The proceedings contain 30 papers. The topics discussed include: a software framework of roadside units for traffic condition perception and broadcast;Easta : energy-aware scheduling for timely applications on intermi...
ISBN:
(纸本)9781450393980
The proceedings contain 30 papers. The topics discussed include: a software framework of roadside units for traffic condition perception and broadcast;Easta : energy-aware scheduling for timely applications on intermittent systems;knowledge distillation-based privacy-preserving data analysis;deep learning-based defect detection on livestock operations;deep reinforcement learning based secondary user transmit power control for underlay cognitive radio networks;a dynamic mutation particle swarm optimization algorithm;architectural languages in the microservice era: a systematic mapping study;Lore: a learning-based approach for workflow scheduling in clouds;sentence embedding based emotion recognition from text data;on-device federated learning with fuzzy logic based client selection;end-to-end image captioning based on reduced feature maps of deep learners pre-trained for object detection;and visualizing architectural evolution via provenance tracking: a systematic review.
作者:
Zhu, WenxingWang, LihuiSoutheast Univ
Sch Instrument Sci & Engn Key Lab Microinertial Instruments & Adv Nav Techno Nanjing Peoples R China Southeast Univ
Sch Instrument Sci & Engn Key Lab Microinertial Instruments & Adv Nav Techno Nanjing 210096 Peoples R China
The problem of adaptive finite-time fault-tolerant control with smooth event-triggered mechanism is addressed for quadrotor trajectory tracking systems. In light of recent studies on fault-tolerant control in the fiel...
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The problem of adaptive finite-time fault-tolerant control with smooth event-triggered mechanism is addressed for quadrotor trajectory tracking systems. In light of recent studies on fault-tolerant control in the field of nonlinear systems, this article focuses on quadrotor trajectory tracking systems with actuator faults and disturbances. Different from the previous works, an ingenious smooth event-triggered mechanism is proposed to circumvent the discontinuous triggered signal and alleviate the communication burden simultaneously, which is of great significance to increase the operation life of the quadrotor. Subsequently, the finite-time performance function is designed to guarantee the prescribed tracking performance. Furthermore, a novel finite-time convergentadaptive fault-tolerant controller is proposed via the time-varying barrier Lyapunov function technique. The radial basis function neural networks are utilized to deal with the nonlinear approximation, and the adaptive laws are developed to accurately estimate the unknown model uncertainty, thus effectively handling the challenge of the controller design caused by the actuator faults and disturbances. Under the developed adaptive fault-tolerant controller, all the closed-loop system signals are bounded and the tracking errors are convergent within finite time. Meanwhile, the Zone behavior can be excluded by the positive sampling intervals. Finally, two examples are employed to verify the effectiveness and advantages of the suggested control scheme.
To reduce CO2 emissions and tackle increasing fuel costs, the aviation industry is swiftly moving towards the electrification of aircraft. From the viewpoint of systems and control, a key challenge brought by this tra...
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ISBN:
(纸本)9798350382662;9798350382655
To reduce CO2 emissions and tackle increasing fuel costs, the aviation industry is swiftly moving towards the electrification of aircraft. From the viewpoint of systems and control, a key challenge brought by this transition corresponds to the management and safe operation of the propulsion system's onboard electrical power distribution network. In this work, for a series-hybrid-electric propulsion system, we propose a distributed adaptive controller for regulating the voltage of a DC bus that energizes the electricity-based propulsion system. The proposed controller-whose design is based on principles of back-stepping, adaptive, and passivity-based control techniques-also enables the proportional sharing of the electric load among multiple converter-interfaced sources, which reduces the likelihood of over-stressing individual sources. Compared to existing control strategies, our method ensures stable, convergent, and accurate voltage regulation and load sharing even if the effects of power lines of unknown resistances are considered. The performance of the proposed control scheme is illustrated via numerical simulations of an exemplary propulsion architecture.
In order to improve tracking performance of a class of linear discrete time-invariant multi-agent systems, an adaptive optimal iterative learning control strategy is designed. To design the control protocol, a paramet...
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Collaborative multi-actuator systems represent a promising avenue for the development of visionary applications such as robotics, medical appliances, and advanced user interfaces. Among various technologies, Dielectri...
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ISBN:
(纸本)9780791888322
Collaborative multi-actuator systems represent a promising avenue for the development of visionary applications such as robotics, medical appliances, and advanced user interfaces. Among various technologies, Dielectric Elastomer (DE) transducers exhibit synergistic properties conducive to cooperative systems. The same material can fulfill different tasks, such as actuation, sensing, or energy harvesting. Combining multiple DE actuators and DE switches can enable similar soft structures to implement basic logic and storage functions. In this paper, we present a mathematical model for a DE transducer network capable of complex actuation tasks. Drawing from our research on DE sensors and actuators, we have developed a model that integrates DE components to simulate multi-actuator networks. Multiple DE switches are interconnected through logic unit designs to achieve complex electro-mechanical behaviors. We predict the multiple outputs of a single input pulse voltage for a highly integrated inverter system through simulation. It opens more possibilities in the application field of cooperative multi-actuator systems.
