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ABSTRACT: A new topology for the realization of MOSFET-C integrated biquadratic filters is proposed which uses an MOS differentiator with non-balanced structures. an interesting characteristic of the new topology is the possibility of realizing lowpass, bandpass and highpass filters with a one-to-one relationship between the biquadratic parameters and the circuit elements. This characteristic allows the implementation of programmable switchable filters.
International Journal of Circuit Theory and Applications 12/2006; 18(5):431 - 442. · 1.63 Impact Factor
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ABSTRACT: A full-range off-line power supply based on a two-inductor
resonant current-clamped DC-DC converter is presented in this paper. The
converter's operation allows a zero voltage turn-on of the MOSFETs.
Moreover, conduction losses are drastically reduced by the current
clamping effect achieved by utilizing both the leakage and the
magnetizing inductance of the transformer. As a result switching losses
are nearly zero, while conduction losses are much lower than in
conventional resonant inverters and a full-load high-line maximum
efficiency η=86% is achieved for the entire power supply at a
frequency operation in the hundreds of kilohertz range. The output
voltage V<sub>0</sub>=16 V is regulated over the entire load range, that
is for an output current I<sub>0</sub> ranging from 0.2 A to 2 A and for
both American and European standard input voltages
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on; 07/1997
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ABSTRACT: The increased complexity of electronic circuits due to
technological improvement has caused the need of always more
sophisticated testing and fault diagnosis methodologies. However, while
for digital systems these methodologies have now reached full
automation, for analog and mixed signal systems there is a lack of
efficient and simple methods in this field. The aim of this work is to
present a completely new methodology for the parametric fault diagnosis
of linear analog circuits. The new method, which is based on the k-fault
diagnosis hypothesis and takes into account tolerances and measurement
errors, has been fully automated. The automatic fault diagnosis system
has been developed by exploiting symbolic techniques, which permit a
significant reduction in the computational complexity
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on; 06/1996
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ABSTRACT: A new program package which constitutes an environment for the
interactive exploration and improvement of analog circuit topologies is
presented in this paper. The environment is provided with
functionalities which permit the graphical schematic entry of the
circuit, the symbolic analysis, the approximation of the symbolic
results, the use of an external numerical simulator and the graphical
postprocessing of both the symbolic and numerical simulation results.
These functionalities allow us to immediately evaluate the influence of
both topology and component value changes on the circuit behavior. The
result is useful for educational/training purposes and for the
interactive synthesis of new high-performance analog circuits
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on; 06/1995
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01/1995
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ABSTRACT: Testing an electronic circuit is a vital part of its overall
design and fabrication process. This problem is even going to be more
critical with technology improvements and with the coexistence on a chip
of analog and digital components. In fact the testing of mixed signal
microsystems is very difficult compared to digital only devices. They do
not lend themselves to earlier and simpler test routines. The entire
mixed signal segment is hampered by the lack of design for testability
methodologies and tools. In this field the concept of analog circuit
testability is of fundamental importance. The aim of this work is to
present a new symbolic approach for testability measurement of analog
networks. The new method presents noteworthy advantages from a
computational point of view with respect to previous techniques. In fact
it does not require the computation of the sensitivities of the network
functions but it is based only on the study of the network function
symbolic coefficients. The new approach allows also the formulation of
simple necessary conditions for maximum testability based only on the
order of the network functions
Instrumentation and Measurement Technology Conference, 1994. IMTC/94. Conference Proceedings. 10th Anniversary. Advanced Technologies in I & M., 1994 IEEE; 06/1994
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ABSTRACT: The authors show that the property of global asymptotic stability
is guaranteed for a class of neural circuits with a special form of
nonsymmetric interconnection matrix. They also show that neural networks
used to solve typical optimization problems such as linear and quadratic
programming problems fall into the class of circuits studied here and
are characterized by a unique globally asymptotically stable
equilibrium. The results are proved by means of the Lyapunov method and
by finding suitable Lyapunov functions that are valid for special
classes of neural networks with nonsymmetric interconnection matrices as
described
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on; 06/1993
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ABSTRACT: A novel approach to the application of symbolic analysis
techniques to the automated fault diagnosis of nonlinear analog.
