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In this paper a novel combination of the "adaptive" and "optimal" control is suggested in which the main sources of the mathematical complexities, i.e. The application of cost functional in optimal control, and the use of Lyapunov's "Direct Method" in adaptive control are replaced by simple time-sharing and a Fixed Point Transformation based adaptive solution. To exemplify...
In this paper, a modified spiking neuron circuit (MSNC) with memory threshold is presented. The MSNC can store the potential of the threshold signal at the latest firing time as threshold under the control of pulse, implying the memory of threshold. We extend the definition of the least common multiple to obtain the iterative map of firing phase of the MSNC. By studying the iterative map of firing...
We propose to exploit a two-neurons Cellular Neural Network (CNN) to design a basic 1-bit Physically Unclonable Function (PUF). The analysis discussed in this work, derived from the general theory of CNNs, has been validated by experimental results.
In this paper we first present brief overview of the state of the art in mathematical modeling concepts and methodologies for circuits and systems design. Coupled FitzHugh-Nagumo neural system is studied. First we construct Cellular Nonlinear Network (CNN) discretized model of the system under consideration. For this model the edge of chaos domain of the parameter set is obtained. Stabilization of...
In this article a simple model of inertia neuron based on the ordinary differential equations of Hindmarsh-Rose model is shown. The fully analog circuit realization is presented. Operational amplifiers as an inverting integrator are used for integration of the differential equations. The function of the model is checked by varying of five bifurcation parameters. Simulations and measurements results...
A multiple faults test generation algorithm based neural networks for digital circuits is proposed in this paper because the test generation for multiple faults in digital circuits is more difficult. This algorithm change multiple faults into single fault firstly and constructs the constraint network of the fault for the single fault circuit with method of neural networks. The test vectors for multiple...
This paper presents design of the integrated chaotic neuron using 0.8 ??m single poly CMOS technology, its dynamical behavior analysis. Proposed chaotic neuron consists of several op-amps, sample and hold circuits, a nonlinear function block for chaotic signal generation, a two-phase clock circuits and sigmoid output function block. From HSPICE simulation results of the circuit, approximated empirical...
In this paper, we proposed a novel time delayed chaotic neural model, in which a piecewise linear (PWL) function is adopted as activation function. Chaos behavior of the neuron model is observed in computer simulations. An electronic implementation of the neuron is also considered. The dynamical behavior of the designed circuits is closely similar to the results simulated by numerical experiments.
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