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Indistinguishability analysis and observer design for size-structured cell populations

IFAC-PapersOnLine 2023年第2期56卷 581-586页

作者： P. Jerono J.J. Winkin A. Vande Wouwer A. Schaum Digital Process Engineering Group (DPE) Karlsruhe Institute of Technology Germany Department of Mathematics and Institute for Complex Systems (naXys) University of Namur Belgium Systems Estimation Control and Optimization (SECO) University of Mons Belgium Chair of Automation and Control (ACON) Kiel University Germany

The observability property of population balance equations with biomass measurements is addressed within the framework of indistinguishable trajectories. The population balance equation is described by a partial integro-differential equation which is coupled with an ordinary differential equation for the nutrient dynamics. For the semi-discretized model equations, the dynamics of indistinguishable trajectories are derived and evaluated for the special case of equal partitioning at cell division revealing that the observability property is guaranteed as long as the nutrient concentration is not depleted. Based on these results, an observer is designed and tested in simulation to estimate the cell population distribution using biomass measurements in a batch bioreactor for the case of a bi-structured population.

关键词： Observability indistinguishable trajectories cell population dynamics

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Compensation of the Temperature Impact on the Characteristics of a Titania-Silica Thin Film Humidity Sensor Element

Compensation of the Temperature Impact on the Characteristic...

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Automatics and Informatics (ICAI), International Conference

作者： Stefan Ivanov Nedyu Nedev Zvezditza Nenova Department of Automation Information and Control Systems Technical University of Gabrovo Gabrovo Bulgaria Department of Fundamentals of Electrical and Power Engineering Technical University of Gabrovo Gabrovo Bulgaria

In the present work is investigated the impact of ambient temperature in the range of 20°C to 50°C under a change in relative humidity RH of 20% up to 92 % on the characteristics of a highly sensitive TiO 2 -SiO 2 -based thin-film impedance humidity sensor element doped with Ce and prepared by a sol-gel method. The variation of sensor impedance changes in a very wide range - about 4 orders of magnitude. The sensor element is connected in a measurement circuit based on an AC bridge, a variable gain amplifier, a precision rectifier, and a microcontroller with a built-in analog-to-digital converter. The use of artificial neural networks monitoring the ambient temperature and measured voltage is proposed for the realization of the temperature compensation of the characteristics. The proposed approach allows compensating the impact of temperature and performing measurements when connecting humidity sensing elements with a very wide range of impedance change.

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Language Reasoning in Vision-Language-Action Model for Robotic Grasping

Language Reasoning in Vision-Language-Action Model for Robot...

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Chinese automation Congress (CAC)

作者： Lingling Fan Kang Chen Zhezhuang Xu Meng Yuan Ping Huang Weibing Huang Education Department of Fujian Province Key Laboratory of Industrial Automation Control Technology and Information Processing College of Electrical Engineering and Automation Fuzhou University Fuzhou China Evomotion Co. Ltd. Guangdong Shenzhen China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

Grasping tasks are crucial for the interaction between the robot and environment, requiring the robot to make autonomous decisions based on environmental conditions and instructions. Recently, multimodal Vision Language Models (VLMs) have demonstrated significant potential for robotic grasping. However, previous work has often been confined to high-level planning due to the gap between the text output of VLMs and the numerical predictions of robot actions, as well as the challenges of transferring rich semantic information from large models to the prediction of grasping actions. In this paper, we co-fine-tune a pre-trained VLM using the mix of large-scale visual language data and robotic grasping trajectory data, integrating model into an end-to-end robot control system to construct a Vision Language Action Model (VLA) capable of generating the robot's underlying actions. Simultaneously, to fully leverage the prior knowledge and reasoning capabilities of the pre-trained model, we insert a language reasoning structure to bridge the mapping from high-level tasks to low-level actions. This method first deduces the relevant information regarding the target object and the end-effector motions, followed by predicting the grasping actions value with finer granularity based on the language reasoning, thereby enhancing the accuracy of action predictions. A series of grasping experiments demonstrate that our method achieves a high grasping success rate under flexible language instructions and exhibits strong generalization capabilities for unseen objects and scenes.

关键词： Bridges Visualization Grasping Transforms Predictive models Cognition Data models Numerical models Trajectory Robots

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Execution of smart electric vehicle charging station driven by RE technology using soft computing approach 3

Execution of smart electric vehicle charging station driven ...

