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Timing speculation has recently been proposed as a method for increasing performance beyond that achievable by conventional worst-case design techniques. Starting with the observation of fast temporal variations in timing error probabilities, we propose a run-time technique to dynamically determine the optimal degree of timing speculation (i.e., how aggressively the processor is over-clocked) based...
A novel piecewise model for pHEMTs with accurate Ids and its first three derivatives (gm, gm2 and gm3) is presented. The entire operating region is divided into several subregions. Aiming at improving the model accuracy in each subregion, the conventional Angelov models are developed with different optimized parameters. To solve the problem of the discontinuity between adjacent subregions, the artificial...
This paper presents an efficient multi-circuit optimization approach and its applications to the parameter identification of microwave filters. The approach is based on l1 norm optimization. It strives to force the modeled response to approximate measured response and at the same time minimize the difference of parameter values between different circuits. The proposed method can not only achieve an...
Nonlinear microwave device modeling is an important part of computer-aided design (CAD) and many papers have been published in the literature. This paper presents a review of neural network based techniques for nonlinear microwave device modeling including recurrent neural network (RNN), neuro-space mapping (Neuro-SM) and dynamic Neuro-SM techniques. Large-signal waveforms or DC, small-signal and...
Parallel computation is an efficient method for speeding up electromagnetic (EM) optimization. This paper reviews the recent advanced parallel EM optimization approaches to microwave circuits. Recent techniques are discussed in this paper which include parallel EM optimization with coarse models and parallel EM optimization without available coarse models. Using parallel techniques, multiple EM data...
Space mapping is a recognized method for speeding up electromagnetic (EM) optimization. This paper reviews the standard and advanced space mapping approaches to EM optimization. Recent advances in space mapping approaches are discussed in this paper such as parallel space mapping and cognition-driven formulation of space mapping. Microwave component examples are used to illustrate these advanced techniques.
Space mapping is a recognized method for speeding up electromagnetic (EM) optimization. This paper describes a neural space mapping optimization method. In this method, neural networks are used as mapping function instead of linear mapping function. The surrogate model developed in each iteration is trained to match the fine model at single point. Through training process, Neural networks can give...
A modified particle swarm optimization algorithm for conducting near-real-time parameter estimation of an electrical model for lithium batteries is presented. The model comprises a dynamic capacitance and a high-order resistor-capacitor network. The algorithm is evaluated on a hardware test bed with two samples of 3.3V, 40Ah, Lithium Iron Phosphate (LiFePO4) battery driven under six different loading...
Space mapping is an effective method for speeding up EM optimization. The method normally requires an equivalent circuit as the coarse model. This paper addresses the situation when an equivalent circuit coarse model is not available. We establish our coarse model using a lookup table to store the data of coarse mesh EM simulations and its derivatives, avoiding the EM re-simulations w.r.t. the same...
This paper describes recurrent neural network (RNN) technique for behavioral modeling of power amplifier (PA) with short and long term memory effects. RNN can be trained directly using the input-output data without the internal details of the circuit and the trained models can reflect the behavior of nonlinear circuit. Additional signals representing slow memory effects are extracted from the PA input...
Computing the derivatives of the scattering parameters of microwave devices with respect to shape and material parameters is a problem of significant interest in high-frequency computer-aided design. The pioneering work of Bandler, Monaco, Tiberio and others in the late 1960s and the early 1970s brought about the circuit-based sensitivity analysis of microwave networks. Here, we discuss some of the...
A new approach based on recursive polynomials for behavioral modeling of RF power amplifiers is presented. The orthogonal least squares algorithm is introduced for the identification of the structure of the recursive polynomial. It provides an efficient means for removing the unnecessary terms from the general recursive polynomial and guarantees the model so obtained as simple as possible. This modeling...
PSIM software is specialized for power electronics simulation tools. Fast and convenient is its key advantage. One-cycle control is a open-loop control strategy, in nonlinear fields has been widely used. Sensitive and rapid one-cycle control, the input changes, only one cycle can be achieved on the output tracking the input changes, the output varies with the input. In this article, by the principle...
This paper provides an overview of recent advances of neural network techniques for fast and parametric modeling of vias on the multilayered circuit packages. First, we review a space-mapping neural network technique for broadband and completely parametric modeling of vias. This technique exploits the merits of space-mapping technology and incorporates an equivalent circuit into the model structure...
Traffic congestion on highways has increased dramatically in the last two decades. As more and more cars are put on the road each year, traffic congestion is becoming more complex and unpredictable than ever before as people try to avoid it by changing their schedules and routes. IntelliDriveSM is a suite of technologies and applications that use wireless communications to provide connectivity that...
A 1.8-mW, 18.5-mm2 64-channel current readout ASIC was implemented in 0.18-μm CMOS together with a new calibration scheme for silicon nanowire biosensor arrays. The ASIC consists of 64 channels of dedicated readout and conditioning circuits which incorporate correlated double sampling scheme to reduce the effect of 1/f noise and offset from the analog front-end. The ASIC provides a 10-bit digital...
This paper provides an overview of neural network applications for high-speed electronic component modeling. Two neural network techniques, an electromagnetic (EM)-based neural modeling approach and a state-space dynamic neural network method, are presented. Accurate neural models are obtained to represent behaviors of EM component and nonlinear circuit. The neural models are used in signal integrity...
This paper presents an adjustment-based modeling framework for statistical static timing analysis (SSTA) when the dimension of parameter variability is high. Instead of building a complex model between the circuit timing and parameter variability, we build a model which adjusts an approximate variation-aware timing into an accurate one. The intuition is that it is simpler to build a model which adjusts...
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