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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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Decomposing Visual and Semantic Correlations for Both Fully Supervised and Few-Shot Image Classification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第4期5卷 1658-1668页

作者： Zhang, Chunjie Zheng, Xiaolong Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China University of Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems The State of Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence Beijing100190 China

Most image classification methods are designed to either boost the classification accuracies with abundant supervision, or cope with the shortage of supervision information. This is often achieved by using the visual and semantic information of other sources. However, these methods use the visual and semantic information within the same class independently, leaving their intrinsic correlations unconsidered. Objects and disturbing components as well as noise exist on the same image. Besides, semantic representations also contain noisy information. To solve the problems mentioned above, we propose a novel method for both fully supervised image classification and few-shot image classification by decomposing visual and semantic correlations. We jointly explore the intrinsic correlations of visual and semantic information of images within the same class. For each class, we decompose its visual and semantic correlations using low-rank and sparse constraint respectively. The decomposed low-rank parts character the intrinsic correlations of images can be used in a linear transformation way. Using the decomposed parts of each class, Classification can be achieved by reconstruction error minimization. We conduct experiments on several datasets for both fully supervised image classification and few-shot image classification. Experimental results well show the effectiveness of the proposed method. © 2020 IEEE.

关键词： Semantics

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The Stability with Time Delays in Cacc System and Reconstitution Information of Vehiclescompensating Delays Based on Bi-Lstm

SSRN

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SSRN 2024年

作者： Zhang, Chenmin Liu, Yonggui Li, Zeming Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou510641 China

The communication delays have an impact on Cooperative Adaptive Cruise control (CACC) of vehicle platoon systems, since thepreceding and following vehicle information is utilized through vehicular Ad Hoc networks. In this paper a three-order vehicleplatoon system using distributed control protocols with communication delays is designed using leading and neighboring vehicleinformation. The sufficient necessary conditions for local stability and string stability are derived based on the Hurwitz stabilitycriterion and the frequency domain method without time delays, in which the thresholds of the controller gains and their relationshipis revealed. For the vehicle platoon systems with time delays, the upper bounds of the time delays satisfying the local stability andstring stability are given based on the method of Laplace transform. Aiming to the communication delays varied, which havegreatly influence on the control performance of vehicle systems, the Bidirectional Long Short Term Memory (Bi-LSTM) model isproposed to predict the acceleration of the leading vehicle to reconstitution for the communication delays, and the algorithm hashigher accuracy and relevance by comparing the acceleration prediction method based on LSTM and the KF method. Based on thesimulation method of compensating communication delay based on Bi-LSTM model, it is obtained that the CACC vehicle systemcan still maintain local stability and string stability under infinite time delay. © 2024, The Authors. All rights reserved.

关键词： Time delay

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HIDG-based PSO Algorithm: Suspicious Sensor Selection for Power Grid Monitoring System Under Data Integrity Attack 5

HIDG-based PSO Algorithm: Suspicious Sensor Selection for Po...

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5th International Conference on Electrical Engineering and control Technologies, CEECT 2023

作者： Li, Pandeng Liang, Zhihong Yang, Yiwei Dong, Liangyu Suo, Yuhan Hao, Yi Electric Power Research Institute Csg Guangdong Provincial Key Laboratory of Power System Network Security Guangdong Guangzhou China China Industrial Control Systems Cyber Emergency Response Team Beijing China Beijing Institute of Technology School of Automation Beijing China

ISBN: (纸本)9798350342253

With the development of communication and sensing technology, it has become possible to monitor the operating status of the power grid system through a series of sensors. However, malicious adversaries may launch data integrity attacks to compromise the measurements of certain sensors, causing the grid monitoring system to fail to grasp the correct system operating status. To solve the NP-hard suspicious sensor selection problem, this paper proposes an efficient attack detection scheduling algorithm, the Particle Swarm Optimization algorithm based on historical information directional guidance (HIDG-based PSO algorithm). The proposed algorithm is utilized with its unique evolutionary mechanism, which reduces the computational power requirements for sensor selection. For the problem of uncertainty in evolutionary algorithms, this paper uses historical information to guide the selection of suspicious sensors at the current moment. The simulation results show that the proposed algorithm can efficiently select suspicious sensors, which will greatly improve the efficiency of attack detection and ensure the security of information fusion of the power grid monitoring system. © 2023 IEEE.