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3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 2021

作者： Kumar, K. Vinoth Sujitha, S. Stalin, B. Buvana, D. Josh, F.T. Vinodha, K. Ramya, K.C. Saravanakumar, R. Logeswaran, D. New Horizon College of Engineering Department of Electrical and Electronics Engineering Bengaluru India Dr. MGR Polytechnic College Department of Electrical and Electronics Engineering Arni India Dhanalakshmi College of Engineering Department of Electrical and Electronics Engineering Chennai India Karunya Institute of Technology and Sciences Department of Electrical and Electronics Engineering Coimbatore India PES University Electronic City Campus Department of Computer Science Engineering Bengaluru India Sri Krishna College of Engineering and Technology Department of Electrical and Electronics Engineering Coimbatore India School of Electrical Engineering Vellore Institute of Technology Department of Control and Automation Vellore India Kongu Engineering College Department of Electrical and Electronics Engineering Perundurai India

ISBN: (纸本)9781665426916

This paper outlines potential demand for electric vehicles, charging station infrastructure and its challenges for the India scenario, as well as the increasing liberalization and expansion of production, transmission and distribution. Distributed and renewable electricity generation and distribution, as well as market processes related to energy allocation and energy mix. is the subject of evolutionary development with improved performance and reliability. Structural analysis of respective parameters was performed for the commercial scope of electric vehicles in the existing energy market and regulatory concerns are taken into account to describe a scenario in which a company global control of electric vehicle charging and service provision of ancillary networks. Experimental results show confirmatory results. © 2021 IEEE.

关键词： Commercial vehicles

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Dynamic Data Reconciliation for Improving the Forecasting Performance of Wind Power based on Long Short-term Memory

Dynamic Data Reconciliation for Improving the Forecasting Pe...

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Chinese automation Congress (CAC)

作者： Wangwang Zhu Ying Zhang Weihua Zhou Zhengjiang Zhang Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China Department of Mechanical and Electrical Engineering Taizhou Vocational and Technical College Taizhou China National-Local Joint Engineering Laboratory for Digitalize Electrical Design Technology Wenzhou University Wenzhou China

As one of the most promising power generation methods, effective forecast of wind power generation for uncertain environment contributes to the planning and operation of power systems. In this work, the long short-term memory (LSTM) network is developed for wind power forecasting. Then, a dynamic data reconciliation (DDR) method is proposed for suppressing sensor noise and improve the forecasting performance. LSTM extends the recurrent neural networks (RNN) through gate functions, which is a popular RNN variant with state memory. However, the modeling datasets with Gaussian (or non-Gaussian) sensor noise may degrade the expected performance of LSTM. The proposed DDR performs Bayesian estimation of the real information by extracting useful parts of the two process-related information, and the relatively accurate data obtained from DDR is used to improve the accuracy of modeling. Experimental results verify that the LSTM model with DDR is less affected by Gaussian or non-Gaussian sensor noise, showing a better wind power forecasting performance.

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On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Differential Evolution Method

On Solar Photovoltaic Parameter Estimation: Global Optimalit...

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IEEE Conference on Decision and control

作者： Shuhua Gao Cheng Xiang Ming Yu Kuan Tak Tan Tong Heng Lee School of Control Science and Engineering Shandong University Jinan China Department of Electrical and Computer Engineering National University of Singapore Singapore Power Automation Pte Ltd Singapore Engineering Cluster Singapore Institute of Technology Singapore

The literature presents a vast array of advanced metaheuristic methods for photovoltaic parameter estimation. However, the focus of this study is not to introduce another new method into this already crowded field. Instead, we examine two important but often overlooked questions: (i) are existing results globally optimal, and (ii) can a simpler method achieve comparable performance. We conduct case studies using two widely used I-V curve datasets. To address the first issue, we develop a branch and bound algorithm that, despite its sluggishness, either certifies the global minimum or provides a tight upper bound. These values serve as useful benchmarks for fair metaheuristic evaluation and further development. To answer the second question, our extensive examination and comparison surprisingly reveal that a basic differential evolution (DE) algorithm can achieve the certified global minimum or obtain the best known result. Additionally, the DE algorithm's runtime is much shorter than that of current state-of-the-art metaheuristic methods, making it a great choice for time-sensitive applications. This remarkable finding suggests that using increasingly complex metaheuristics in ordinary PV parameter estimation problems might be unnecessary. Finally, we discuss the implications of these outcomes and propose the simple DE method as the premier choice for industrial applications.

