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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Mallem, Ali | Slimane, Noureddine | Benaziza, Walid
Article Type: Research Article
Abstract: In this paper a dynamic tracking control of mobile robot using neural network global fast sliding mode (NN-GFSM) is presented. The proposed strategy combines two control approaches, kinematic control and dynamic control. The laws of kinematic control are based on GFSM in order to determine the adequate velocities for the system stability in finite time. The dynamic controller combines two control techniques, the GFSM to stabilize the velocities errors, and a neural network controller in order to approximate a nonlinear function and to deal the disturbances. This dynamic controller allows the robots to follow the desired trajectory even in …the presence of disturbances. The designed controller is dynamically simulated by using Matlab/ Simulink and the simulations results show the efficiency and robustness of the proposed control strategy. Show more
Keywords: Kinematic model, dynamic model, RBF neural network, sliding mode, tracking control, Lyapunov stability
DOI: 10.3233/JIFS-17864
Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4345-4354, 2018
Authors: Shahdoosti, Hamid Reza | Salehi, Mohammad
Article Type: Research Article
Abstract: This paper presents a novel transform based watermarking approach using the ridgelet transform for image decomposition. This method embeds the watermark into the Fourier amplitudes of the ridgelet coefficients of the host image. The embedding weights are calculated such that the perceptual transparency is maintained and the robustness against different attacks is guaranteed. The proposed method forms a trade off function considering the similarity between the coefficients of watermarked image and those of the original image, and robustness against different attacks. The ridgelet coefficients of the watermarked image can be obtained by the minimization of this function. Experimental results demonstrate …that the newly proposed method performs well in terms of perceptual transparency, and outperforms several state of the art schemes in terms of robustness against common image processing operations and most of the geometric attacks. Show more
Keywords: Image watermarking, trade off function, perceptual transparency, Frobenius norm
DOI: 10.3233/JIFS-17951
Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4355-4366, 2018
Authors: Guo, Xiaobin | Li, Zhouzhou | Yan, Rongfang
Article Type: Research Article
Abstract: In paper a general complex fuzzy matrix equation Z ˜ C = W ˜ in which C is a n × p complex matrix and W ˜ is a m × p complex LR fuzzy numbers one, is investigated. A numerical procedure for calculating the solution is designed in detail and a sufficient condition for the existence of strong complex LR fuzzy solution is derived. Some examples are given to illustrate the proposed method.
Keywords: Complex fuzzy numbers, matrix analysis, complex fuzzy matrix systems, fuzzy approximate solutions
DOI: 10.3233/JIFS-17963
Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4367-4375, 2018
Authors: Shao, Songtao | Zhang, Xiaohong | Bo, Chunxin | Park, Choonkil
Article Type: Research Article
Abstract: This paper introduced the notions of rough filters, multi-granulation rough filters, and rough fuzzy filters in pseudo-BCI algebras and investigated some properties. First, a congruence relation was structured by a filter on pseudo-BCI algebra. Then rough filters and rough fuzzy filters were investigated. Next, the relationships between upper (lower) rough filters and upper (lower) approximations of their fuzzy homomorphic images were discussed. Furthermore, original rough filter model was extended to a multi-granulation rough filter model, where the set approximations were defined by using multi congruence relations on pseudo-BCI algebra.
Keywords: Pseudo-BCI algebra, rough set, fuzzy set, multi-granulation rough set
DOI: 10.3233/JIFS-18144
Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4377-4386, 2018
Authors: Zhang, Hongyang | Ban, Xiaojun | Wu, Fen
Article Type: Research Article
Abstract: The novel fuzzy parameter varying system is proposed to deal with nonlinear time-varying models. It has the advantages of the T-S fuzzy system and the linear parameter varying system. It provides a new idea for solving nonlinear time-varying control problem. In this paper, some sufficient conditions are provided to guarantee the globally asymptotically stable of the equilibrium and to synthesize a T-S state feedback control law which can stabilize the closed loop fuzzy parameter varying system. Numerical simulations verify the effectiveness of our results.
Keywords: T-S fuzzy system, linear parameter varying system, fuzzy parameter varying system, nonlinear time-varying system
DOI: 10.3233/JIFS-18190
Citation: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 6, pp. 4387-4395, 2018
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