Article
Automation & Control Systems
Mingzheng Feng, Jianbo Su
Summary: This paper proposes a sparse mixed attention aggregation model for robust tracking based on visible and thermal infrared images. By designing a backbone network and a confidence aware aggregation network, the model achieves information extraction and integration while leveraging the complementary nature of visible and thermal information. Extensive experiments demonstrate that the proposed tracker outperforms other advanced trackers.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei, Yongxin Chen, Tryphon T. Georgiou
Summary: The recently developed stochastic control formalism allows for quantifying power output and efficiency of stochastic thermodynamic engines with time-varying temperature, and provides explicit bounds on power and efficiency.
Article
Automation & Control Systems
Mohammad Ahmadi, Seyed Hessameddin Zegordi
Summary: The rise of drone technology has provided a potential solution for last-mile logistics in e-commerce companies. This study presents a mathematical model for optimizing drone routing, considering factors such as wind patterns. A novel metaheuristic algorithm is developed to address the complexity of the problem.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Logan E. Beaver, Andreas A. Malikopoulos
Summary: In this paper, a new approach is proposed to solve optimal control problems for complex cyber-physical systems (CPS) with nonlinear dynamics. By exploiting the property of differential flatness, the Euler-Lagrange equations are simplified and the numerical instabilities are eliminated. An explicit differential equation is also derived to describe the optimal state trajectory.
Article
Automation & Control Systems
Shubham Singh, Anoop Jain
Summary: This paper proposes a distributed control design methodology to stabilize a desired formation shape in a multi-agent system while incorporating collision avoidance and connectivity preservation simultaneously. Time-varying constraints are applied to handle collision avoidance and connectivity preservation, and the concept of asymmetric time-varying barrier Lyapunov function is exploited to derive the stabilizing distributed control law.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Dheeraj Kodati, Chandra Mohan Dasari
Summary: This paper proposes a novel model for detecting negative emotions on social media during the COVID-19 period. By extracting relevant text and utilizing deep learning models, emotions such as abuse, anger, and anxiety can be accurately detected. The study also conducts a comparative analysis to explore the most dominant emotions on social media during the pandemic and non-pandemic periods.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Shengyang Lu, Yue Jiang, Xiaojun Xu, Hanxiang Qian, Weijie Zhang
Summary: This paper proposes an adaptive heading tracking control strategy based on wheelbase changes for unmanned ground vehicles (UGVs) with variable configuration. The strategy adjusts the wheelbase according to different working conditions to optimize driving performance. The impact of changing wheelbase on sideslip angle and heading angle is analyzed, and a robust-active disturbance rejection control method is developed to achieve desired front-wheel steering angle. A torque distribution method based on tire load rate and real-time load is applied to enhance longitudinal stability.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Pankaj Kakati, Tapan Senapati, Sarbast Moslem, Francesco Pilla
Summary: Public transportation systems play a crucial role in metropolitan areas, and this study proposes a novel multi-attribute decision-making method to optimize the public transport framework, with a particular emphasis on reducing fares.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Hong Son Hoang, Remy Baraille, Olivier Talagrand
Summary: This paper proposes an optimal filtering approach for state estimation in the presence of uncertainties in model error statistics. The approach, developed based on the important filter property of stability, ensures reliable performance in the presence of disturbances and exhibits high efficiency in adaptive filtering.
Article
Automation & Control Systems
Jiangyan Pu, Qi Zhang
Summary: This paper examines the continuous time intertemporal consumption and portfolio choice problems of an investor in a generalized stochastic differential utility preference of Epstein-Zin type with subjective beliefs and ambiguity. The paper provides closed-form optimal consumption and portfolio solutions with subjective beliefs and numerical solutions with ambiguity for the Heston model in an incomplete market.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Navjot Singh, Xuanyu Cao, Suhas Diggavi, Tamer Basar
Summary: This paper investigates a multi-agent network where each node has a stochastic cost function that depends on its decision variable and a random variable. The network aims to minimize an aggregate objective function composed of the expected values of the local cost functions, subject to pairwise constraints. The paper develops decentralized saddle-point algorithms and obtains performance bounds for two different models of local information availability at the nodes. The results show that compressed communication between neighbors does not affect the performance significantly.
