is designed based on factors such as the Reciprocal Velocity Obstacle area and the pedestrian's distance to the exit. The model is trained using BiGRU based neural network, and the LN method is used for data normalization to speed up the training process. Based on the established model, the clogging phenomenon at the exit, the relationship between speed and the number of pedestrians, and the crowd evacuation behavior when there is an obstacle at the exit are simulated. The experimental results are consistent with existing research and verify the effectiveness of the model to a certain extent. © 2024 IEEE.

关键词： Reinforcement learning

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A Prediction Method of Phase Equilibrium Mass Fraction Based on Pre-training RoBERTa Model 8

A Prediction Method of Phase Equilibrium Mass Fraction Based...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Yang, Guangyu Zhang, Wei Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

Phase equilibrium plays a crucial role in various industries such as chemical, petroleum, and pharmaceutical. However, conventional methods for predicting gas-liquid equilibrium have limited applicability and require specialized knowledge in chemistry. To address this issue, we propose a gas-liquid equilibrium prediction model based on pre-trained RoBERTa model. The model accurately predicts the mass fraction of liquid(x 1) and gas(y1) of component 1, and R2 reaches 0.8776, which shows that it has high accuracy. The performance metrics on the test set, including mean square error (MSE), root mean square error (RMSE), and average absolute error (MAE), stand at 0.0126,0.1124 and 0.0715, respectively, further affirming the model's precision. Notably, our model only needs to input smiles codes of two substances and the pressure and temperature of the reaction to make predictions, significantly lowering the prediction threshold. And it can be used in a wide range of temperature and pressure conditions of the water system. © 2024 IEEE.

关键词： Prediction models

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Finite-Time Formation Tracking Under Event-Triggered Scheme of Multi-Agent Systems Subject to Input Saturation 8

Finite-Time Formation Tracking Under Event-Triggered Scheme ...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Xing, Yunlong Liu, Jiao Ma, Xujie Li, Hongchao Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

This paper focuses on the finite-time time-varying formation tracking (TVFT) problem for multi-agent systems. Input saturation is taken into account, which can severely limit the performance of TVFT systems. The proposed control protocol solves the finite-time formation tracking problem under input saturation and the nonlinear external disturbances. To ensure the finite-time convergence of the multi-agent system, a stabilization procedure consisting of two steps is carried out. In addition, applying event-triggered scheme to TVFT control avoids constant communication between agents and no Zeno behavior. Finally, the theoretical results of this interrogation study is demonstrated through detailed simulations. © 2024 IEEE.

关键词： Multi agent systems

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Adaptive control of 3D Gantry Crane Considering Rope Length Variation 8

Adaptive Control of 3D Gantry Crane Considering Rope Length ...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Zhang, Wenjie Qian, Yuzhe Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

In recent years, with the development of the economy, the control of harbor container cranes has attracted the attention of researchers. Tianjin Port is the first large comprehensive port in the north of China, the efficiency and work stability of port container cranes will directly affect the development of the port economy. In the face of market demand continues to large-scale, automation, and intelligent development, there is an urgent need to design a set of control methods suitable for port container cranes. To this end, this paper proposes a three-dimensional gantry crane system based on a sliding mode surface adaptive control method under the case of time-varying rope length and theoretically proves that the method can make the trolley arrive at the specified position quickly and accurately, and can effectively inhibit the load and the swing angle of the trolley through Lyapunov stability and Barbalat's Lemma The effectiveness of the method is proven. Finally, the good performance of the method is proved by setting up a Simulink platform for a series of simulations and comparing it with the PD control method. The design concept of this control method can be widely applied to the design of other adaptive control methods. © 2024 IEEE.

关键词： Gantry cranes

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Nonlinear control Strategy with Guaranteed Transient Performance for Double Pendulum Cranes 8

Nonlinear Control Strategy with Guaranteed Transient Perform...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Fan, Zhenyue Chen, He Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

This paper proposes a control strategy with guaranteed transient performance for double pendulum crane systems. This control strategy not only completes the control objectives, but also improves the convergence performance. First, applying the prescribed performance bound (PPB) technology, the state variable errors of the system are transformed. This technology can eliminate the steady static errors and guarantee transient performance. This technology enables the trolley to reach the specified desired position quickly, and limits the first and second pendulum angles, ensuring the safety performance of the system. Then, in the controller design, more swing angle information is used as feedbacks. In this way, the first and second pendulum angles are restrained, the double pendulum effect is solved. So, this way improves the safety of the system. The stability analysis proves that the errors of the system state variables can reach a very small neighborhood of zero with the specified exponential speed according to prescribed performance bound technology. Finally, the simulation results validate that this control strategy achieves the control objectives, restrains the first and second pendulum angles, and ensures the transient performances of the system. © 2024 IEEE.

关键词： Transient stability

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Active Disturbance Rejection control Method for Offshore Cranes Based on Differential Fatness 8

Active Disturbance Rejection Control Method for Offshore Cra...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Li, Zhaoqi Chen, He Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

As important working equipment on the sea, offshore cranes play an important role in a series of activities at sea. Offshore crane is a kind of mechanical equipment specially used for lifting materials at sea. It is widely used in ports, ships, marine engineering and other fields. It is used for loading and unloading goods, installing equipment, maritime rescue, scientific research and detection tasks. In ship operation, due to the complexity of the marine environment and the instability of the hull, the lifting operation is often affected by the ship excitation and wind load, and the lifting load is prone to swing, which brings difficulties and risks to the operation and cargo transportation. Under the influence of interference such as sea waves, the payload of offshore cranes is prone to large swing in the process of transportation. If not controlled, it will cause adverse effects. It is very important to realize the accurate positioning of payloads in special application environment. Therefore, this paper proposes an active disturbance rejection control method for offshore cranes based on differential flatness technique. Specifically, the coupling problem of the system is solved by differential flatness technique, and effective flat outputs are constructed. Then, we design an active disturbance rejection controller using the constructed flat outputs. The expressions of the relationship between the flat outputs and the state variables can be calculated. Finally, in order to verify whether the method is true and effective, and can achieve the desired objectives, we conduct a set of simulation tests. © 2024 IEEE.

