Dynamic Modeling of a Nonlinear Two-Wheeled Robot Using Data-Driven Approach

Khan, Muhammad Aseer; Baig, Dur-e-Zehra; Ashraf, Bilal; Ali, Husan; Rashid, Junaid; Kim, Jung-Eun

doi:10.3390/pr10030524

Cited by 9 publications

(8 citation statements)

References 21 publications

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“…Framing and Making with QKD. Intended quantum key distribution/dissemination (QKD) necessitates transmission network links like a quantum-based channel and a regular public data channel [10,11]. e source and recipient together entail arbitrary originators from the C-bilinear cyclic group and a bunch of primitive and polarized qubits.…”

Section: Keymentioning

confidence: 99%

“…Many chaotic enciphered practices have been discussed in the existing literature as means of ensuring the privacy of users' information and validation progression [11]. In this procedure of chaotic encipherment, an elementary constraint of bivouac maps and charts is unified with a private key in directive to yield chaotic order with the assistance of frontward reiteration [12,13].…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

Singamaneni

Juneja²,

Abd‐Elnaby

et al. 2022

Security and Communication Networks

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Topics such as computational sources and cloud-based transmission and security of big data have turned out to be a major new domain of exploration due to the exponential evolution of cloud-based data and grid facilities. Various categories of cloud services have been utilized more and more widely across a variety of fields like military, army systems, medical databases, and more, in order to manage data storage and resource calculations. Attribute-based encipherment (ABE) is one of the more efficient algorithms that leads to better consignment and safety of information located within such cloud-based storage amenities. Many outmoded ABE practices are useful for smaller datasets to produce fixed-size cryptograms with restricted computational properties, in which their characteristics are measured as evidence and stagnant standards used to generate the key, encipherment, and decipherment means alike. To surmount the existing problems with such limited methods, in this work, a dynamic nonlinear poly randomized quantum hash system is applied to enhance the safety of cloud-based information. In the proposed work, users’ attributes are guaranteed with the help of a dynamic nonlinear poly randomized equation to initialize the chaotic key, encipherment, and decipherment. In this standard, structured and unstructured big data from clinical datasets are utilized as inputs. Real-time simulated outcomes demonstrate that the stated standard has superior exactness, achieving over 90% accuracy with respect to bit change and over 95% accuracy with respect to dynamic key generation, encipherment time, and decipherment time compared to existing models from the field and literature. Experimental results are demonstrated that the proposed cloud security standard has a good efficiency in terms of key generation, encoding, and decoding process than the conventional methods in a cloud computing environment.

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Section: Keymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

Singamaneni

Juneja²,

Abd‐Elnaby

et al. 2022

Security and Communication Networks

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“…In such a scenario, to keep track of faults and maintenance of all appliances or IoT devices in day care is added overhead. So, the health of smart devices in smart day care is as important as other vitals, which can be ensured by pro-fault detection [41,42].…”

Section: Proposed Approachmentioning

confidence: 99%

SWOT: A Hybrid Hardware-Based Approach for Robust Fault-Tolerant Framework in a Smart Day Care

Sharma¹,

Gupta

et al. 2022

Security and Communication Networks

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Internet of Things (IoT) has made its imprint on every part of the globe today. Offices, households, factories, industries, agriculture, and day cares, among other places, have all upgraded to their innovative version. It has propounded great potential in various real-world applications. The topical trends in the adoption of IoT have also highlighted the challenges associated with the performance of IoT devices. IoT devices require continuous monitoring for any performance degradation. A bibliometric analysis of 587 papers is undertaken on the Scopus database to spot the increasing interest of researchers in fault detection in IoT. A smart system’s or an IoT-based space’s usability, efficiency, and performance are all built on a fault-tolerant approach and interruption-free smooth operations. The investigation was carried out based on the literature to determine the need for a pro-fault detection system in an IoT-enabled day care. Kids’ security and safety are highly dependent on the hassle-free working of smart devices. It’s overhead to carry out device tracking manually along with demanding kids. This issue needs to be addressed to uphold the smart day care’s trustworthiness. A pro-fault detection approach can be applied to resolve the aforementioned issue to enhance the smart day care’s performance and efficiency. This paper proposes SWOT, a novel hybrid hardware-based approach in an IoT-based day care to safeguard the proper working of all IoT devices deployed. It screens every single appliance associated with a smart day care to detect the faulty appliance beforehand. The solution will assist the day care staff in providing the best care and security to their kids without any overhead. SWOT evaluation proved that it is an economical and efficient approach in detecting faults, accurately, swiftly, and with a low false alarm ratio.

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“…The following is a control system design using an algorithm with good stability analysis. Designing an adaptive fuzzy SMC is firstly written the switching function of the SMC as (7).…”

Section: Design Of Afsmc Algorithmmentioning

confidence: 99%

“…The control system algorithm is generally divided into three functions: line tracking control, balance and velocity control, and steering control [7]. The traditional SMC control algorithm is very popular to be applied to line tracking control because of its ability to reject disturbance control [8].…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy sliding mode controller for a single-stage inverted pendulum

Suprapto

Zakarijah

Muslikhin

2022

IJAAS

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Sliding mode controller (SMC) has become a popular traditional control method in industries due to the most effective control strategies employing nonlinear control and the ability to reject disturbances, particularly for line trajectory control. However, this control method has chattering problems due to high-frequency switching. To cope with the shortcoming, an artificial intelligence (AI) method is utilized in the traditional SMC to eliminate or reduce this chattering problem. This paper investigates an adaptive fuzzy logic system combined with SMC algorithm to alleviate the problem. Fuzzy logic is chosen due to its advantages in tackling nonlinear properties using if-then thinking, whereas SMC method can be applied due to its ability to reject disturbance control. The inverted pendulum is selected as a controlled object and simulated using MATLAB/Simulink to investigate this control method. By combining the fuzzy logic system and the SMC approach, the chattering problems can be adaptively reduced on the line trajectory tracking signal. The adaptive fuzzy SMC achieved better performance with fast response compared with previous literature algorithms for similar plants.

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Dynamic Modeling of a Nonlinear Two-Wheeled Robot Using Data-Driven Approach

Cited by 9 publications

References 21 publications

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

An Enhanced Dynamic Nonlinear Polynomial Integrity-Based QHCP-ABE Framework for Big Data Privacy and Security

SWOT: A Hybrid Hardware-Based Approach for Robust Fault-Tolerant Framework in a Smart Day Care

Adaptive fuzzy sliding mode controller for a single-stage inverted pendulum

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