Design of the Fuzzy Control Systems Based on Genetic Algorithm for Intelligent Robots

Mester, Gyula

doi:10.7906/indecs.12.3.4

Cited by 9 publications

(6 citation statements)

References 7 publications

(7 reference statements)

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“…One way to increase system efficiency is to increase the efficiency of system management. The implementation of the system control includes the monitoring and event management of the system [19][20][21][22][23]. These activities are consistent with the process model of cybernetic loops.…”

Section: Introductionmentioning

confidence: 94%

Social Engineering—The Hidden Control

Budavári

Rajnai

2020

The 14th International Conference on Interdisciplinarity in Engineering—INTER-Eng 2020

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The former energy-wasting lifestyles of developed societies can no longer be sustained. In our age, efficiency is the key to continued sustainability. Increasing efficiency requires the use of infocommunication systems and their regulation. Regulatory modeling is based on the cybernetic loops model. The systems are not closed, so they are constantly suffering from environmental disturbances. External interference can also come from a human resource that covertly exploits the technological and psychic elements of the system to achieve its own goals. Social engineering is also such an intervention. The aims of the present study are to draw a parallel between cybernetic loops and social engineering, then to define social engineering on the cybernetic base.

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Section: Introductionmentioning

confidence: 94%

Social Engineering—The Hidden Control

Budavári

Rajnai

2020

The 14th International Conference on Interdisciplinarity in Engineering—INTER-Eng 2020

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“…The loop will be ongoing until it reaches the number of iterations or the GA is mature. A matured GA can improve fuzzy logic control by computing the optimal membership functions and fuzzy rules [43].…”

Section:  Genetic Algorithmmentioning

confidence: 99%

A Review of SCARA Robot Control System

Tay

Choong

Yoong

2022

2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

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In the era of industrial revolution 4.0 (IR4.0), robotics is a common automation tool to comply the repetitive and dangerous jobs for assisting the human workforce. Among the robotic arm, the SCARA robot is one of the well-established robots in the industry due to its high speed and high accuracy.To achieve good control at high speed, the controller is key to ensuring the SCARA robot at such a performance. This paper presents a brief review of the controllers and their pros and cons when applying to the SCARA robot. The reviewed controllers include PID Control, fuzzy logic control, neural networks control, sliding mode control, impedance control, adaptive control and robust control. Besides that, the review also covers the implementation of the Internet of Things (IoT) and artificial intelligence (AI) on the SCARA robot as the trend of IR 4.0.

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“…Gyula Mester [8] proposed optimizing the fuzzy logic controller based on GA to control the four degrees of freedom of SCARA robot. Where, the researcher designed a fuzzy joint-space controller depends on GA without requiring knowledge of the robot's parameter values or mathematical model.…”

Section: Intelligent Controllermentioning

confidence: 99%

A Review in Applications of Control Engineering Based on Genetic Algorithm

najm¹

2022

AJES

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The most popular evolutionary search techniques are genetic algorithms (GAs). Even though they are frequently used to solve control engineering problems, they are currently not a common tool in the control engineer's toolbox. This may be due in part to the fact that there are currently few general overviews of the employment of GAs for control engineering problems, and that they are often reported on at computer science conferences rather than conferences for control engineers. This review study is intended to assist researchers and practitioners in identifying prospective research issues, potential solutions, as well as advantages and disadvantages of each technique. This study gives a brief overview of contemporary a Genetic Algorithm (GA) in control systems. Additionally, offers a number of control techniques used with the GA that have undergone extensive research. The conclusion of this study listed in a table to show the effectiveness of GA in various control technique and which field didn't used till the time of preparing this review.

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Design of the Fuzzy Control Systems Based on Genetic Algorithm for Intelligent Robots

Cited by 9 publications

References 7 publications

Social Engineering—The Hidden Control

Social Engineering—The Hidden Control

A Review of SCARA Robot Control System

A Review in Applications of Control Engineering Based on Genetic Algorithm

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