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Decoding split-frequency representation for cross-scale tracking

Neural Networks 2025年 189卷 107587页

作者： Yuanming Zhang Hao Sun State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin 150001 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Bio-Computing Research Center Harbin Institute of Technology Shenzhen Shenzhen 518055 China

Learning tailored target representations for tracking is a promising direction in visual object tracking. Most state-of-the-art methods utilize autoencoders to generate representations by reconstructing the target’s appearance. However, these reconstructions are often augmented to mimic scale jitter and alteration, neglecting physical scale observations such as those in aerial videos. This article addresses the challenge of representation learning for cross-scale tracking in generalized scenarios. Specifically, we incorporate target scale directly into the positional encoding, indicating scale through relative pixel density rather than the conventional metric of image resolution. This scale-aware encoding is then integrated into the proposed asymptotic hierarchy of decoders, designed to reconstruct representations by emphasizing the restoration of high- and low-frequency features at large and tiny scales. The reconstruction process is guided by supervised learning using split losses, enabling the generation of robust cross-scale representations for generic objects. Extensive experiments on six benchmarks — GOT-10k, LaSOT, TrackingNet, DTB70, UAV123, and TNL2K — validate the superior performance of our method. Additionally, our tracker achieves a remarkable speed of 123 frames per second on a Graphics Processing Unit, surpassing the previous best autoencoder-based tracker. The code and raw results will be made publicly available at: https://***/pellab/DSC .

关键词： Autoencoder Cross-correlation Representation learning Siamese network Visual object tracking

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Event-triggered state estimation for T-S fuzzy affine systems based on piecewise Lyapunov-Krasovskii functionals

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control Theory and Technology 2019年第1期17卷 99-111页

作者： Meng WANG Jianbin QIU Gang FENG Department of Biomedical Engineering City University of Hong Kong Kowloon Hong Kong China State Key Laboratory of Robotics and Systems & Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin Heilongjiang 150080 China

This paper investigates the problem of event-triggered H∞state estimation for Takagi-Sugeno (T-S) fuzzy affine systems. The objective is to design an event-triggered scheme and an observer such that the resulting estimation error system is asymptotically stable with a prescribed H∞performance and at the same time unnecessary output measurement transmission can be reduced. First, an event-triggered scheme is proposed to determine whether the sampled measurements should be transmitted or not. The output measurements, which trigger the condition, are supposed to suffer a network-induced time-varying and bounded delay before arriving at the observer. Then, by adopting the input delay method, the estimation error system can be reformulated as a piecewise delay system. Based on the piecewise Lyapunov-Krasovskii functional and the Finsler's lemma, the event-triggered H∞observer design method is developed. Moreover, an algorithm is proposed to co-design the observer gains and the event-triggering parameters to guarantee that the estimation error system is asymptotically stable with a given disturbance attenuation level and the signal transmission rate is reduced as much as possible. Simulation studies are given to show the effectiveness of the proposed method.

关键词： Takagi-Sugeno (T-S) fuzzy affine systems event-triggered scheme, piecewise Lyapunov-Krasovskii functional, state estimation

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Optimal genetic representation of complete strictly-layered feedforward neural networks

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6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001

作者： Raptis, Spyros Tzafestas, Spyros Karagianni, Hermione Intelligent Robotics and Automation Laboratory Division of Signals Control and Robotics Department of Electrical and Electronic Engineering National Technical University of Athens Zographou Campus Athens15773 Greece

ISBN: (纸本)9783540422372

The automatic evolution of neural networks is both an attractive and a rewarding task. The connectivity matrix is the most common way of directly encoding a neural network for the purpose of genetic optimization. However, this representation presents several disadvantages mostly stemming from its inherent redundancy and its lack of robustness. We propose a novel representation scheme for encoding complete strictly-layered feedforward neural networks and prove that it is optimal in the sense that it utilizes the minimum possible number of bits. We argue that this scheme has a number of important advantages over the direct encoding of the connectivity matrix. It does not suffer from the curse of dimensionality, it allows only legal networks to be represented which relieves the genetic algorithm from a number of checking and rejections, and the mapping from the genotypes to phenotypes is one-to-one. Additionally, the resulting networks have a simpler structure assuring an easier learning phase. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Genetic algorithms

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Calculating Basis Siphons of Petri Nets Based on Semi-tensor Product of Matrices 35

Calculating Basis Siphons of Petri Nets Based on Semi-tensor...

