Controlling a Time-Varying Unified Chaotic System via Interval Type 2 Fuzzy Sliding-Mode Technique

In this paper, a decoupled interval type-2 fuzzy sliding-mode controller (IT2FSMC) is proposed for controlling a time-varying unified chaotic system. This technique, a fusion of the interval type-2 fuzzy logic control (IT2FLC) method and the sliding-mode control (SMC) method, inherits the benefits of both methods. In the sense of Lyapunov stability, the objective of the proposed controller is to assure the system approaching to the asymptotic stability of the closed-loop controlled system. The simulations include regulating the states of a time-varying unified chaotic system to the origin and tracking a predefined orbit extracted from the unforced Chen's chaotic system. The simulation results, from the viewpoint of the integral of the absolute error (IAE), the integral of time multiplied by the absolute error (ITAE), and the integral of square error (ISE), demonstrate that the IT2FSMC can achieve better control performance in comparison with that of the conventional fuzzy sliding-mode control (FSMC).

[1]  Lotfi A. Zadeh,et al.  The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[2]  V. Utkin Variable structure systems with sliding modes , 1977 .

[3]  C. Sparrow The Lorenz Equations: Bifurcations, Chaos, and Strange Attractors , 1982 .

[4]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[5]  N. N. Karnik,et al.  Introduction to type-2 fuzzy logic systems , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[6]  Guanrong Chen,et al.  YET ANOTHER CHAOTIC ATTRACTOR , 1999 .

[7]  Jerry M. Mendel,et al.  Interval type-2 fuzzy logic systems , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).

[8]  Guanrong Chen,et al.  Effective chaotic orbit tracker: a prediction-based digital redesign approach , 2000 .

[9]  J. Mendel Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions , 2001 .

[10]  Daizhan Cheng,et al.  Bridge the Gap between the Lorenz System and the Chen System , 2002, Int. J. Bifurc. Chaos.

[11]  Jerry M. Mendel,et al.  Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..

[12]  Jerry M. Mendel,et al.  Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems , 2002, IEEE Trans. Fuzzy Syst..

[13]  Jinhu Lu,et al.  A New Chaotic Attractor Coined , 2002, Int. J. Bifurc. Chaos.

[14]  H. Agiza,et al.  Controlling and Synchronization of Rossler System with Uncertain Parameters , 2004 .

[15]  Yen-Sheng Chen,et al.  Nonlinear Dynamics and Chaos Control for a Time Delay Duffing System , 2005 .

[16]  Samuel Bowong,et al.  A New Adaptive Chaos Synchronization Principle for a Class of Chaotic Systems , 2005 .

[17]  Ming-Chung Ho,et al.  Synchronization between two Chaotic Systems with Different Order by Using Active Control , 2005 .

[18]  Ju H. Park Adaptive Synchronization of a Unified Chaotic System with an Uncertain Parameter , 2005 .

[19]  S. Chen,et al.  Controlling Chen Hyperchaotic System , 2006 .

[20]  Bifurcation and Chaos in a Macroeconomic Model , 2006 .

[21]  A New Nonlinear Chaotic System , 2006 .

[22]  Mohammad Saleh Tavazoei,et al.  Determination of active sliding mode controller parameters in synchronizing different chaotic systems , 2007 .

[23]  Her-Terng Yau,et al.  Design of Extended Backstepping Sliding Mode Controller for Uncertain Chaotic Systems , 2007 .

[24]  Jianliang Tang,et al.  Synchronization between Two Different Hyperchaotic Systems , 2007 .

[25]  Chao-Lin Kuo Design of an Adaptive Fuzzy Sliding-Mode Controller for Chaos Synchronization , 2007 .

[26]  Z. Ge,et al.  Chaos and Chaos Control for a Two-Degree-of-Freedom Heavy Symmetric Gyroscope , 2007 .

[27]  Tzuu-Hseng S. Li,et al.  Design of interval type-2 fuzzy sliding-mode controller , 2008, Inf. Sci..