Speeding Up Cellular Neural Network Processing Ability by Embodying Memristors

Bilotta, Eleonora; Pantano, Pietro; Vena, Stefano

doi:10.1109/tnnls.2015.2511818

Cited by 36 publications

(12 citation statements)

References 30 publications

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“…Using traditional design methods, the new class of designers are unable to produce and examine a large number of variants of the object, and they cannot guarantee the performance criteria implemented in the original design. The new graphical and computational computer technologies have permit to develop design tools that allows to explore and find a larger number of solution in design subspace of optimum results [29]. A creative optimization method is shown in this paper, employing a multi-objective optimization engine called Octopus.…”

Section: Introductionmentioning

confidence: 99%

The development and application of an optimization tool in industrial design

Demarco

Bertacchini

Scuro

et al. 2020

Int J Interact Des Manuf

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Designers are identified, in industry 4.0, as the professional figures that have to design well performing new object. In order to do this, it is necessary to take into account a series of properties called design objectives. Often the structural problem of new design is underestimated or even not considered. This can be a real problem because this objective is in competitive and in contrast with other design objectives. So, this can bring to substantial change in a design in the final phase and sometimes to the complete change. In this paper is presented an optimization workflow that adopt a Multi Objective Optimization engine so called “Octopus” and Karamba3D, that is a Finite Elements (FE) plug-in, typically used in structural simulations, these extensions run in a software: Grassopper3D, that is a parametric design tool. The workflow allows designers to explore a large range of solutions and at the same time permits to filter and sort the optimized models in order to analyze the tradeoff of the resultant solution space, both qualitatively and quantitatively. In such way designers can obtain easily a lot of information of the generate design and identify potential solution for immediate use or for further optimization. In this paper is analyzed a design problem of an ergonomic chair in order to provide the efficiency of the workflow. The design criteria and the structural problem for this type of design object are identified as the main optimization objectives in order to iteratively improve the design solutions.

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Section: Introductionmentioning

confidence: 99%

The development and application of an optimization tool in industrial design

Demarco

Bertacchini

Scuro

et al. 2020

Int J Interact Des Manuf

View full text Add to dashboard Cite

show abstract

“…It now has been successfully applied to many scientific fields [2,4 -10]. CNNs are efficient tools for image analysis and pattern recognition [11]. Based on elementary cells connected to neighboring units, they are easy to install in hardware, carrying out massively parallel processes.…”

Section: Introductionmentioning

confidence: 99%

Anti-windup compensation design for a class of distributed time-delayed cellular neural networks

He¹,

Zha²,

Bian³

2019

Jsee

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Both time-delays and anti-windup (AW) problems are conventional problems in system design, which are scarcely discussed in cellular neural networks (CNNs). This paper discusses stabilization for a class of distributed time-delayed CNNs with input saturation. Based on the Lyapunov theory and the Schur complement principle, a bilinear matrix inequality (BMI) criterion is designed to stabilize the system with input saturation. By matrix congruent transformation, the BMI control criterion can be changed into linear matrix inequality (LMI) criterion, then it can be easily solved by the computer. It is a one-step AW strategy that the feedback compensator and the AW compensator can be determined simultaneously. The attraction domain and its optimization are also discussed. The structure of CNNs with both constant timedelays and distribute time-delays is more general. This method is simple and systematic, allowing dealing with a large class of such systems whose excitation satisfies the Lipschitz condition. The simulation results verify the effectiveness and feasibility of the proposed method.

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“…It is worth mentioning that the concept of CNN and memristor were successively put forward by Chua. Recently, the research achievements of memristive CNNs have been widely applied in many science research fields, such as secret communication, machine learning, image processing, behaviour learning, artificial intelligence and industrial control, and so on [21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Construction of flux‐controlled memristor and circuit simulation based on smooth cellular neural networks module

Zhang

Jiang

2018

IET Circuits, Devices & Systems

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A new-type four-dimensional cellular neural network (CNN) is designed, whose piecewise linear function is replaced by smooth continuous function as CNN output module, theoretical analysis proves the new system has chaotic characteristics. By adding two cells, this study generates flux-controlled memristor and creates a brand new six-dimensional memristive CNNs. With the purpose of verifying the validity of this scheme, universal electronic components are adopted to build a memristive module and apply them to the integrity circuit of this system. Multisim circuit simulation software shows that this memristive module has the characteristic of the hysteresis loop as well, and circuit output curves are approximately in agreement with those of MATLAB numerical calculation results within the range of the permitted errors. Finally, via analyses of phase trajectories, equilibrium points, bifurcation diagrams, Lyapunov exponents, and dimension, this study demonstrates that this new type memristive CNNs possesses more abundant dynamic characteristics.

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Speeding Up Cellular Neural Network Processing Ability by Embodying Memristors

Cited by 36 publications

References 30 publications

The development and application of an optimization tool in industrial design

The development and application of an optimization tool in industrial design

Anti-windup compensation design for a class of distributed time-delayed cellular neural networks

Construction of flux‐controlled memristor and circuit simulation based on smooth cellular neural networks module

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