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IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

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Displaying Results 1 - 15 of 15
• A comment on “Comments on Necessary and sufficient condition for absolute stability of neural networks'”

Publication Year: 1998, Page(s):595 - 596
Cited by:  Papers (33)
| | PDF (92 KB)

This letter points out that a new majorization of the derivative of the Lyapunov function used in the above letter [see ibid., vol.42, p.497-9, 1995] gives a new, weaker condition on the interconnection matrix that is sufficient for the global asymptotic stability (GAS) of the equilibrium point for dynamical neural networks. The result also includes some earlier results derived in the literature View full abstract»

• A comment on “Comments on Necessary and sufficient condition for absolute stability of neural networks'”

Publication Year: 1998
Cited by:  Papers (4)
| | PDF (60 KB)

This letter points out that a statement in the above letter [see ibid., vol.42, p.497-9, 1995] saying that the sufficiency part of absolute stability result on neural networks includes the sufficiency part of the absolute stability result in Forti et al. [see Proc. 1994 IEEE Int. Symp. Circuits Systems, p.241-4, April 1994], is not correct under the stated conditions. On the other hand, it is show... View full abstract»

• On the analysis of sorting networks from the viewpoint of circuit theory

Publication Year: 1998, Page(s):591 - 593
Cited by:  Papers (2)
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A sorting network is the kernel of an order statistics-based filter and contains all information about the nonlinearity. Its implementation is simple; its analysis, however, is relatively difficult due to the hiding of the nonlinearity. In this short paper, we analyze a sorting network from the viewpoint of classical circuit theory, and reveal its relation to a nonlinear lossless n-port. We show t... View full abstract»

• A differential integrator with a built-in high-frequency compensation

Publication Year: 1998, Page(s):517 - 522
Cited by:  Papers (7)
| | PDF (192 KB)

A novel integrator with differential inputs is described. The integrator uses a single RC network to control the integration action of the circuit. It performs at higher frequencies with higher quality factors than the traditional differential integrator. Simulation and experimental results support the theoretical derivations View full abstract»

• Dynamic properties of cellular neural networks with nonlinear output function

Publication Year: 1998, Page(s):587 - 590
Cited by:  Papers (3)
| | PDF (140 KB)

Cellular neural networks are a novel class of information-processing systems which have architecture similar to neural networks. In this short paper, we consider a nonlinear cellular neural network where the nonlinearity in the feedback circuit is allowed to exhibit hysteresis. Stability analysis of the equilibrium points for such a network is made. Hopf-like bifurcations are proved for an example... View full abstract»

• A DTCNN universal machine based on highly parallel 2-D cellular automata CAM2

Publication Year: 1998, Page(s):538 - 546
Cited by:  Papers (16)
| | PDF (240 KB)

The discrete-time cellular neural network (DTCNN) is a promising computer paradigm that fuses artificial neural networks with the concept of cellular automaton (CA) and has many applications to pixel-level image processing. Although some architectures have been proposed for processing DTCNN, there are no compact, practical computers that can process real-world images of several hundred thousand pi... View full abstract»

• New sufficient conditions for absolute stability of neural networks

Publication Year: 1998, Page(s):584 - 586
Cited by:  Papers (27)
| | PDF (152 KB)

The main result obtained in this paper is that for a neural network with interconnection matrix T, if -T is quasi-diagonally row-sum or column-sum dominant, then the network system is absolutely stable. The above two sufficient conditions for absolute stability are independent of the existing sufficient ones in the literature. Under either of the above two sufficient conditions for absolute stabil... View full abstract»

• A representation theorem for linear systems

Publication Year: 1998, Page(s):578 - 580
Cited by:  Papers (9)
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The cornerstone of the theory of discrete-time single-input single-output linear systems is the idea that every such system has an input-output map H that can be represented by a convolution or the familiar generalization of a convolution. This thinking involves an oversight that was recently corrected by adding an additional term to the representation. Here we give a corresponding result for the ... View full abstract»

• On the characterization and reduction of distortion in bandpass filters

Publication Year: 1998, Page(s):523 - 537
Cited by:  Papers (18)
| | PDF (596 KB)

In this paper we consider the nonlinear mixing products that arise and cause distortion in weakly nonlinear bandpass filters that might be used in a radio receiver. Volterra series analysis is applied to a Gm-C filter with weak cubic nonlinearities in the transconductance amplifiers so that explicit formulae for the amplitudes of the mixing products can be derived and an architecture fo... View full abstract»

• An analytical solution for a class of oscillators, and its application to filter tuning

Publication Year: 1998, Page(s):547 - 556
Cited by:  Papers (29)
| | PDF (376 KB)

We present a completely analytical solution to a filter-comparator oscillator system, and verify it by macromodel simulations and experiment. We discuss the applications of this kind of oscillator in a vector-locked loop system for continuous time filter tuning. We also apply our solution to the operation of a resonant switched mode inverter View full abstract»

• A direct learning law for a class of auto-associative dynamic neural networks

Publication Year: 1998, Page(s):580 - 583
Cited by:  Papers (54)
| | PDF (160 KB)

This paper proposes a new learning technique fur a class of additive dynamic auto-associative neural networks. In the proposed technique, which is based on the Jurdjevic-Quinn stabilization method for control affine systems, the network synaptic weights are directly related to the network states. Asymptotic stability of the training law is assured and a region of attraction around each point attra... View full abstract»

• A simplified thermal analysis approach for power transistor rating in PWM-controlled DC/AC converters

Publication Year: 1998, Page(s):557 - 566
Cited by:  Papers (8)
| | PDF (324 KB)

A simplified dynamic thermal analysis approach is proposed for the estimation of the peak junction temperature in power IGBT transistors operating in pulse-width modulation (PWM) controlled DC/AC converters. This approach can be used for the rating of electron devices or heatsink systems in power circuit design, as it provides a direct analytical link, in terms of electrical and thermal device par... View full abstract»

• Canonical piecewise-linear approximation of smooth functions

Publication Year: 1998, Page(s):567 - 571
Cited by:  Papers (36)  |  Patents (2)
| | PDF (252 KB)

This paper deals with the approximation of smooth functions using canonical piecewise-linear functions. The developing of tools in the field of analysis and control of nonlinear systems based on this kind of functions, as well as its efficiency in the representation of electronic devices, motivates the development of useful methods to obtain accurate approximations. A recursive method is proposed ... View full abstract»

• Estimation of the basin of attractions in CNNs

Publication Year: 1998, Page(s):571 - 574
Cited by:  Papers (3)
| | PDF (124 KB)

A technique is discussed in order to find an estimation of the basin of attraction for each stable equilibrium point in cellular neural networks. The technique is based on the determination of the direction of the trajectories for each of the regions in which the state space is divided via the piecewise linear output function of each cell View full abstract»

• Lyapunov stability of two-dimensional digital filters with overflow nonlinearities

Publication Year: 1998, Page(s):574 - 577
Cited by:  Papers (46)
| | PDF (144 KB)

In this paper, the second method of Lyapunov is utilized to establish sufficient conditions for the global asymptotic stability of the trivial solution of zero-input two-dimensional (2-D) Fornasini-Marchesini state-space digital filters which are endowed with a general class of overflow nonlinearities. Results for the global asymptotic stability of the null solution of the 2-D Fornasini-Marchesini... View full abstract»