scholarly journals On a Quasi Optimal Algorithm for Analog Circuits Optimization

2021 ◽  
Vol 12 ◽  
pp. 61-72
Author(s):  
Alexander Zemliak ◽  
Fernando Reyes ◽  
Olga Felix

An analog circuit design methodology based on applications of control theory is the basis for constructing an optimal or quasi-optimal design algorithm. The main criterion for identifying the required structure of the algorithm is the behavior of the Lyapunov function, which was decisive for the circuit optimization process. The characteristics of the Lyapunov function and its derivative are the basis for finding the optimal structure of the control vector that determines the structure of the algorithm. A block diagram of a quasi-optimal algorithm that implements the main ideas of the methodology is constructed, and the main characteristics of this algorithm are presented in comparison with the traditional approach

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Y. M. A. Khalifa ◽  
D. H. Horrocks

An investigation into the application of Genetic Algorithms (GA) for the design of electronic analog circuits is presented in this paper. In this paper an investigation of the use of genetic algorithms into the problem of analog circuits design is presented. In a single design stage, circuits are produced that satisfy specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values. The extra degrees of freedom resulting from unbounded circuit structures create a huge search space. It is shown in this paper that Genetic Algorithms can be successfully used to search this space. The application chosen is a LC all pass ladder filter circuit design.Key Words: Computer-Aided Design, Analog Circuits, Artificial Intelligence.


1991 ◽  
Vol 01 (02) ◽  
pp. 149-176 ◽  
Author(s):  
KRZYSZTOF WAWRYN

This article deals with a new approach to an intelligent analog circuit design. The iterative closed loop design methodology adopts an expert system approach to provide topological synthesis, the SPICE circuit simulator to evaluate the circuit performance and a new approach of the diagnostic expert system to provide advice on how to improve the design. Unlike previous design methods, this approach introduces formal circuit representation for both numerical and heuristic knowledge of the design system. The predicate logic circuit representation is proposed to introduce a new concept of a formal analog circuit description language. The language syntax and semantics provide precise symbolic description of analog circuits functionality at different levels of hierarchy and connectivities together with transistor sizes of CMOS circuits at the transistor level. Different levels of hierarchy with circuit structures and performance parameters are presented in detail. It is shown how sentence conversion rules of language grammar can be used to derive transistor level circuits from input performance specifications through all intermediate levels of hierarchy. The implementation of the methodology and associated experimental results for CMOS operational amplifier designs are presented.


Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 27
Author(s):  
Jingtian Liu ◽  
Qian Sun ◽  
Bin Liang ◽  
Jianjun Chen ◽  
Yaqing Chi ◽  
...  

In analog circuit design, the bulks of MOSFETs can be tied to their respective sources to remove body effect. This paper models and analyzes the sensitivity of single-event transients (SETs) in common source (CS) amplifier with bulk tied to source (BTS) in 40 nm twin-well bulk CMOS technology. The simulation results present that the proposed BTS radiation-hardened-by-design (RHBD) technique can reduce charge collection and suppress the SET induced perturbation effectively in various input conditions of the circuit. The detailed analysis shows that the mitigation of SET is primarily due to the forward-bias of bulk potential. This technique is universally applicable in radiation-hardening design for analog circuits with negligible penalty.


Mathematics ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 156
Author(s):  
Žiga Rojec ◽  
Iztok Fajfar ◽  
Árpád Burmen

Analog circuit design requires large amounts of human knowledge. A special case of circuit design is the synthesis of robust and failure-resilient electronics. Evolutionary algorithms can aid designers in exploring topologies with new properties. Here, we show how to encode a circuit topology with an upper-triangular incident matrix and use the NSGA-II algorithm to find computational circuits that are robust to component failure. Techniques for robustness evaluation and evolutionary algorithm guidances are described. As a result, we evolve square root and natural logarithm computational circuits that are robust to high-impedance or short-circuit malfunction of an arbitrary rectifying diode. We confirm the simulation results by hardware circuit implementation and measurements. We think that our research will inspire further searches for failure-resilient topologies.