As digital platforms continue to gain momentum, there is a pressing need for a better conceptualization of the ways these generative systems emerge through a deliberate, ongoing design. This design, we claim, is very ...
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ISBN:
(纸本)9780998133171
As digital platforms continue to gain momentum, there is a pressing need for a better conceptualization of the ways these generative systems emerge through a deliberate, ongoing design. This design, we claim, is very different from more traditional approaches to Information systems (IS) design with pre-defined requirements and the known end-goal. Instead, digital platforms are continuingly emerging, in response to changes in their organizational and wider contexts, through mutually shaping co-evolution. Focusing on a lesser-explored research area of internal digital platforms, in this paper we describe a case study of a novel digital platform designed through deliberate design and emergence. Based on our research findings, observed through the lens of the Complex adaptivesystems theory, we propose a set of design principles for designing digital platforms as generative systems and discuss their practical implications
In this paper we explore the dynamics of the sequence of Kasner polygons (A(n)(1) A(n)(2)... A(n)(k))(n >= 0) situated in the plane, defined for a complex parameter alpha, and find the parameter values ensuring tha...
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In this paper we explore the dynamics of the sequence of Kasner polygons (A(n)(1) A(n)(2)... A(n)(k))(n >= 0) situated in the plane, defined for a complex parameter alpha, and find the parameter values ensuring that the iterations are convergent, periodic or divergent. The results generalize and extend previous research on Kasner triangles and quadrilaterals with a fixed real parameter, where it was found that iterations were convergent if and only if 0 < alpha < 1, that is polygons in the sequence are nested.
To address the challenges posed by restricted waters, uncertain model parameters, and strong environmental disturbances such as wind and currents during the harbor navigation of underactuated ships, this paper introdu...
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The proceedings contain 41 papers. The topics discussed include: improve the performance of parallel reduction on general-purpose graphics processor units using prediction models;multi-stream-aware DRAM allocation str...
ISBN:
(纸本)9798400702280
The proceedings contain 41 papers. The topics discussed include: improve the performance of parallel reduction on general-purpose graphics processor units using prediction models;multi-stream-aware DRAM allocation strategy inside solid-state drives (SSDs);towards scalable quantum circuit simulation via RDMA;incremental hibernation for baseboard management controllers;multiple time-sensitive inferences scheduling on energy-harvesting IoT devices;architectural design on hypervisor-based guest OSs and SafetyRTOS in automotive platform;integration of digital twin and federated learning for securing vehicular Internet of Things;application integrity assurance system: using blockchain for securing application package integrity;UAS integration safety and security technology ontology;SecCo: automated services to secure containers in the DevOps paradigm;and experimental analysis of handover process in cell free networks.
Using steady-state traveling waves as a propulsion mechanism emerges as a highly effective strategy for displacing particles, eliminating the need for an external fluid transfer pump. This experimental inquiry delves ...
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ISBN:
(纸本)9780791888322
Using steady-state traveling waves as a propulsion mechanism emerges as a highly effective strategy for displacing particles, eliminating the need for an external fluid transfer pump. This experimental inquiry delves into the intricate application of traveling waves within a beam submerged in quiescent water, deploying two distinctive force input methods to govern particle movement acoustically. The complexity of this research lies in balancing the finesse of particle motion while concurrently imposing constraints on the number of control cycles implemented. To address this challenge comprehensively, we introduce a diverse range of control cycles tailored to manipulate particles of varying sizes. Navigating the nuanced dynamics of this system requires a sophisticated approach, prompting the adoption of the Reinforcement Learning Approach. This methodological choice empowers us to discern the characteristics of traveling waves necessary for facilitating the movement of particles with divergent sizes. The utilization of Reinforcement Learning not only refines our understanding of the intricate interplay between waves and particles but also enhances our ability to optimize control strategies in this particular context. The significance of this research extends beyond the confines of the laboratory, resonating in various applications, with particular prominence in advancing transportation mechanisms for cells and analogous entities. By elucidating the underlying principles governing the interaction between traveling waves and particles of different sizes, the findings offer invaluable insights that can be harnessed to optimize particle manipulation techniques. This holds potential implications in biotechnology, where the precision control of particle movement is pivotal for applications ranging from targeted drug delivery to the manipulation of biological cells. Furthermore, our exploration not only contributes to the theoretical understanding of particle manipulation t
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