A new intelligent hardware implementation based on field programmable gate array for chaotic systems

Tuntaş, Remzi

doi:10.1016/j.asoc.2015.06.039

Cited by 14 publications

(4 citation statements)

References 34 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FPGA-based circuit implementation has the advantages in both hardware and software, which is reliable, flexible and has the advantage of fast response, rapid prototyping, adaptation, reduced cost or simplicity of design for the programmable architecture. [39,40] Field programmable analog arrays (FPAA) also provide such a workbench for circuit realization, in particular it is more convenient to design the analog chaotic circuits. Therefore recently FPAA has become more and more popular, and it has been used in many areas, such as system modeling, signal processing, fault-tolerant, and computing feature extraction.…”

Section: Fpaa-based Circuit Implementationmentioning

confidence: 99%

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

Thio

Sprott

et al. 2017

Chinese Phys. B

View full text Add to dashboard Cite

Although chaotic signals are considered to have great potential applications in radar and communication engineering, their broadband spectrum makes it difficult to design an applicable amplifier or an attenuator for amplitude conditioning. Moreover, the transformation between a unipolar signal and a bipolar signal is often required. In this paper, a more intelligent hardware implementation based on field programmable analog array (FPAA) is constructed for chaotic systems with complete amplitude control. Firstly, two chaotic systems with complete amplitude control are introduced, one of which has the property of offset boosting with total amplitude control, while the other has offset boosting and a parameter for partial control. Both cases can achieve complete amplitude control including amplitude rescaling and offset boosting. Secondly, linear synchronization is established based on the special structure of chaotic system. Finally, experimental circuits are constructed on an FPAA where the predicted amplitude control is realized through only two independent configurable analog module (CAM) gain values.

show abstract

Section: Fpaa-based Circuit Implementationmentioning

confidence: 99%

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

Thio

Sprott

et al. 2017

Chinese Phys. B

View full text Add to dashboard Cite

show abstract

“…Chaos has attracted great interest since it has potential value in science and technology [1][2][3][4][5][6]. Chaotic oscillations (including other nonchaotic oscillations) can be found by a standard computational procedure when a set of initial data from a small neighborhood of the unstable equilibrium is applied since the corresponding oscillations or attractors are self-excited [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A unique jerk system with hidden chaotic oscillation

Zheng

et al. 2016

Nonlinear Dyn

View full text Add to dashboard Cite

An equilibrium-free piecewise linear jerk system is obtained by a signum operation based on the Sprott R system, which gives hidden oscillation of large basin of attraction. The new proposed chaotic system has a unique structure with an independent parameter for partial amplitude control, which experimentally can be realized in the circuit by a capacitor as well as a rheostat. Interestingly, the hidden attractor can be found easily in our designed jerk circuit, and it appears smoothly for the betrayal of inherent electronic noise even without any equipment for setting initial states. The amplitude controller in the hidden attractor depends on a

show abstract

“…There have been plenty of methods to overcome this problem including the average dwell time method (Tanaka and Wang, 2001), the barrier Lyapunov function method (Pomet and Praly, 1992), the Lyapunov function method (Khalil, 1996) and so on (Chen and Zhang, 2007). For neuronal observers, it is possible and preferable to employ other dynamic uncertainty approximation techniques in the process model such as the two-layer expert system, whose wavelet decomposition and adaptive neuro-fuzzy inference system (ANFIS) were proved by Tuntas (2014) and Tuntas (2015). Accordingly, we predict to develop the results of this article to overcome the following research stumbling blocks.…”

Section: Introductionmentioning

confidence: 99%

Robust H_∞ gain neuro-adaptive observer design for nonlinear uncertain systems

Krifa¹,

Bouzrara²

2018

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

To guarantee convergent state estimates and exact approximations, it is highly desirable that observers can independently dominate the effects of unmodelled dynamics. Based on adaptive nonlinear approximation, this paper presents a robust H∞ gain neuro-adaptive observer (RH∞GNAO) design methodology for a large class of uncertain nonlinear systems in the presence of time-varying unknown parameters with bounded external disturbances on the state vector and on the output of the original system. The proposed RH∞GNAO incorporates radial basis function neural networks (RBFNNs) to approximate the unknown nonlinearities in the uncertain system. The weight dynamics of every RBFNN are adjusted online by using an adaptive projection algorithm. The asymptotic convergence of the state and parameter estimation errors is achieved by using Lyapunov cogitation under a well-defined persistent excitation condition, and without recourse to the strictly positive real condition. The repercussions of unknown disturbances are reduced by integrating an H∞ gain performance criterion into the proposed estimation approach. The condition imposed by this proposed observer approach, such that all estimated signals are uniformly ultimately bounded, is expressed in the form of the linear matrix inequality problem and warrants the demanded performances. To evaluate the performance of the proposed observer, various simulations are presented.

show abstract

A new intelligent hardware implementation based on field programmable gate array for chaotic systems

Cited by 14 publications

References 34 publications

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

A unique jerk system with hidden chaotic oscillation

Robust H_∞ gain neuro-adaptive observer design for nonlinear uncertain systems

Contact Info

Product

Resources

About

A new intelligent hardware implementation based on field programmable gate array for chaotic systems

Cited by 14 publications

References 34 publications

Linear synchronization and circuit implementation of chaotic system with complete amplitude control*

Linear synchronization and circuit implementation of chaotic system with complete amplitude control*

A unique jerk system with hidden chaotic oscillation

Robust H∞ gain neuro-adaptive observer design for nonlinear uncertain systems

Contact Info

Product

Resources

About

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

Linear synchronization and circuit implementation of chaotic system with complete amplitude control^*

Robust H_∞ gain neuro-adaptive observer design for nonlinear uncertain systems