2008 ◽  
Vol 17 (01) ◽  
pp. 123-140
Author(s):  
ÁRPÁD BŰRMEN ◽  
TADEJ TUMA ◽  
IZTOK FAJFAR

The analog-integrated circuits industry is exerting increasing pressure to shorten the analog circuit design time. This pressure is put primarily on the analog circuit designers that in turn demand automated circuit design tools evermore vigorously. Such tools already exist in the form of circuit optimization software packages but they all suffer a common ailment — slow convergence. Even taking into account the increasing computational power of modern computers the convergence times of such optimization tools can range from a few days to even weeks. Different authors have tried diverse approaches for speeding up the convergence with varying success. In this paper authors propose a combined optimization algorithm that attempts to improve the speed of convergence by exploiting the positive properties of the underlying optimization methods. The proposed algorithm is tested on a number of test cases and the convergence results are discussed.


2008 ◽  
Vol 2008 ◽  
pp. 1-9
Author(s):  
Yaser M. A. Khalifa ◽  
Badar Khan ◽  
Faisal Taha

This paper presents a novel approach for a free structure analog circuit design using genetic algorithms (GAs). A major problem in a free structure circuit is its sensitivity calculations as a polynomial approximation for the design is not available. A further problem is the effect of parasitic elements on the resulting circuit's performance. In a single design stage, circuits that are produced satisfy a specific frequency response specifications using circuit structures that are unrestricted and with component values that are chosen from a set of preferred values including their parasitic effects. The sensitivity to component variations for the resulting designs is performed using a novel technique and is incorporated in the fitness evaluation function. The extra degrees of freedom resulting form unbounded circuit structures create a huge search space. The application chosen is an RLC ladder filters circuit design.


Author(s):  
SONALEE P. SURYAWANSHI ◽  
MONICA V. MANKAR

In this paper we present pseudo floating gate and its bidirectional property. Inverter also can be implemented using bidirectional property. The inverter can be made bidirectional simply by interchanging vdd and gnd and no need to add any circuitry or any amplifier. We are using this inverter to implement the differentiator and integrator. We are first implementing inverter using pseudo floating gate. The bidirectionality of the gate is further evolved to be able to control signal flow conditions. And finally using this inverter we are implementing differentiator and integrator. Typical applications are in filter design and IO ports in ICs. Linearity and AC simulations are presented to show the good properties and versatility suited for Bi-directional analog circuit design.


VLSI Design ◽  
2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
K. Odame ◽  
P. E. Hasler

Nonlinear signal processing is necessary in many emerging applications where form factor and power are at a premium. In order to make such complex computation feasible under these constraints, it is necessary to implement the signal processors as analog circuits. Since analog circuit design is largely based on a linear systems perspective, new tools are being introduced to circuit designers that allow them to understand and exploit circuit nonlinearity for useful processing. This paper discusses two such tools, which represent nonlinear circuit behavior in a graphical way, making it easy to develop a qualitative appreciation for the circuits under study.


Author(s):  
Prakash Kumar Rout ◽  
Debiprasad Priyabrata Acharya ◽  
Umakanta Nanda

In a system though the analog circuits occupy very less space but they require far more design time than the digital circuits. This is due to the fact that the number of performance measures of an analog circuit is more than those for digital circuits. Predicting and improving the performance, robustness and overall cost of such systems is a major concern in the process of automation. In the automation process, optimization of performances subjected to a verity of environmental constraints is a central task. In this chapter, efficient analog circuit sizing techniques and their optimization are surveyed.


The work explores the possibility of a significant reduction in processor time required to optimize analog circuits. For this, we can reformulate and generalize the problem of chain optimization based on the approaches of optimal control theory. The analog circuit design process is formulated as a dynamic controlled system. A special control vector has been defined to redistribute the computational cost between circuit analysis and parametric optimization. This redistribution significantly reduces CPU time. The task of designing a circuit for the minimum processor time can be formulated as a classical optimal control problem while minimizing some functional. The introduction of the concept of the Lyapunov function of a controlled dynamic system made it possible to use it to analyse the main characteristics of the design process. An analysis of the behaviour of a special function, which is a combination of the Lyapunov function and its time derivative, made it possible to compare various design strategies and select the best ones that are executed in minimal CPU time.


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