Discrete-Time Feedback for Chaos Control and Synchronization

Now a discrete-time approach to feedback controller is discussed to control a particular system which describes a friction phenomenon. This system is used to introduce some features of the discrete time controller for chaos control. The friction system comprises some interesting dynamical properties, e.g., an invariant manifold characterized by zero velocity and velocity direction. Such properties allow a practical justification of the feedback design, which yields control of the measured state and its time derivative. The mechanical justification and the feedback design allow us to introduce the synergetic interpretation. Here the self-organization of a simple dynamical system is discussed from the understanding of the effect of control parameters acting over mechanical systems. The control parameter is yielded by the so-called controller. The controller is a feedback scheme from a finite-differences approximation. Such justification leads us to develop a chaos suppression scheme. The main idea is to counteract the nonlinear forces acting onto (or into) the systems and compensates the external perturbation forces acting over the nonlinear systems. The goal is to compute an estimate value of the uncertain force in such way that nonlinear systems can be controlled. This is, the synergetics of the second-order driven oscillators is studied from the point of view of the control theory. In principle, the finite-difference is able to achieve chaos control and synchronization. In addition, we shall see that a discrete time approach feedback attains synchronization against master/slave mismatches. Indeed, the procedure yields synchronization of strictly different oscillators. In this sense, it is said that controller is robust. This means that self-organization of this class of oscillators can be achieved in spite of master/slave mismatches (even if oscillators are strictly different). We belief that synergetics is due to feedback structure into the nonlinear system.

[1]  Lima,et al.  Suppression of chaos by resonant parametric perturbations. , 1990, Physical review. A, Atomic, molecular, and optical physics.

[2]  Choy Heng Lai,et al.  On the synchronization of different chaotic oscillators , 2000 .

[3]  Ricardo Femat,et al.  Synchronization of a class of strictly different chaotic oscillators , 1997 .

[4]  Ljupco Kocarev,et al.  A unifying definition of synchronization for dynamical systems. , 1998, Chaos.

[5]  B. Armstrong-Hélouvry Stick slip and control in low-speed motion , 1993, IEEE Trans. Autom. Control..

[6]  R. Femat,et al.  On the chaos synchronization phenomena , 1999 .

[7]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

[8]  Brian Armstrong-Hélouvry,et al.  Control of machines with friction , 1991, The Kluwer international series in engineering and computer science.

[9]  Leon O. Chua,et al.  ON ADAPTIVE SYNCHRONIZATION AND CONTROL OF NONLINEAR DYNAMICAL SYSTEMS , 1996 .

[10]  Ramón Huerta,et al.  Clusters of synchronization and bistability in lattices of chaotic neurons , 1998 .

[11]  Ricardo Femat,et al.  A strategy to control chaos in nonlinear driven oscillators with least prior knowledge , 1997 .

[12]  Alvarez-Ramírez,et al.  Control of systems with friction. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  Chaotic levitated motion of a magnet supported by superconductor , 1994 .

[14]  Guanrong Chen,et al.  On feedback control of chaotic continuous-time systems , 1993 .

[15]  Louis M. Pecora,et al.  Synchronizing chaotic circuits , 1991 .

[16]  J. Álvarez-Ramírez,et al.  State estimation for a class of nonlinear oscillators with chaotic attractor , 1995 .

[17]  Kevin M. Short,et al.  Steps Toward Unmasking Secure Communications , 1994 .

[18]  H. Khalil,et al.  Output feedback stabilization of fully linearizable systems , 1992 .

[19]  Ricardo Femat,et al.  LAPLACE DOMAIN CONTROLLERS FOR CHAOS CONTROL , 1999 .

[20]  F C Hoppensteadt,et al.  Phase clustering and transition to phase synchronization in a large number of coupled nonlinear oscillators. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  L. Chua,et al.  Synchronization in an array of linearly coupled dynamical systems , 1995 .

[22]  Stephen Wiggins,et al.  Global Bifurcations and Chaos , 1988 .

[23]  Ricardo Femat,et al.  A discrete approach to the control and synchronization of a class of chaotic oscillators , 1999 .

[24]  K. Pyragas,et al.  Transmission of Signals via Synchronization of Chaotic Time-Delay Systems , 1998 .

[25]  W. Cheney,et al.  Numerical analysis: mathematics of scientific computing (2nd ed) , 1991 .

[26]  Carroll,et al.  Synchronization in chaotic systems. , 1990, Physical review letters.

[27]  R. Femat A control scheme for the motion of a magnet supported by type-II superconductor , 1998 .

[28]  M. Bernardo An adaptive approach to the control and synchronization of continuous-time chaotic systems , 1996 .

[29]  Numerical approach to nonlinear control design , 1996 .

[30]  S. Bowong Stability analysis for the synchronization of chaotic systems with different order: application to secure communications , 2004 .

[31]  T. Kapitaniak,et al.  MONOTONE SYNCHRONIZATION OF CHAOS , 1996 .

[32]  Henk Nijmeijer,et al.  An observer looks at synchronization , 1997 .

[33]  David Vlack,et al.  Robust Control , 1987 .

[34]  Closed-loop suppression of chaos in nonlinear driven oscillators , 1995 .

[35]  Shoichiro Nakamura Numerical Analysis and Graphics Visualization With Matlab , 1995 .

[36]  Ricardo Femat,et al.  A time delay coordinates strategy to control a class of chaotic oscillators , 1996 .

[37]  Tom T. Hartley,et al.  Adaptive estimation and synchronization of chaotic systems , 1991 .

[38]  N. Rulkov,et al.  Robustness of Synchronized Chaotic Oscillations , 1997 .

[39]  H. Nijmeijer,et al.  On Lyapunov control of the Duffing equation , 1995 .

[40]  S. Mascolo,et al.  Nonlinear observer design to synchronize hyperchaotic systems via a scalar signal , 1997 .

[41]  Peter A. Tass,et al.  Synchronized oscillations in the visual cortex — a synergetic model , 2004, Biological Cybernetics.

[42]  Chen Shi-Gang,et al.  GENERAL METHOD OF SYNCHRONIZATION , 1997 .

[43]  Boccaletti,et al.  Integral behavior for localized synchronization in nonidentical extended systems , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[44]  N. Kopell,et al.  Dynamics of two mutually coupled slow inhibitory neurons , 1998 .

[45]  Chen Shi-Gang,et al.  Directing nonlinear dynamic systems to any desired orbit , 1997 .

[46]  Terrence J. Sejnowski,et al.  Cooperative behavior of a chain of synaptically coupled chaotic neurons , 1998 .

[47]  Carlos Canudas de Wit,et al.  Adaptive Friction Compensation in Robot Manipulators: Low Velocities , 1991, Int. J. Robotics Res..