scholarly journals Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Ayad Al-Mahturi ◽  
Fendy Santoso ◽  
Matthew A. Garratt ◽  
Sreenatha G. Anavatti
Keyword(s):  
Flight Control ◽  
Fuzzy Systems ◽  
Aerial Robotics ◽  
Self Learning

Type-2 Fuzzy Interface for Artificial Neural Network

2010 ◽  
pp. 72-92 ◽  
Author(s):  
Priti Srinivas Sajja
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Fuzzy Systems ◽  
Selection Process ◽  
User Friendliness ◽  
Artificial Neural ◽  
Generalized Knowledge ◽  
Artificial Neural Network Ann ◽  
Self Learning

Artificial Neural Network (ANN) based systems are bio-inspired mechanisms for intelligent decision support with capabilities to learn generalized knowledge from the large amount of data and offers high degree of self-learning. However, the knowledge in such ANN system is stored in the generalized connection between neurons in implicit fashion, which does not help in providing proper explanation and reasoning to users of the system and results in low level of user friendliness. On the other hand, fuzzy systems are very user friendly, represent knowledge in highly readable form and provide friendly justification to users as knowledge is stored explicitly in the system. Type-2 fuzzy systems are one step ahead while computing with words in comparison to typical fuzzy systems. This chapter introduces a generic framework of type-2 fuzzy interface to an ANN system for course selection process. Resulting neuro-fuzzy system offers advantages of self-learning and implicit knowledge representation along with the utmost user friendliness and explicit justification.

scholarly journals Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Leticia Cervantes ◽  
Oscar Castillo ◽  
Denisse Hidalgo ◽  
Ricardo Martinez-Soto
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Flight Control ◽  
Fuzzy Systems ◽  
Performance Enhancement ◽  
Fuzzy Controller ◽  
Control Problems ◽  
Genetic Optimization ◽  
Two Parameters

We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm. The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm. In this case of study, we use fuzzy systems for adapting two parameters of the genetic algorithm to improve the design of a type 2 fuzzy controller and enhance its performance to achieve flight control. Finally, a statistical test is presented to prove the performance enhancement in the application using fuzzy adaptation in the genetic algorithm. It is important to mention that not only is this idea for control problems but also it can be used in pattern recognition and many different problems.

Realizing Interval Type-2 Fuzzy Systems with Type-1 Fuzzy Systems

2012 ◽  
pp. 412-427
Author(s):  
Mamta Khosla ◽  
R K Sarin ◽  
Moin Uddin ◽  
Satvir Singh ◽  
Arun Khosla
Keyword(s):  
Time Series ◽  
Fuzzy Logic ◽  
Mean Square Error ◽  
Fuzzy Systems ◽  
Mean Square ◽  
Fuzzy Logic Systems ◽  
Interval Type

In this chapter, the authors have realized Interval Type-2 Fuzzy Logic Systems (IT2 FLSs) with the average of two Type-1 Fuzzy Logic Systems (T1 FLSs). The authors have presented two case studies by applying this realization methodology on (i) an arbitrary system, where an IT2 FLS is considered, in which its footprint of uncertainty (FOU) is expressed using Principal T1 FS+FOU approach, and the second (ii) the Mackey-Glass time-series forecasting. In the second case study, T1 FLS is evolved using Particle Swarm Optimization (PSO) algorithm for the Mackey-Glass time-series data with added noise, and is then upgraded to IT2 FLS by adding FOU. Further, four experiments are conducted in this case study for four different noise levels. For each case study, a comparative study of the results of the average of two T1 FLSs and the corresponding IT2 FLS, obtained through computer simulations in MATLAB environment, is presented to demonstrate the effectiveness of the realization approach. Very low values of Mean Square Error (MSE) and Root Mean Square Error (RMSE) demonstrate that IT2 FLS performance is equivalent to the average of two T1 FLSs. This approach is helpful in the absence of the availability of development tools for T2 FLSs or because of complexity and difficulty in understanding T2 FLSs that makes the implementation difficult. It provides an easy route to the simulation/realization of IT2 FLSs and by following this approach, all existing tools/methodologies for the design, simulation and realization of T1 FLSs can be directly extended to T2 FLSs.

