| Title | : | Simulation and Control of Chaotic Nonequilibrium Systems:With a Foreword by Julien Clinton Sprott (Advanced Series in Nonlinear Dynamics) |
| Author | : | William Graham Hoover |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 07, 2021 |
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Simulation and control of chaotic nonequilibrium systems, hardcover by hoover, william graham; hoover, carol griswold; sprott, julien clinton (frw), isbn 9814656828, isbn-13 9789814656825, brand new, free shipping in the us this book aims to provide a lively working knowledge of the thermodynamic control of microscopic simulations, while summarizing the historical development of the subject.
Impulsive control system is first investigated via comparison criterion. Then, a novel impulsive control scheme is presented for chaotic systems based on the t–s fuzzy model. Some sufficient conditions are given to stabilize the t–s fuzzy model.
Simulation and application of weak signal detection based on chaos theory ieee 2nd advanced information technology, electronic and automation control.
This book aims to provide a lively working knowledge of the thermodynamic control of microscopic.
The international journal of chaos, control, modelling and simulation is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of chaos theory, control systems, scientific modelling and computer simulation.
In order to control the chaotic system and reach the desired level of a healthy person's glucose, a novel fuzzy high-order sliding mode control method has been proposed. Thus, in the control algorithm of the high-order sliding mode controller, all of the control gains computed by the fuzzy inference system accurately.
Simulation and control of chaotic nonequilibrium systems (advanced series in nonlinear dynamics) by william graham hoover (2015-04-03) on amazon.
By aleksander janicki and aleksander weron; abstract: contents: preliminary remarks; brownian motion, poisson process, alpha-stable levy motion;.
Sufficient conditions for the asymptotic stability of the adaptive approach are derived. Numerical simulation results confirm the adaptive control approach with three.
The chua system is addressed suitable for chaotic synchronization circuits and chaotic masking communication circuits using matlab and multisim software. Simulation results are used to visualize and illustrate the effectiveness of chua chaotic system in synchronization and application of secure communication.
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Buy simulation and control of chaotic nonequilibrium systems: with a foreword by julien clinton sprott (advanced nonlinear dynamics) on amazon.
The dynamics of output voltage of boost converter exhibited period doubling route to chaos by increasing the feedback control gain of proportional controller in [38].
Momeni / mathematics and computers in simulation 80 (2010) 2245–2257. In recent years, several strategies to control and synchronize chaos.
Finally, in section 6, numerical simulations are carried out to authenticate the theoretical discussion.
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It is well known that when a state feedback control join into a three-dimension chaotic system, the original three-dimension chaotic systems achieve a steady state by changing the value of the control parameters at the same time the original system goes into a four-dimensional system.
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Conditions under which the chaotic systems can be asymptotically controlled to the origin by using impulsive control. Given the parameters of the chaotic system and the impulsive control law, an estimation of the upper bound of the impulse interval is given. We also present a theory of impulsive synchronization of two chaotic systems.
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7 and initial conditions used to stabilize and control nonlinear chaotic system.
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Computer simulations of partial differential equations are a main tool in the hands of as already mentioned, the control parameter to be varied is the driving.
The thesis describes theoretical and experimental studies on the chaotic behaviour of a peak current-mode controlled boost converter, a parallel two-module peak current-mode controlled dc-dc boost converter, and a peak current-mode controlled power factor correction (pfc) boost converter. The research concentrates on converters which do not have voltage control loops, since the main interest.
Numerical simulation has been carried out in matlab environment for performance evaluation of developed controllers.
Jan 13, 2021 this reveals that controlling small perturbation to chaotic system is also key factor to control optical chaos.
Chaotic behavior in nonlinear dynamical systems is very difficult to detect and control. Part of the problem is that mathematical results for chaos are difficult to use in many cases, and even if one could use them there is an underlying uncertainty in the accuracy of the numerical simulations of the dynamical systems.
The impacts of the synchronous control parameters, the initial value and delay time (range value) were analyzed in detail. The oscillator circuit of the new time-delay chaotic system was designed by using multisim software, electronic components were selected suitably by synchronization scheme.
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This research aims to discuss and control the chaotic behaviour of an autonomous fractional biological oscillator. Indeed, the concept of fractional calculus is used to include memory in the modelling formulation. In addition, we take into account a new auxiliary parameter in order to keep away from dimensional mismatching. Further, we explore the chaotic attractors of the considered model.
Simulation and control of chaotic nonequilibrium systems: with a foreword by julien clinton sprott.
Oct 29, 2019 chaos theory explains the behavior of dynamic systems like weather, which when he stopped and restarted his simulation, he ended up with.
In the case of dissipative systems described through nonlinear ordinary differential equations and exhibiting deterministic chaos, the system evolves in phase.
The results of simulation and experiment are derived, and the variable is the current of inductor. The accuracy of the model has been verified by the results of simulation and experiment which reveales the dc / dc converters from the bifurcation and eventually to the phenomenon of chaos.
Chaos may lead to instability, extreme sensitivity and performance reduction in dynamic systems. Due to these undesirable characteristics of chaos in practical systems, it is important to recognize such a chaotic behavior. In this paper the chaotic behavior of the airflow in case of an ordinary ventilated room is researched.
Adaptive feedback linearization control technique for chaos suppression in a chaotic system is proposed. The dynamics of the system is altered so that the closed loop model matches with a specified linear reference model. The controller parameters are assumed to be unknown and are evolved using an adaptation law that aims to drive these parameters towards their ideal values so as to achieve.
Mar 7, 2019 of interesting applications: control of chaos, prediction of chaotic systems, chaos in the solar system, and uses of chaos in music and dance.
The double pendulum undergoes chaotic motion, and shows a sensitive dependence on initial conditions. The image to the right shows the amount of elapsed time before the pendulum flips over, as a function of initial position when released at rest.
Numerical simulations are presented at each section 2 and 3, in order to verify the theorical analysis.
The control rules were based on the lyapunov stability theorem, simulation results proved that it can successfully control the system even with the presence of chaos. [12] also presented chaos control for a duffing system but this time using impulsive parametric perturbations.
Bedded in a chaotic attractor of the gumowski-mira map and it is shown by simulation that we learn a nonlinear state feedback controller by the proposed method. Introduction it is known that many unstable periodic orbits are embed-ded in chaotic attractors. Using this property, ott, grebogi, and yorke proposed an efficient chaos control.
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Mar 12, 1990 it is shown that one can convert a chaotic attractor to any one of a large number of possible attracting time-periodic motions by making only.
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