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Adaptive Pseudo Inverse control for a Class of Nonlinear Asymmetric and Saturated Nonlinear Hysteretic Systems

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IEEE/CAA Journal of Automatica Sinica 2021年第4期8卷 916-928页

作者： Xiuyu Zhang Ruijing Jing Zhiwei Li Zhi Li Xinkai Chen Chun-Yi Su School of Automation Engineering Northeast Electric Power Universityand also with Jilin Province International Research Center of Precision Drive and Intelligent ControlJilin 132012China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China Department of Electronic and Information Systems Shibaura Institute of TechnologySaitama 337-8570Japan Department of Mechanical and Industrial Engineering Concordia UniversityQCMontreal H3B 1R6Canada

This paper aims at eliminating the asymmetric and saturated hysteresis nonlinearities by designing hysteresis pseudo inverse compensator and robust adaptive dynamic surface control(DSC)***"pseudo inverse"means that an on-line calculation mechanism of approximate control signal is developed by applying a searching method to the designed temporary control signal where the true control signal is *** main contributions are summarized as:1)to our best knowledge,it is the first time to compensate the asymmetric and saturated hysteresis by using hysteresis pseudo inverse compensator because the construction of the true saturated-type hysteresis inverse model is very difficult;2)by designing the saturated-type hysteresis pseudo inverse compensator,the construction of true explicit hysteresis inverse and the identifications of its corresponding unknown parameters are not required when dealing with the saturated-type hysteresis;3)by combining DSC technique with the tracking error transformed function,the"explosion of complexity"problem in backstepping method is overcome and the prespecified tracking performance is *** of stability and experimental results on the hardware-inloop platform illustrate the effectiveness of the proposed adaptive pseudo inverse control scheme.

关键词： Adaptive dynamic surface control adaptive pseudo inverse control asymmetric and saturated hysteresis robust control

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Comparative performance analysis of short-range wireless protocols for wireless personal area network

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Iran Journal of Computer Science 2021年第3期4卷 201-210页

作者： Mubashar, Rehman Siddique, Muhammad Abu Bakar Rehman, Ateeq Ur Asad, Adeel Rasool, Asad Department of Electrical Engineering Government College University Lahore Pakistan College of New Energy China University of Petroleum Qingdao China School of Automation and Control Science China University of Petroleum Qingdao China Department of Electrical Engineering Superior University Lahore Pakistan

A wide area of a personal network is discuses thoroughly. Wireless personal area networks (WPANs) can be categorized into four parts: Bluetooth, ZigBee, Wi-Fi, and Ultra Wide Band (UWB). Bluetooth and ZigBee wireless technologies are a specification for short-range, low-cost, and small form factor that enables user-friendly connectivity among portable and handheld personal devices, and provide connectivity of these devices to the Internet. It is found from the literature, that ZigBee and Bluetooth are used for short-range while Wi-Fi and UWB have some large-range as compared to Bluetooth and ZigBee. A comparison of short-range wireless technologies is presented. Different parameters, i.e., data coding efficiency, transmission time, transmission range and frequency, power consumption, and the bit error rate of WPAN are plotted and discussed. Some short-range characteristics are also discussed with future aspects. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.

关键词： Bluetooth UWB Wi-Fi WPAN ZigBee

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An Active Battery Balancing Strategy for Battery Packs in Series

An Active Battery Balancing Strategy for Battery Packs in Se...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Shengqi Zhang Lingbo Yu Zhe Zhou Yuhui Miao Yujie Sheng Shiwei Xie Department of Electrical Engineering Shanghai University Shanghai China State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Co. Ltd. Fuzhou China College of Electrical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

Battery packs are widely used for electric vehicles. However, Battery packs connected in series suffer from weak consistency, reducing available capacity and creating safety issues. The Battery Management System (BMS) is used to address these problems. For the BMS, the paper proposes an active balancing circuit with a fuzzy logic based balancing strategy for series connected battery packs. The simulation results show that the strategy realizes SOC consistency and improves power utilization.

关键词： Fuzzy logic Simulation Neural networks System integration Main-secondary Batteries Topology Safety State of charge Kalman filters

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Design and application of a one-stop mobile application sharing platform for steel enterprises

Design and application of a one-stop mobile application shar...

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第42届中国控制会议

作者： Xinzhe Chen Luefeng Chen Jie Hu Qingfeng Yang Min Wu Witold Pedrycz School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Electrical and Computer Engineering University of Alberta

As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance.

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