Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm

Melín, Patricia; Astudillo, Leslie; Castillo, Oscar; Valdez, Fevrier; García, Miquel Barceló

doi:10.1016/j.eswa.2012.12.032

Cited by 125 publications

(39 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Step 6: Post process and visualize results. Melin et al (2013) applied CRA to solve the tracking control problem, specially for the dynamic model of a unicycle mobile robot. Simulation results showed that CRA outperforms the results previously obtained from GA.…”

Section: Fundamentals Of Chemical Reaction Algorithmmentioning

confidence: 99%

“…Chemical reaction algorithm (CRA) was recently proposed in Melin et al (2013). In CRA, each element (or compound) is viewed as a solution.…”

Section: Fundamentals Of Chemical Reaction Algorithmmentioning

confidence: 99%

“…As a result, it is a very straight forward methodology that only takes the basic characterises of chemical reactions (i.e., synthesis, decomposition, single-substitution, and double-substitution) into account to find the optimal solutions. The main steps of CRA can be described as follows (Melin et al 2013):…”

Section: Fundamentals Of Chemical Reaction Algorithmmentioning

confidence: 99%

See 2 more Smart Citations

Emerging Chemistry-based CI Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

View full text Add to dashboard Cite

In this chapter, a set of emerging chemistry-based computational intelligence (CI) algorithms are introduced. We first, in Sect. 26.1, describe the organizational structure of this chapter. Then, from Sect. 26.2 to Sect. 26.5, each section is dedicated to a specific algorithm which falls within this category. The fundamentals of each algorithm and their corresponding performances compared with other CI algorithms can be found in each associated section. Finally, the conclusions drawn in Sect. 26.6 closes this chapter.

show abstract

Section: Fundamentals Of Chemical Reaction Algorithmmentioning

confidence: 99%

“…Chemical reaction algorithm (CRA) was recently proposed in Melin et al (2013). In CRA, each element (or compound) is viewed as a solution.…”

Section: Fundamentals Of Chemical Reaction Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Emerging Chemistry-based CI Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

View full text Add to dashboard Cite

show abstract

“…The main goal of this controller is to follow a reference trajectory, based on the model of a unicycle mobile robot [31], which is composed of two drive wheels located on the same axis and a front free wheel that is used only for stability. The graphical representation of this model can be found in Figure 10.…”

Section: Mobile Robot Controllermentioning

confidence: 99%

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm

2017

Self Cite

View full text Add to dashboard Cite

This article focuses on the dynamic parameter adaptation in the harmony search algorithm using Type-1 and interval Type-2 fuzzy logic. In particular, this work focuses on the adaptation of the parameters of the original harmony search algorithm. At present there are several types of algorithms that can solve complex real-world problems with uncertainty management. In this case the proposed method is in charge of optimizing the membership functions of three benchmark control problems (water tank, shower, and mobile robot). The main goal is to find the best parameters for the membership functions in the controller to follow a desired trajectory. Noise experiments are performed to test the efficacy of the method.

show abstract

“…However, type-2 fuzzy logic systems give better results in many areas. They have been applied to many different applications such as identification of nonlinear systems [16][17][18][19][20][21], control [22,23], time series prediction [24], system modeling [20,25,26], stock price prediction [27] and control of mobile robots [28,29]. In [30], a review of type-2 fuzzy logic applications is presented for pattern recognition.…”

Section: Introductionmentioning

confidence: 99%

Type-2 Fuzzy Multiplication Wavelet Neural Network Model Design for Classification of Breast Cancer

Gündüz

2018

ijarcs

View full text Add to dashboard Cite

Breast cancer is one of the most common types of cancer. For this reason, it is very important to diagnose breast cancer. In this paper, a type-2 fuzzy multiplication wavelet neural network model is proposed to classify the Wisconsin Breast Cancer dataset. In this model, Shannon wavelet function is used as the type-2 membership function and the multiplication of the Shannon wavelet functions is used in the conclusion part of the rules. The results of proposed model is compared with type-1 fuzzy multiplication wavelet neural network, multilayer perceptron network, radial basis function network, Bayesian network learning, and decision tree algorithm. It can be seen that proposed type-2 fuzzy multiplication wavelet neural network model gives the best results among these algorithms.

show abstract

Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm

Cited by 125 publications

References 19 publications

Emerging Chemistry-based CI Algorithms

Emerging Chemistry-based CI Algorithms

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm

Type-2 Fuzzy Multiplication Wavelet Neural Network Model Design for Classification of Breast Cancer

Contact Info

Product

Resources

About