关键词： Scheduling algorithms

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ADRC Combined with IMC for Non-Minimum Phase systems

ADRC Combined with IMC for Non-Minimum Phase Systems

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第42届中国控制会议

作者： Xiangyang Li Xindi Deng Senping Tian Wei Ai Key Laboratory of Autonomous Systems and Network Control Ministry of EducationSchool of Automation Science and EngineeringSouth China University of Technology

The integrated control method,active disturbance rejection control(ADRC) combined with internal model control(IMC),is proposed for non-minimum phase *** ADRC combined with IMC is to reduce the influence of zeros on right half plant(RHP),system uncertainty and outer *** improved IMC is put in the inner loop and ADRC is adopted in the outer *** order to enhance the system's stability,an approximate zero phase error model of controlled plant(ZPEM) is used as the internal model in the IMC control loop where the feedback of the inner loop is the dynamic weighted filter sum of the real output and the ZPEM *** theoretical analysis and simulations verify effectiveness of the proposed method for non-minimum phase systems.

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Semantic Coherence Guided Multiview Similarity for Image Classification with Varied Supervision

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第6期5卷 3072-3082页

作者： Zhang, Chunjie Cao, Ping Bai, Huihui Zheng, Xiaolong Beijing Jiaotong University Institute of Information Science Beijing100044 China Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing100044 China University of Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems The State of Key Laboratory of Management and Control for Complex System Institute of Automation Beijing100190 China University of Chinese Academy of Sciences School of Artificial Intelligence Beijing100190 China

Pairwise similarity has been widely used for image classification by propagating the class information from labeled images to unlabeled images and predicting the classes of unlabeled images accordingly. Although widely used, pairwise similarity based classification methods have two drawbacks. On one hand, visual-semantic similarity consistency does not always hold due to semantic gap. On the other hand, the reliability of pairwise similarity is also influenced by the number and underlying distribution of labeled images. A well-designed classification model cannot be easily generalized to few-shot classification tasks. To solve these two problems, in this article, we propose a semantic coherence guided multiview similarity (SCG-MV) for image classification method with varied supervision levels. We measure the semantic coherence between image pairs for classifier learning. This is achieved by first conducting line search along the line segment between each image pair, and then measure the semantics of each interval. The similarity of one image pair can then be obtained by aggregating the semantic coherence of all the intervals. In this way, we can model image similarities more finely and discriminatively. To make use of multiview information, we also use the semantic coherence guided image similarities to learn multiview classifiers. The proposed semantic coherence guided method can be combined with other similarity based methods for image classification with various levels of supervision. We conduct both few-shot and fully supervised classification experiments on four datasets with the results well prove the discriminative power and generalization ability of the proposed method. © 2020 IEEE.

关键词： Semantics

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On the Existence and Uniqueness of Steady State Solutions of a Class of Dynamic Hydraulic networks via Actuator Placement

On the Existence and Uniqueness of Steady State Solutions of...

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IEEE Conference on Decision and control

作者： Mark Jeeninga Juan E. Machado Michele Cucuzzella Giacomo Como Jacquelien Scherpen Department of Automatic Control Lund University Lund Sweden Chair of Control Systems and Network Control Technology Faculty 3 Mechanical Engineering Electrical and Energy Systems Brandenburg University of Technology Cottbus - Senftenberg Cottbus Germany Department of Electrical Computer Science and Biomedical Engineering Univeristy of Pavia Pavia Italy Department of Mathematical Science “G.L. Lagrange” Politecnico di Torino Torino Italy Department of Automatic Control Lund University Faculty of Science and Engineering Jan C. Willems Center for Systems and Control ENTEG University of Groningen Groningen the Netherlands

In this paper, using tools from graph theory we provide verifiable necessary and sufficient conditions for the existence of a unique hydraulic equilibrium in district heating systems of meshed topology and containing multiple heat sources. Even though numerous publications have addressed the design of efficient algorithms for numerically finding hydraulic equilibria in the general context of water distribution networks, this is not the case for the analysis of existence and uniqueness. Moreover, most of the existing work dealing with these aspects exploit the equivalence between the nonlinear algebraic equations describing the hydraulic equilibria and the KKT conditions of a suitably defined nonlinear convex optimization problem. Differently, this paper proposes necessary and sufficient graph-theoretic conditions on the actuator placement for the existence and uniqueness of a hydraulic equilibrium, independent of the actuators' control objective. An example based on a representative district heating network is considered to illustrate the key aspects of our contribution, and an explicit formulation of the steady state solution is given for the case in which pressure drops through pipes are linear with respect to the flow rate.

