Abstract: An integrated cellular network structure that is programmable to solve partial derivative differential equations in order to control a phenomenon of diffusion or a propagation of electric drive pulses for robot actuators. Such structure includes analog and digital portions interconnected with each other; the analog portion having a matrix array of analog cells arranged to receive data from an I/O interface, and the digital portion having first and second memory arrays for storing a desired configuration and the initial state of such analog matrix array, respectively.

Abstract: A method of controlling the movements of a multi-actuator electro-mechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.

Abstract: The method for authentication and electronic signature is of the private-key, challenge and response type between a user requesting an authorization, via, for example, a smart card and a controller—check terminal—supplying the authorization. To increase security of the authorization or authentication operations, the smart card comprises a chaotic generator generating user's acknowledgement code, which is compared with a comparison code generated by the check terminal using a chaotic generator which is the same.

Abstract: A method of controlling the movements of a multi-actuator electromechanical system having a matrix of locally interconnected analog cells associated therewith is provided. Each cell represents a hardware implementation of a model of fuzzy inference rules. The model includes a fuzzy circuit architecture which may be implemented in an integrated circuit with VLSI CMOS technology that generates and controls a reaction diffusion mechanism typical of auto-waves using a fuzzy neural network. The fuzzy neural network defines the functional relationships that may duplicate simultaneous reaction diffusion equations. The duplication of the simultaneous reaction diffusion equations is provided using two sets of fuzzy rules processing, in a linguistic manner, the state variables of the cells. An oscillatory type dynamic is imposed on each cell where two dynamic processes having different kinetic characteristics coexist.

Abstract: An integrated cellular network structure that is programmable to solve partial derivative differential equations in order to control a phenomenon of diffusion or a propagation of electric drive pulses for robot actuators. Such structure includes analog and digital portions interconnected with each other; the analog portion having a matrix array of analog cells arranged to receive data from an I/O interface, and the digital portion having first and second memory arrays for storing a desired configuration and the initial state of such analog matrix array, respectively.

Abstract: A method to protect the contents of an electronic document through an encryption system based on an initial confusing step in a scrambler and a subsequent diffusion step in a chaotic processor, both steps being of a chaotic type. Initially, encryption keys and an initial chaotic value are acquired; input character strings are acquired; and diffused character strings are calculated using the input character strings, the encryption keys, and previous diffused character strings. After a certain number of iterations, sets of diffused character strings are added to subsequent chaotic values generated by a chaotic processor to obtain encrypted words. Decryption is obtained through two successive operations, wherein the encrypted words are added to chaotic values identical to the encryption values and subtracted from previously decrypted words using an unscrambler element having a structure similar to that of the scrambler and using identical encryption keys.

Abstract: A robust communication system for transmitting through a noisy environment includes a signal source for providing discrete signals, a chaotic modulator for modulating the discrete signals, and an incoherent discriminator or receiver for receiving the modulated signals. The incoherent discriminator includes a high-pass filter for removing the lowest frequency harmonics of the received signals, a rectifier for providing an absolute value of the received signals, a low-pass filter and a comparator after the low-pass filter.