Nowadays, Heat exchanger systems are commonly employed in chemical plants due to their ability to maintain temperature and pressure within a broader range. The system transfers heat between two mediums while preventin...
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Cyber-physical systems (CPSs) are a kind of systems integrating cyber and physical components, which may be subject to physical uncertainty and cyber interference in the process of operation. In order to solve this pr...
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ISBN:
(纸本)9798350385731;9798350385724
Cyber-physical systems (CPSs) are a kind of systems integrating cyber and physical components, which may be subject to physical uncertainty and cyber interference in the process of operation. In order to solve this problem, a new control design method is proposed by studying the constrained following problem of controlled systems under physical uncertainty and cyber interference. The remarkable feature of this control is that both physical uncertainty and cyber interference are taken into account, which ensures that the controlled system can resist cyber interference while still meeting the expected constraints. In addition, the effectiveness and superiority of the proposed control method are verified by the simulation comparison with sliding mode control (smc) in the autonomous vehicle scenario.
Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/ieee 27th Internat...
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Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/ieee 27th internationalconference on Model-Driven engineering Languages and systems (MODELS 2024) and the 1st internationalconference on engineering Digital Twins (EDTconf 2024). The selected papers tackle critical challenges in improving system understanding, enhancing stakeholder communication, streamlining design and development processes, optimizing lifecycles, and enabling seamless integration of complex systems.
Marine accidents often result from errors in situation awareness (SA) among navigators. Despite the ongoing unmanned ship projects worldwide, the implementation of unmanned systems on many ships is expected to take a ...
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We have developed HEARTS, a dementia care training system using augmented reality based on Humanitude. Humanitude is a multimodal comprehensive care technique for dementia, and has attracted attention as a method to r...
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As robot surgery becomes more popular these days, it consequently solicits a high demand on its training system. Currently, most of the systems are intended for personal training, while it may be more effective if an ...
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Human activity prediction has become increasingly prevalent in a plethora of time-critical applications. To realize accurate identification and prediction of human behaviour, we propose a situation-aware wearable comp...
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This paper, presents the quadcopter's dynamic modeling using the Newton-Euler formalism and a sliding mode controller with backstepping (smcBS) to achieve stabilization of the quadcopter. In the paper uses a PSO (...
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ISBN:
(纸本)9798350370058;9798350370164
This paper, presents the quadcopter's dynamic modeling using the Newton-Euler formalism and a sliding mode controller with backstepping (smcBS) to achieve stabilization of the quadcopter. In the paper uses a PSO (Particle Swarm Optimization) technique to optimize the smc gains that objective is to enhance the tuning process and attain optimal outcomes. The evaluation measures, such as ITAE (Integral of Time multiplied by Absolute Error), IAE (Integral of Absolute Error), and ISE (Integral of Squared Error) provide evidence of the PSO algorithm's efficacy in stabilizing and monitoring the quadcopter's trajectory. The results show that the PSO-smcBS controller better performs under wind-disrupt environment in comparison to the smc and smcBS controllers.
作者：
Tang, HuiChen, YongSchool of Automation Engineering
University of Electronic Science and Technology of China Sichuan Province Engineering Technology Research Center for Electric Vehicle Driving System and Safety Sichuan Chengdu611731 China
In this study, we address the secure model predictive control (MPC) problem for a system comprising unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Our objective is to cooperatively regulate the U...
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Traffic accidents caused by elderly drivers have become major social problems. We investigated central and autonomic nervous system activities at obstacle events while operating a driving simulator with either normal ...
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