关键词： Disturbance rejection

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The Optimization of TSK Regression Model by FCM, Droprule and Lion 8

The Optimization of TSK Regression Model by FCM, Droprule an...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Qin, Yuhong Wang, Likui Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

TSK (Takagi-Sugeno-Kang) fuzzy system is widely used because of its good approximation performance. In order to effectively optimize the regression problem of TSK fuzzy system, based on the recently proposed MBGD-RDA (mini-batch gradient descent with regularization, DropRule and AdaBound) algorithm, we also propose the FCM-Lion (Fuzzy c means with DropRule and Lion) algorithm. The algorithm uses FCM to cluster the input samples to obtain the required number of rules, thus avoiding the problem of rule explosion caused by the shared rule base. In addition, it combines the latest proposed lion (EvoLved Sign Momentum) optimizer to replace the AdaBound algorithm, becouse Lion uses sign function to ignore the length of the gradient and only retains the direction of the gradient, thus playing a regularization effect in optimization process. And since lion only maintains a momentum information, it consumes less memory, so our paper combines it with DropRule to further accelerate parameter optimization. The algorithm we proposed is compared with other four optimization algorithms to prove its superiority by experimenting on six regression datasets with different sizes and dimensions. The results show that the RMSEtest of FCM-Lion is basically the smallest, and the training time is lower than the other four algorithms, which proves the effectiveness of our proposed algorithm. © 2024 IEEE.

关键词： Fuzzy systems

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Application Exploration of Digital Twin technology in Second-Loop System of Nuclear Power Plants 8

Application Exploration of Digital Twin Technology in Second...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Ma, Zheng Chen, Xi Gao, Zhanghui Jin, Qiang Wei, Hongli Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

In response to the intelligent needs of the development of nuclear power technology in recent years, this article proposes an application exploration of a nuclear power plant secondary control system based on digital twin technology. It introduces the research on nuclear power plant technology and the development status of digital twin technology, analyzes the specific requirements of nuclear power plant secondary control system, proposes a full lifecycle application framework, and provides a feasible implementation plan. The use of cutting-edge technologies that have not been used in nuclear power plants has improved the reliability and safety of nuclear power systems, and key technologies that may be applied in the future have been elaborated. © 2024 IEEE.

关键词： digital twin life cycle nuclear power simulation

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A Non-Singular Terminal Sliding Mode controller for Rigid Spacecraft Attitude Tracking under Actuator Failures and Attacks 8

A Non-Singular Terminal Sliding Mode Controller for Rigid Sp...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Wang, Yajun Yin, Zuozhuang Xun, Shida Guan, Jiayou Ji, Wenqiang Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China

ISBN: (纸本)9798350380286

This paper investigates the problem of finite-time attitude tracking control for rigid spacecrafts with actuator faults and attacks. Firstly a fast non-singular terminal sliding mode control method is proposed to avoid singularity. Then, the controller based on sliding mode control is designed to solve the spacecraft attitude tracking problem. In the presence of actuator faults and attacks, this technique can make the attitude and angular velocity tracking errors converge in a finite time, and any small bound centered on the equilibrium point converges, and then asymptotically reaches the equilibrium point, ensuring the stability of the spacecraft. This control has the advantages of fast convergence, high accuracy, strong robustness, and easy implementation. Finally, under the multiple constraints of actuator failures and attacks, external disturbances, and inertial uncertainties, the finite-time convergence of the spacecraft attitude tracking system is proved by Lyapunov stability theory, and the good performance of the proposed controller is verified by simulation results. © 2024 IEEE.

关键词： Sliding mode control

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An Improved YOLOv7 Model with SimAM for Wind Turbine Blade Defects Detection 8

An Improved YOLOv7 Model with SimAM for Wind Turbine Blade D...

引用

8th International Symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Chen, Peng Lin, Bin Chen, Xu Hebei University of Technology School of Artificial Intelligence Control Engineering Technology Innovation Center of Hebei Province Tianjin China Hebei University of Technology School of Artificial Intelligence Tianjin China

ISBN: (纸本)9798350380286

Traditional wind turbine blade defects detection methods, mainly based on strain measurement, acoustic wave analyse, ultrasound, thermography phenomenon, and so on. However, these measure methods usually has common faults in low recognition accuracy and weak detection ability for small targets in complex backgrounds. In order to tackle with above critical problems, this paper proposes a high-accuracy model which is based on the YOLOv7 network. First, Offline data augmentation methods are used to boost the images numbers of dataset and simulate the defects of WTBs (Wind Turbine Blades) in complex background. Moreover, the size of bounding box for each images in datasets made by this paper is counted. The result is that the number of defects with small size in the dataset is the highest, according to the definition of small object given by COCO dataset. In addition, the effectiveness of online data augmentation approaches is analysed in ablation experiment. Moreover, to improve the YOLOv7 model detection accuracy in small size WTBs, the SimAM (Simple Attention module) is introduced to the neck portion of the YOLOv7 model. The experimental results demonstrate a significant improvement in various detection metrics with the improved YOLOv7 model, effectively reducing occasions of missed detections and false detections. © 2024 IEEE.

关键词： Wind turbine blades

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