circuits is presented. To this end a program package has been realized
which is able to produce symbolic simulators devoted to any part of the
circuit under test, suitably partitioned. In this way it is possible to
obtain a library of simulators which can constitute the deep knowledge
of an expert system for the fault diagnosis of electronic circuits. A
simple example illustrates the features and potentialities of the
proposed approach
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on; 06/1992
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ABSTRACT: A symbolic formulation approach is applied to the problem of
computing testability features of analog linear networks. The program,
SAPTES, obtained by following this approach is presented. The program
can be a very useful tool for designers and researchers in the field of
linear analog circuits. SAPTES, which is written in LISP and runs on
MS-DOS personal computers, is able to compute the testability of linear
circuits of rather high complexity (composed of tens of components and
nodes). Computational times range from a few tens of seconds to some
tens of minutes on medium speed computers. The program is easily
transportable to workstations or a mainframe, and, for the mainframe,
program performance will considerably increase
IEEE Transactions on Instrumentation and Measurement 01/1992; · 1.21 Impact Factor
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ABSTRACT: A program for the selection of test points in linear analog
networks is presented. The program, written in PROLOG, is based on a
knowledge base constituted by simple rules derived from experience and
heuristic reasoning. It utilizes a program previously developed by the
authors which is able to compute network testability, having specified a
set of test points. Illustrative examples are given
Circuits and Systems, 1990., IEEE International Symposium on; 06/1990
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ABSTRACT: A personal computer program for the sensitivity analysis of linear
networks is presented. The program, which is part of an integrated
program package for the symbolic analysis of electric circuits, is based
on artificial intelligence techniques and, in particular, on symbolic
manipulation of algebraic expressions. The program obtains the network
sensitivity functions in completely symbolic form with respect to the
complex frequency and in completely (or partially, if requested)
symbolic form with respect to the circuit components
Circuits and Systems, 1989., IEEE International Symposium on; 06/1989
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ABSTRACT: A personal computer program for the symbolic analysis of lumped,
linear, time-invariant networks is presented. The program, written in
Microsoft Lisp, utilizes methods of symbolic manipulation of algebraic
expressions. The proposed approach is based on modified nodal analysis
and an algorithm developed by the authors for the completely symbolic
solution of the related linear systems. A useful property of the program
is that it allows the user to select the circuit components which he
wishes to consider as symbolic parameters. In order words, with SAPEC,
it is possible to obtain the network functions in complete or partial
symbolic form
Circuits and Systems, 1988., IEEE International Symposium on; 07/1988
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ABSTRACT: With increasing electronic circuit complexity, assessing the testability features becomes a necessity during the design, implementation, and operational or maintenance phases of an analog system. A quantitative measure of testability, based on several multifrequency stimuli, is adopted which is able to handle multiple faults and may provide information also on the degree of complexity encountered in a specific test. An efficient and practical algorithm is proposed which is associated with the result of Sen and Saeks and has a well-defined interpretation even with a large number of circuit parameters liable to failure. The described technique is a basis for optimizing the number and allocation of the selected test points; furthermore, it may serve as an aid in functional partitioning of the same system to facilitate testing and/or reduce computational complexity. An application to a classical active filter is also given.
IEEE Transactions on Circuits and Systems 07/1986;
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ABSTRACT: A method for the synthesis of lowpass filters by means of only capacitors and m.o.s. switches, i.e. without active components, is described.
Electronics Letters 02/1980; · 0.96 Impact Factor
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ABSTRACT: The aim of this paper is to discuss the role of Absolute Stability
(ABST) in the design of neural optimization solvers and to find
necessary and sufficient conditions for ABST for some classes of neural
networks of applicative interest. By ABST it is meant that there is a
unique equilibrium point attracting all trajectories of motion and that
this property is valid for all neuron activation functions belonging to
a specified class of nonlinear mappings and for all constant neural
network inputs. ABST neural networks are best suited for solving
optimization problems being devoid of spurious suboptimal responses for
every choice of the activation function and of the input vector. A
necessary and sufficient condition for ABST has been found for symmetric
neural networks of the Hopfield type. In this paper, we show that the
concept of ABST can be applied also to special classes of nonsymmetric
Hopfield neural networks and to neural models different from the
Hopfield one. It is shown in particular that necessary and sufficient
conditions for ABST can be found for two interesting classes of
nonsymmetric networks, namely, cooperative Hopfield-type networks and
composite neural networks with variable and constraint neurons used for
solving linear and quadratic programming problems in real time
Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on;
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ABSTRACT: This paper discusses the design of a neural network for solving some classes of combinatorial optimization problems in real time. By means of a suitable design procedure which is not based on energy arguments, it is guaranteed that the network is devoid of spurious responses. An important application is considered to a typical optimization problem arising in the telecommunications field. More specifically, we show how the neural network can be used to take decisions for switching packets and improve switching performance in a fast packet switching fabric with input buffers
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on;