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Enhanced LPV-based lateral control using ultra-local model-based slip angle estimation

Enhanced LPV-based lateral control using ultra-local model-b...

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IEEE Conference on Decision and control

作者： Dániel Fényes Tamás Hegedűs Péter Gáspár Hungarian Research Network (HUN-REN) Kende u. 13-17 Institute for Computer Science and Control (SZTAKI) Budapest Hungary Department for Control of Transportation and Vehicle Systems Budapest University of Technology and Economics Stoczek u 2 Budapest Hungary

ISBN: (数字)9798350316339

ISBN: (纸本)9798350316346

The paper presents a combined observer and lateral control design approach for autonomous vehicles. The goal of the observer design is to estimate the front and rear slip angles of the vehicle together with the cornering stiffness. The observer is based on the combination of the polytopic LPV approach and the ultra-local model. The ultra-local model is used to update the cornering stiffness and, in this way, improve the performance level of the LPV observer. Then, the resulted observer is exploited during the LPV-based lateral control design. The improved lateral control can adapt to different circumstances such as low adhesion coefficient. The proposed observer and LPV controller is implemented and tested in MATLAB/Simulink environment and using the high-fidelity simulation software, CarMaker.

关键词： Adaptation models control design Heuristic algorithms Software algorithms Estimation Observers Mathematical models Software MATLAB Autonomous vehicles

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A method based on rotated object detection to detect defects regarding distance in strain clamps 3

A method based on rotated object detection to detect defects...

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2022 3rd International Conference on Electrical technology and Automatic control, ICETAC 2022

作者： Du, Qiliang Zhou, Huangze Qu, Fengrui Tian, Lianfang School of Automation Science and Engineering South China University of Technology Guangdong Guangzhou China Sino-Singapore International Joint Research Institute Guangdong Guangzhou China Key Laboratory of Autonomous Systems and Network Control of Ministry of Education China Research Institute of Modern Industrial Innovation South China University of Technology Guangdong Guangzhou China

Strain clamps in the transmission line have a vital role. With X-ray inspection in the transmission line, X-ray images to check defects of the tensioning line clip method have already become the mainstream method. In this paper, we concentrate on the strain clamps' steel anchor end and strand distance defects. We propose a method based on the rotated object detection model RoI Transformer with KFIoU loss to extract the diameter of the steel anchor tube as a reference to determine whether the distance is too long. We first obtain the rotated bounding boxes of the steel anchor and the strand, then calculate the distance between the steel anchor end and the strand and the diameter of the steel anchor by rotated bounding boxes, and finally determine whether there is a defect. Through the study of this essay, the defect detection of strain clamps realizes with high accuracy which has an essential reference for the quality inspection of tension clamp crimping in engineering applications. © Published under licence by IOP Publishing Ltd.

关键词： Defects

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Learning-Based Optimal control with Performance Guarantees for Unknown systems with Latent States

Learning-Based Optimal Control with Performance Guarantees f...

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European control Conference (ECC)

作者： Robert Lefringhausen Supitsana Srithasan Armin Lederer Sandra Hirche Chair of Information-oriented Control TUM School of Computation Information and Technology Technical University of Munich Germany Department of Computer Science ETH Zurich Learning and Adaptive Systems Group Switzerland

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

As control engineering methods are applied to in-creasingly complex systems, data-driven approaches for system identification appear as a promising alternative to physics-based modeling. While the Bayesian approaches prevalent for safety-critical applications usually rely on the availability of state measurements, the states of a complex system are often not directly measurable. It may then be necessary to jointly estimate the dynamics and the latent state, making the quantification of uncertainties and the design of controllers with formal performance guarantees considerably more challenging. This paper proposes a novel method for the computation of an optimal input trajectory for unknown nonlinear systems with latent states based on a combination of particle Markov chain Monte Carlo methods and scenario theory. Probabilistic performance guarantees are derived for the resulting input trajectory, and an approach to validate the performance of arbitrary control laws is presented. The effectiveness of the proposed method is demonstrated in a numerical simulation.

关键词： Uncertainty Monte Carlo methods Optimal control Europe Probabilistic logic Numerical simulation Trajectory

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