Tiny Cyber-Physical Systems for Performance Improvement in the Factory of the Future

Bonci, Andrea; Pirani, Massimiliano; Longhi, Sauro

doi:10.1109/tii.2018.2855747

Cited by 28 publications

(19 citation statements)

References 23 publications

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“…The formulas of section 3 have been used in particular to implement a distributed and autonomic computing system for the improvement of industrial processes (Bonci, 2018a). The monitoring and computing units, seen as holons, can be spread across the process in the form of a network of tiny computing CPS actors (Bonci, 2018d).…”

Section: Discussion On Implementation Details and Future Workmentioning

confidence: 99%

“…In Figure 2, a flow chart is provided to express the performance improvement process, of which an implementation detail on distributed automations can be found in Bonci (2018a). The process and the flow of Figure 2 is performed top-down and bottom-up for every node of the systems' tree: Top-down processing achieves the recursive analysis of the system's bottlenecks; bottom-up is the effects of the physical actions that can be implemented only on the leaves of the tree, but which amount and effect on the whole tree can be previewed.…”

Section: Basics On the Performance Improvement Methodologymentioning

confidence: 99%

“…If corrective action, adoption of a good technique, or correction of an error, is not handled in a timely manner from that level, the alert is quickly escalated. In the HMT vision, algedonic alerts are alarms and rewards (bad or good performance indications) that escalate through the levels of the HMT recursion, thanks to the sifting nature of the performance bottleneck detection (Bonci, 2018a). This mechanism is linked typically to a timeout trigger, which can be simply implemented, for example, by sensing a fast decreasing of the Peff (defined in the previous section) that is linked to a speed of achievement of a goal or task.…”

Section: Holonic Methods In Viable Systemsmentioning

confidence: 99%

“…This is particularly valuable in situations in which both the modeling and the computational means are very limited due to time, space, technology, and costs. Actually, this methodology was born in a context where very tiny, but numerous, components are to constitute a relevant part of an evolving cyber-physical system (Pirani, 2016;Bonci, 2018a).…”

Section: C3mentioning

confidence: 99%

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Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Bonci¹,

Longhi²,

Pirani³

2019

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This paper presents the detailed definition of technique for the automation of the management of complex business systems, whether they are constituted of services and productions. The technique has been referred here for the first time as Holonic Management Tree (HMT) and has been consistently contextualized into undergoing research on technological frameworks for the management cybernetics, in which the concept of viable system represents a fundamental stance. HMT is based on the use of recursive formulas over self-similar holonic structures for the attainment of continuous performance improvement in a complex and continuously evolving process. The problem is associated to a recursive tree of self-similar structures of which in this paper we discuss the interpretation with respect to knowledge modeling domain. The basic expressions for the computation of the 2nd degree trees are provided and explained in detail by means of an example in lean management context. Moreover, this work presents and discusses the expressions that handle the implementation of the n-th degree case as a recurrent abstraction of the basic and simple 2nd degree computation.

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Section: Discussion On Implementation Details and Future Workmentioning

confidence: 99%

Section: Basics On the Performance Improvement Methodologymentioning

confidence: 99%

Section: Holonic Methods In Viable Systemsmentioning

confidence: 99%

Section: C3mentioning

confidence: 99%

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Holonic Management Tree Technique for Performance Improvement Over Self-Similar System Structures

Bonci¹,

Longhi²,

Pirani³

2019

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“…UGVs are the vehicles that operate while in contact with the ground and without a human presence on board. How to feed back the effective information collected from the real battlefield to the simulation space and how to enable the benefits of future paradigms, such as the Cyber-Physical Systems (CPSs) and digital twin, are big challenges for unmanned combat [4][5][6][7]. In this paper, we employ the UGV as the experimental subject to specify our contributions in implementing digital twins in unmanned combat.…”

Section: Introductionmentioning

confidence: 99%

Digital Twin‐Enabled Online Battlefield Learning with Random Finite Sets

Wang

Mei

Zhu

et al. 2021

Computational Intelligence and Neuroscience

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The digital twin is becoming the most promising emerging technology in the field of unmanned combat and has the potential to innovate future combat styles. Online battlefield learning is one of the key technologies for supporting the successful application of digital twin in unmanned combat. Since there is an urgent need for effective algorithms for online learning the battlefield states in real time, a new random finite set- (RFS-) based algorithm is proposed in the presence of detection uncertainty including clutters, missed detection, and noises. The system architecture and operational mode for implementing the digital twin-enabled online battlefield learning are provided. The unmanned ground vehicle (UGV) is employed as the experimental subject for systematically describing the proposed algorithm. The system architecture for implementing the digital twin-enabled online battlefield learning is firstly given, and its operational mode is also described in detail. The RFS-based digital twin models including the battlefield state model, UGV motion model, and sensor model are designed. The Bayesian inference is adopted, and the probability hypothesis density (PHD) filter is modified to implement the online learning process. At last, a group of experiments are conducted to verify the performance and effectiveness of the proposed algorithm. The research work in this paper will provide a good demonstration of the application of digital twin in unmanned combat.

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