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第35届中国控制会议

作者： HAN Xiaoguang CHEN Zengqiang LIU Zhongxin ZHANG Qing College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University College of Science Civil Aviation University of China

ISBN: (纸本)9781509009107

In this paper, we address the problem of calculating basis siphons in Petri nets(PNs) by resorting to the semi-tensor product(STP) of matrices. The proposed appraoch is based on our previous results on the calculation of siphons and minimal siphons in PNs, whose key notion is that of the siphon equation(SE) of PNs. First, we discuss the properties of the SE of PNs in the framework of STP. Second, an efficient recursion algorithm is proposed, which can be applied to computing all basis siphons for any PNs. Some results on the computational complexity of the proposed algorithm, in this paper, are also provided, as well as comparison with the existing approach. Last, an example is presented to illustrate the theoretical results. The proposed approach proved highly effective in calculating all basis siphons of PNs and only requires matrix manipulations.

关键词： Basis siphons Discrete event systems(DESs) Petri nets(PNs) Semi-tensor product(STP) of matrices Siphon equation(SE)

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Static output feedback stabilization of deterministic finite automata 36

Static output feedback stabilization of deterministic finite...

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第36届中国控制会议

作者： Zhang Zhipeng Chen Zengqiang Han Xiaoguang Liu Zhongxin College of Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Nankai University College of Science Civil Aviation University of China

ISBN: (纸本)9781538629185

In this paper, we investigate the static output feedback stabilization(SOFS) of deterministic finite automata(DFA) by using semi-tensor product(STP) theory. Firstly, the matrix expression of Moore-type automata with states, inputs and outputs is presented by using the algebraic equations. The feasible events matrix(FEM) is given in the matrix form by using STP theory and the transition-state adjacency matrix of DFA is presented through Boolean operation. Secondly, the concept of prereachability set and some corresponding properties are introduced, and then we obtain the necessary and sufficient conditions about the SOFS. In the end, an example is presented to illustrate the effectiveness of the results.

关键词： Discrete event dynamic systems Finite automata Static output feedback stabilization Semi-tensor product prereachability set

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A Position-Force control Approach for an Underwater Vehicle-Manipulator System

A Position-Force Control Approach for an Underwater Vehicle-...

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2023 International Conference on Ocean Studies, ICOS 2023

作者： Kabanov, Aleksey A. Dementiev, Kirill V. Sevastopol State University Department of Informatics and Control in Technical Systems Sevastopol Russia Sevastopol State University Robotics and Intelligent Control System Laboratory Sevastopol Russia

ISBN: (纸本)9798350382457

The paper proposes an approach to position-force control in the underwater vehicle-manipulator systems. There are two different strategies to realize position-force control systems: through a decoupled or coupled controller. The first one is more flexible and is used in the present article as a PID-controllers array. The paper considers the generalized system design methodology applicable to control objects of any kinematic structure. Compensation blocks for manipulator disturbances and calculation of additional end-effector offset to maintain a constant force on the operating point are proposed. The system also utilizes the desired underwater vehicle position calculation based on the relativity of the vehicle position and operating point for a heading set point. The modeling results showed that the system is able to perform qualitatively force operations in a given point of the working space. In addition, the graphs revealed the compensator unit efficiency and confirmed the necessity of the additional offset calculation unit. © 2023 IEEE.

关键词： Manipulators

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Effect of conducting polymers on nitrogen-doped multiwalled carbon nanotube for the detection of chemical warfare agent simulant

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Microchemical Journal 2025年

作者： Sanjeeb Lama Hyeong Seon Choi Sujina Tamang Sivalingam Ramesh Hee-Chan Jang Young Jun Lee Joo-Hyung Kim Laboratory of Intelligent Devices and Thermal Control Department of Mechanical Engineering Inha University Incheon 22212 South Korea Department of Biological Science and Bioengineering Inha University Incheon 22212 South Korea Department of Mechanical Robotics and Energy Engineering Dongguk University Seoul South Korea

Chemical warfare agents (CWAs) have inflicted significant harm to human lives, from World War I to present-day conflicts, including armed battles, terrorist incidents, and civil wars. To explore the possibility of early detection of CWAs to prevent loss of life, we developed various composite materials for sensing these agents using a hydrothermal process. The surface acoustic wave (SAW) sensor was employed as a detector for dimethyl methyl phosphonate (DMMP), a well-known simulant of the nerve agent sarin. Nitrogen doped multiwalled carbon nanotube (N-MWCNT) was used as a precursor, with polymers such as carboxymethyl cellulose (CMC), polyaniline (PANI), and polypyrrole (PPy) added to enhance sensitivity to DMMP concentrations ranging from 2 to 10 parts per million (ppm). The N-MWCNT@CMC composite demonstrated exceptional performance exhibiting frequency response (Δ f ) of ∼1212 Hz at a concentration of 10 ppm DMMP. The composite materials showed excellent sensitivity to DMMP with minimal effect of potential interferences during selectivity test. Specifically, the N-MWCNT@CMC showed excellent coefficients of determination ( R 2 ) of 0.990, with a limit of detection (LOD) of 1.33 ppm. In the relative humidity test from 30–70 %, the N-MWCNT@CMC exhibited the highest Δ f difference, measuring ∼137 Hz. However, it showed lowest Δ f difference of ∼16 % in temperature tests conducted from 25–75 °C. The Brunauer-Emmett-Teller (BET) results revealed that the addition of CMC to the N-MWCNT increased the pore size (adsorption = 36.9 nm, desorption = 40.0 nm) of the composite, which enhanced its sensitivity to DMMP during both adsorption and desorption. Based on these findings, it can be concluded that synthesized composites show potential as candidates for detecting the nerve agent sarin.

