Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
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Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
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Is Internet becoming a Major Contributor for Global warming - The Online Carbon Footprint
Volume-2 | Issue-4
Augmented Reality in Education
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A Study on Various Task-Work Allocation Algorithms in Swarm Robotics
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IoT based Biotelemetry for Smart Health Care Monitoring System
Volume-2 | Issue-3
Tungsten DiSulphide FBG Sensor for Temperature Monitoring in Float Glass Manufacturing
Volume-2 | Issue-4
GUI based Industrial Monitoring and Control System
Volume-3 | Issue-2
AUTOMATION USING IOT IN GREENHOUSE ENVIRONMENT
Volume-1 | Issue-1
Principle of 6G Wireless Networks: Vision, Challenges and Applications
Volume-3 | Issue-4
Classification of Remote Sensing Image Scenes Using Double Feature Extraction Hybrid Deep Learning Approach
Volume-3 | Issue-2
Light Weight CNN based Robust Image Watermarking Scheme for Security
Volume-3 | Issue-2
VIRTUAL REALITY GAMING TECHNOLOGY FOR MENTAL STIMULATION AND THERAPY
Volume-1 | Issue-1
Design of Digital Image Watermarking Technique with Two Stage Vector Extraction in Transform Domain
Volume-3 | Issue-3
Analysis of Natural Language Processing in the FinTech Models of Mid-21st Century
Volume-4 | Issue-3
PROGRESS AND PRECLUSION OF KNEE OSTEOARTHRITIS: A STUDY
Volume-3 | Issue-3
Image Augmentation based on GAN deep learning approach with Textual Content Descriptors
Volume-3 | Issue-3
Comparative Analysis for Personality Prediction by Digital Footprints in Social Media
Volume-3 | Issue-2
Volume - 2 | Issue - 1 | march 2020
Published
28 April, 2020
The speed regulation becomes an important necessity in the self-driving vehicles that are engaged in various driving chores. It prevails as a prominent area of research from the past decades, proportional, integral and the derivative controllers play significant role in regulating the movement velocity of the vehicles as perfect adjustments of the parameters linked with the controller could afford to provide a proper speed regulation. But the attaining a perfect adjustments in the parameters are highly tedious. To attain a proper speed regulation in the self-driving vehicles, the paper attempts to utilize the metaheuristics algorithms for optimizing the parameters and minimizing the errors associated with its attributes. A regulating function to fine tune the proportional derivative and the integral controller parameters is formulated in the proffered method and the proper adjustment is achieved utilizing the heuristic optimization. Triple algorithms, genetic (Ge-Al), memetics (Me-Al) and adaptive direct search based on mesh (M-ADS) is used in the proffered method to carry out the optimizations. The results on applying the proposed optimization techniques proves to be more accurate compared to the conventional optimization techniques that were employed in adjusting the absolute error that is integral and the minimizing oscillatory performances and the performance index.
KeywordsSelf-Driving Vehicles Metaheuristic Algorithms Speed Regulation Attribute Adjustment PID Controller
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