Journal of Intelligent & Fuzzy Systems - Volume 34, issue 6

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