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6-DOF AUV Identification with MIMO-NARX

6-DOF AUV Identification with MIMO-NARX

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2023 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2023

作者： Kabanov, Aleksey A. Lipko, Ivan Y. Dementiev, Kirill V. Sevastopol State University Department of Informatics and Control in Technical Systems Sevastopol Russia Sevastopol State University Robotics and Intelligent Control System Laboratory Sevastopol Russia

ISBN: (纸本)9781665475952

This paper applies the MIMO NARX neural model to identify AUV with six degrees of freedom. Strongly nonlinear dependencies are modeled using a MIMO NARX model trained using «input-output» experimental data. This results in a grey box model with a partially known internal structure that can be supervised. This is achieved by specifying a certain regressors type, which is feedback to the model input. Obtained results show that the neural model trained by the Levenberg-Marquardt numerical algorithm provides acceptable performance and accuracy. Validation of the model was performed using data from full-scale experiments, which allowed to identify the weaknesses and advantages of the resulting system more accurately. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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A Piecewise-Markovian Lyapunov Approach to Reliable Output Feedback control for Fuzzy-Affine Systems With Time-Delays and Actuator Faults

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IEEE TRANSACTIONS ON CYBERNETICS 2018年第9期48卷 2723-2735页

作者： Wei, Yanling Qiu, Jianbin Shi, Peng Wu, Ligang State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China School of Electrical and Electronic Engineering University of Adelaide Adelaide SA Australia Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

This paper addresses the problem of delay-dependent robust and reliable H-infinity static output feedback (SOF) control for a class of uncertain discrete-time Takagi-Sugeno fuzzy-affine (FA) systems with time-varying delay and actuator faults in a singular system framework. The Markov chain is employed to describe the actuator faults behaviors. In particular, by utilizing a system augmentation approach, the conventional closed-loop system is converted into a singular FA system. By constructing a piecewise-Markovian Lyapunov-Krasovskii functional, a new H-infinity performance analysis criterion is then presented, where a novel summation inequality and S-procedure are succeedingly employed. Subsequently, thanks to the special structure of the singular system formulation, the piecewise-affine SOF controller design is proposed via a convex program. Lastly, illustrative examples are given to show the efficacy and less conservatism of the presented approach.

关键词： Piecewise Markovian Lyapunov functional reliable output feedback control time-varying delay T-S fuzzy-affine (FA) systems

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Probabilistic Punishment on Free Riders in Threshold Public Goods Games

Probabilistic Punishment on Free Riders in Threshold Public ...

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第三十四届中国控制会议

作者： ZHANG Chunyan LIU Zhongxin SUN Qinglin CHEN Zengqiang Department of Automation Computer and Control Engineering Nankai University Tianjin Key Laboratory of Intelligent Robotics Computer and Control Engineering Nankai University

ISBN: (纸本)9781467374439

We focus our attention on the effectiveness of punishing defectors in the evolution of cooperation in rational populations within the threshold public goods game models. We establish two scenarios: defectors will suffer possible punishment whether the game succeeds or not, and defectors will incur punishment only when game fails. A key observation of this paper is that given this assumption, punishing free riders can significantly influence the evolution outcomes, and the results are driven by the specific components of the punishing rule. Particularly, probably punishing defectors always, not only when game fails,can be more effective for maintaining public cooperation and leads to higher total contributions. Intriguingly when defectors face punishment only when game fails, the spread and domination of cooperators can not be ensured even by sufficiently large punishment, which already brings payoff advantages of defectors over cooperators. Further, cooperators are best supported by the large punishment on defectors, and then dominate and stabilize in the population, under the premise that defectors always incur punishment regardless of whether the game ends successfully or not. We hope this work provides some intriguing hints or insights on investigating the collective behaviors by the aid of punishment mechanism.

关键词： Cooperation,Evolutionary Game Theory,Public Goods Game

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