scholarly journals Event-Triggered Mixed Non-Fragile and Measurement Quantization Filtering Design for Interval Type-2 Fuzzy Systems

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 1533-1545
Author(s):  
Chunsong Han ◽  
Dingding Song ◽  
Guangtao Ran ◽  
Jiafeng Yu
Keyword(s):  
Fuzzy Systems ◽  
Interval Type ◽  
Event Triggered

scholarly journals Building on Strategic eLearning Initiatives of Hybrid Graduate Education a Case Study Approach: MHEI-ME Erasmus+ Project

2021 ◽  
Vol 13 (14) ◽  
pp. 7675
Author(s):  
Radovan Madleňák ◽  
Stephen P. D’Alessandro ◽  
Agostino Marengo ◽  
Jenny Pange ◽  
György Iván Neszmélyi
Keyword(s):  
Collaborative Learning ◽  
Online Community ◽  
Flipped Classroom ◽  
Teaching Method ◽  
Teaching Methodology ◽  
Case Study Approach ◽  
Study Approach ◽  
Strategic Commitment ◽  
Self Learning

Online courses are gaining popularity because they provide extensive and varied course material, information, knowledge, and skills, whilst also creating an effective educational online community. This research adopts a case study approach to focus on the teaching method and the manner in which a strategic commitment to eLearning provides scope for the development and implementation of top quality educational online fully accredited programs. Entrepreneurship focuses on developing businesses that add value and create wealth and prosperity in our societies. Therefore, entrepreneurship is a key area of learning for graduate students seeking to set up and operate their own SME organizations. It can serve as a benchmark for the teaching of other graduate subjects that require a sound correlation for the correlation of concepts and theories to the challenging complexities of the real world. The program was developed on the basis of the implementation of a state-of-the-art eLearning platform that allowed for a combination of varied self-learning and collaborative learning elements and activities within a single platform. This enabled students to access the online content material efficiently and effectively. It allows for the development of a program based on the flipped classroom teaching methodology. The underlying concept of the flipped classroom methodology is that effective eLearning should comprise both synchronous and asynchronous learning activities. This combination of self-learning and collaborative learning calls for careful planning by the tutor to ensure that the learning objectives are clearly defined for each activity and that the relevant deliverables are monitored. The content material for each subject course module was designed, developed, produced, and presented by the different project partners in a holistic manner structured to motivate participants to learn. The results of our analysis have shown that students were able to learn, discuss their projects, and cooperate during an online course in an effective and participant-focused manner with their tutors. The feedback given highlights the importance of ongoing communications between students and the tutors who often need to act as mentors to retain student engagement.

Lung transplantation for silicosis and recovery: an Australian case study

2021 ◽  
Vol 30 (3) ◽  
pp. 178-183
Author(s):  
Kate McEwen ◽  
Lyndell Brodie
Keyword(s):  
Lung Transplantation ◽  
Medication Management ◽  
Social Situation ◽  
Bilateral Lung Transplantation ◽  
Transplantation Surgery ◽  
Australian Case ◽  
Bilateral Lung ◽  
End Stage

Lung transplantation is a well-established treatment for a variety of end-stage pulmonary diseases. However, the journey of a lung transplant recipient is complex and multifaceted. Silicosis is a rare indication for lung transplantation, but no other treatment is yet available for this disease in its end stages. This Australian case study presents a 52-year-old man with silicosis who received bilateral lung transplantation. The patient was frequently noncompliant with noninvasive ventilation therapy and experienced the complication of type 2 respiratory failure. Patient education and support provided, particularly around medication management following transplantation surgery, are discussed here. The patient's social situation and its implications for both him and his family are also considered.

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