Article
Automation & Control Systems
Wei Wei, Yongjie Shu, Jianfeng Liu, Linwei Dong, Leilei Jia, Jianfeng Wang, Yan Guo
Summary: In this paper, an innovative contour extraction method based on hierarchical features is proposed, which can effectively extract object contours from aerial images with complex backgrounds, improving the efficiency and accuracy of power inspections and promoting the automation level in power engineering.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Alejandro Toro-Ossaba, Juan C. Tejada, Santiago Rua, Juan David Nunez, Alejandro Pena
Summary: This work presents the development of a myoelectric Model Reference Adaptive Controller (MRAC) with an Adaptive Kalman Filter for controlling a cable driven soft elbow exoskeleton. The proposed MRAC controller is effective in both passive and active control modes, showing good adaptability and control capabilities.
CONTROL ENGINEERING PRACTICE
(2024)
Article
Automation & Control Systems
Alberto Jaenal, Jose-Raul Ruiz-Sarmiento, Javier Gonzalez-Jimenez
Summary: This paper presents a general deep learning architecture, MachNet, that addresses the heterogeneity of Industry 4.0-PdM solutions and is capable of handling various PdM problems. The modular architecture allows for an arbitrary number and type of sensors, and the integration of prior information. Experimental results show that MachNet achieves excellent performance in health state and remaining useful life estimation.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Yunfeng Zhang, Shukai Li, Yin Yuan, Jinlei Zhang, Lixing Yang
Summary: This paper proposes a nonlinear dynamic programming model for efficient metro train timetabling and passenger flow control strategy to alleviate passenger congestion, improve train service levels, and reduce energy consumption. By transforming the problem into a discrete Markov decision process and combining lookahead policy and linear parametric value function approximation, a novel approximate dynamic programming approach is designed. The effectiveness of this method is verified through numerical experiments.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Ky Quan Tran, Pham Huu Anh Ngoc
Summary: This paper investigates the exponential contraction in mean square of general functional differential equations with Markovian switching. Explicit criteria for such contraction are derived through a novel approach. An illustrative example is provided.
SYSTEMS & CONTROL LETTERS
(2024)
Article
Automation & Control Systems
Altaf Hussain, Samee Ullah Khan, Noman Khan, Mohammad Shabaz, Sung Wook Baik
Summary: The integration of artificial intelligence (AI) into human activity recognition (HAR) in smart surveillance systems has the potential to revolutionize behavior monitoring, improving security and surveillance measures. A proposed AI-based behavior biometrics framework is introduced, utilizing a dynamic attention fusion unit (DAFU) and temporal-spatial fusion (TSF) network to effectively recognize human activity in surveillance systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Kai Huang, Jun Chu, Lu Leng, Xingbo Dong
Summary: This study proposes a Transformer-based Siamese tracking architecture called TATrack, which integrated with deformable attention to focus on the relevant information about the target, thereby improving the performance of object tracking.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Ranran Wang, Fangyu Li, Aijun Yan
Summary: This paper proposes a method based on modular neural network and adaptive ensemble stochastic configuration network for accurately predicting nitrogen oxides emissions in municipal solid waste incineration. By decomposing the task, designing sub models, and selecting suitable model activation methods, the proposed method demonstrates good performance on two real datasets.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Jinliang Zhu, Yuanxi Sun, Jie Xiong, Yiyang Liu, Jia Zheng, Long Bai
Summary: This paper proposes an active prosthetic knee joint with a variable stiffness parallel elastic actuation mechanism. Numerical verifications and practical experiments demonstrate that the mechanism can reduce torque and power, thus reducing energy consumption and improving the endurance of the prosthetic knee joint.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2024)
