In this paper, we propose a set of ring oscillators (ROs) to estimate D2D variation of MOS threshold voltage and gate length. First, we show a design guideline on designing ROs with enhanced process sensitivities. We propose a set of ROs for process parameter estimation. We then develop an estimation method using a linear model to extract the variations from the measured frequencies. Simulation...

This paper describes a statistical method that helps to find good parameter settings for evolutionary algorithms. The method builds a functional relationship between the algorithm’s performance and its parameter values. This relationship—a statistical model—can be identified thanks to simulation data. Estimation and test procedures are used to evaluate the effect of parameter variation. In addi...

In this paper, the main idea is to compute the robust regression model, derived by experimentation, in order to achieve a model with minimum effects of outliers and fixed variation among different experimental runs. Both outliers and nonequality of residual variation can affect the response surface parameter estimation. The common way to estimate the regression model coefficients is the ordinar...

1. Detailed criteria for priming and tolerance in the Metropolis searching algorithm. 2. Two-stage Metropolis search for parameter sets that exhibit priming or tolerance. 3. Statistical method used to identify backbone motifs. 4. Motif density is more robust than frequency to variation in the topological cut-off. 5. 2D parameter correlations demonstrate how parameter compensation affects topolo...

This paper presents a speed sensorless direct torque control scheme using space vector modulation (DTC-SVM) for permanent magnet synchronous motor (PMSM) drive based a Model Reference Adaptive System (MRAS) algorithm and stator resistance estimator. The MRAS is utilized to estimate speed and stator resistance and compensate the effects of parameter variation on stator resistance, which makes fl...

Induction motor is most frequently used electric machine in various applications due to its well known advantages. The method of vector control help achieve high performance from an induction motor but performance deteriorates due to variation of its parameters. In this paper improved version of Particle Swarm Optimization i.e. Systematic Mutation based Particle Swarm Optimization, SMPSO is use...

the current paper focuses on some analytical techniques to solve the non-linear duffing oscillator with large nonlinearity. four different methods have been applied for solution of the equation of motion; the variational iteration method, he’s parameter expanding method, parameterized perturbation method, and the homotopy perturbation method. the results reveal that approximation obtained by th...