Predicting Analog Circuit Performance Based on Importance of Uncertainties

2010 ◽  
Vol E93-C (6) ◽  
pp. 893-904
Author(s):  
Jin SUN ◽  
Kiran POTLURI ◽  
Janet M. WANG
Keyword(s):  
Analog Circuit ◽  
Circuit Performance

scholarly journals New Strategy for Analog Circuit Performance Evaluation under Disturbance and Fault Value

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Aihua Zhang ◽  
Yongchao Wang ◽  
Chen Chen ◽  
Hamid Reza Karimi
Keyword(s):  
Performance Evaluation ◽  
Support Vector Regression ◽  
Analog Circuit ◽  
Support Vector ◽  
Training Set ◽  
Circuit Performance ◽  
New Strategy ◽  
Indirect Evaluation ◽  
Novel Strategy ◽  
Fuzzy Learning

Focus on this issue of disturbance and fault value is inevitable in data collection about analog circuit. A novel strategy is developed for analog circuit online performance evaluation based on fuzzy learning and double weighted support vector machine (DWMK-FSVM). First, the double weighted support vector regression machine is employed to be the indirect evaluation means, relied on the college analog electronic technology experiment to evaluate analog circuit. Second, the superiority of fuzzy learning also is addressed to realize active suppression to the fault values and disturbance parameters. Moreover, the multikernel RBF is employed by support vector regression machine to realize more flexibility online such as the bandwidths tuning. Numerical results, supported by the college analog circuit experiments, adopted OTL performance eight indexes, which were obtained via precision instrument evaluation in two years to construct training set and are then to be evaluated online based on DWMK-FSVM. Simulation results presented not only highlight precision of the evaluation strategy derived here but also illustrate its great robustness.

Evaluation of the Impact of Layout on Device and Analog Circuit Performance With Lateral Asymmetric Channel MOSFETs

2005 ◽  
Vol 52 (7) ◽  
pp. 1603-1609 ◽  
Author(s):  
D.V. Kumar ◽  
K. Narasimhulu ◽  
P.S. Reddy ◽  
M. Shojaei-Baghini ◽  
D.K. Sharma ◽  
...  
Keyword(s):  
Analog Circuit ◽  
Asymmetric Channel ◽  
Circuit Performance ◽  
The Impact

Backtracking ACO for RF-Circuit Design Optimization

2015 ◽  
pp. 158-179 ◽  
Author(s):  
Bachir Benhala ◽  
Mouna Kotti ◽  
Ali Ahaitouf ◽  
Mourad Fakhfakh
Keyword(s):  
Radio Frequency ◽  
Ant Colony Optimization ◽  
Performance Optimization ◽  
Analog Circuit ◽  
Computation Time ◽  
Research Strategy ◽  
Circuit Performance ◽  
Intensive Research ◽  
Simulation Based ◽  
Simulation Results

Sizing analog, mixed-signal, and particularly radio-frequency circuits generally relies on the experience of the designer. Metaheuristics have been recently proposed, and it has been shown that they can arguably replace the classical iterative simulation-based trial/error approaches. Among the most known metaheuristics, Ant Colony Optimization (ACO) has already successfully been used to deal with analog circuit performance optimization. Despite the fact that ACO is robust and has a good intrinsic intensive research strategy, it suffers from its greedy requirement in computation time. In this chapter, the authors deal with the improvement of the ACO technique by integrating in this algorithm a backtracking search technique that has the role to act on the ratio of the accumulated pheromones, thus reducing the computation time. The new algorithm is called BA-ACO. Performances of BA-ACO are highlighted through some RF-applications. ADS simulation results are given to show the validity of the proposed algorithm.

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