Memristors are often used to emulate neural synapses or to describe electromagnetic induction effects in neural networks. However, when these two things occur in one neuron concurrently, what dynamical behaviors could...
详细信息
Memristors are often used to emulate neural synapses or to describe electromagnetic induction effects in neural networks. However, when these two things occur in one neuron concurrently, what dynamical behaviors could be generated in the neural network? Up to now, it has not been comprehensively studied in the literature. To this end, this article constructs a new memristive Hopfield neural network (HNN) by simultaneously introducing two memristors into one Hopfield-type neuron, in which one memristor is employed to mimic an autapse of the neuron and the other memristor is utilized to describe the electromagnetic induction effect. Dynamical behaviors related to the two memristive systems are investigated. Research results show that the constructed memristive HNN can generate the Lorenz-like double-wing and four-wing butterfly attractors by changing the parameters of the first memristive system. Under the simultaneous influence of the two memristive systems, the memristive HNN can generate complex multibutterfly chaotic attractors, including multidouble-wing-butterfly attractors and multifour-wing-butterfly attractors, and the number of butterflies contained in an attractor can be freely controlled by adjusting the control parameter of the second memristive system. Moreover, by switching the initial state of the second memristive system, the multibutterfly memristive HNN exhibits initial-boosted coexisting double-wing and four-wing butterfly attractors. Undoubtedly, such diversified butterfly attractors make the proposed memristive HNN more suitable for the chaos-based engineering applications. Finally, based on the multibutterfly memristive HNN, a novel privacy protection scheme in the Internet of Medical Things is designed. Its effectiveness is demonstrated through the encryption tests and hardware experiments.
For an electrical system to function properly, active power reserves are needed to stabilize the frequency. Recent studies show that power utilities can convert variable wind power generation into dispatchable technol...
详细信息
With the rapid development of technology, the automotive industry is undergoing unprecedented changes. Among them, the braking system, as an important component of car safety, its technological progress is of great si...
详细信息
This article proposes a parameter design method based on natural frequency configuration, which enables the system to achieve approximately constant voltage output characteristics independent of load under the expecte...
详细信息
computer-aided technology is a subversive reform of the traditional English teaching mode based on modern electronic information technology. It plays an important role in improving students' learning interest and ...
详细信息
This work presents an in-depth investigation of the cryogenic applicability of a power amplifier (PA) from simulative and operative viewpoint. A method is introduced for gaining circuit simulation insight below the ty...
详细信息
ISBN:
(纸本)9798350348194;9798350348187
This work presents an in-depth investigation of the cryogenic applicability of a power amplifier (PA) from simulative and operative viewpoint. A method is introduced for gaining circuit simulation insight below the typical qualified Process design Kit's (PDK) temperature range down to 4.5K. Based on this performance-loss compensation at cryogenic temperature is discussed. The analysis is validated with measurements of a 13GHz PA for 171Yb+ qubit gate control at 4.5K and 300K respectively. The PA under test is intended for a microwave-driven trapped-ion-based qubit system and is fabricated in a 0.13 mu m SiGe BiCMOS process.
In this paper, the problem of precise control of single-stage inverted pendulum system is deeply discussed and practiced. The dynamic modeling and simulation of the inverted pendulum system were carried out in the cou...
详细信息
As embedded systems architectures become more complex and distributed, checking the safety of feedback control loops implemented on them becomes a crucial problem for emerging autonomous systems. Toward this, a number...
详细信息
As embedded systems architectures become more complex and distributed, checking the safety of feedback control loops implemented on them becomes a crucial problem for emerging autonomous systems. Toward this, a number of recent papers have addressed the problem of checking stability in the presence of deadline misses. In this article, we argue that analyzing quantitative properties like the maximum deviation in system behavior (trajectory in the state space) between an ideal implementation platform and that having timing uncertainties is an equally important problem. We show that different strategies for handling deadline misses (or system overruns), all of which lead to a stable system, might differ considerably when considering such quantitative safety properties. However, analyzing such properties involves reachability analysis that is computationally expensive and, hence, not scalable. We show that suitable approximation strategies can address this computational bottleneck and such quantitative safety properties can be checked for realistic systems. As a result, we are able to identify best combinations of control and deadline miss handling strategies for individual systems and timing uncertainties.
With the popularity of mobile devices, the mobile learning model has become a hot topic of concern and has been widely used. In this context, fused neural networks are of great significance as an emerging research fie...
详细信息
In this paper, we introduce multiple Reconfigurable Intelligent Surfaces (RISs) aided secure MIMO Dual-Function Radar-Communication (DFRC) system for enhanced dual-functionality performance. We aim to optimize the Sig...
详细信息
暂无评论