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403 results about "Attractor" patented technology

In the mathematical field of dynamical systems, an attractor is a set of numerical values toward which a system tends to evolve, for a wide variety of starting conditions of the system. System values that get close enough to the attractor values remain close even if slightly disturbed.

Three-order switchable constant Lyapunov exponent spectra chaotic circuit and using method thereof

InactiveCN101662278ARealize Synchronous Inversion ControlRealize phase inversion controlLogic circuitsSecure communicationRadar
The invention relates to a three-order switchable constant Lyapunov exponent spectra chaotic circuit and a using method thereof, wherein, the three-order switchable constant Lyapunov exponent spectrachaotic circuit comprises a single absolute value item chaotic circuit, an attractor adjusting circuit, a double absolute value item chaotic circuit, a phase inverter circuit, an amplitude adjusting circuit and a corresponding switch group; and the method comprises the steps of taking the basic constant Lyapunov exponent spectra chaotic circuit of a single absolute value item as the basis, and utilizing an absolute value arithmetic unit, a linear and nonlinear feedback branch, an adjustable power supply and a switch for constituting the switchable chaotic circuit. A phase track attraction region of the basic constant exponent spectra chaotic circuit is adjusted by switching through the switch and introducing a linear feedback item; the introduction of a nonlinear absolute value item can obtain the constant exponent spectra chaotic circuit with double absolute value items; and the amplitude adjustment of chaotic signals can be realized through the adjustable power supply, and the phasecontrol of the chaotic signals can be realized through the synchronous changes of feedback polarities of a constant item and the absolute value items. The three-order switchable constant Lyapunov exponent spectra chaotic circuit has the advantages of simple circuit, controllable amplitude and phase of the signals and abundant evolution of an attractor, thereby being widely used in chaotic radar, secure communication and fluid stirring.
Owner:JIANGSU INST OF ECONOMIC & TRADE TECH

Five-dimensional chaotic system and chaotic signal generator based on five-dimensional chaotic system

InactiveCN103634099AStrong anti-deciphering abilityGood encryptionSecuring communicationDigital analog converterChaotic systems
The invention discloses a five-dimensional chaotic system and a chaotic signal generator based on the five-dimensional chaotic system, and relates to the information encryption field. The five-dimensional chaotic system provided by the invention is small in quantity of occupied digit circuit multiplying units, easy to implemented and large in chaotic system parameter range, so that complex chaotic signals are obtained, and the information encryption safety is improved. The five-dimensional chaotic system is used for inputting five chaotic signals and has typical chaotic attractors. An FPGA (Field Programmable Gate Array) in the chaotic signal generator is used for generating a five-dimensional chaotic system circuit, and the five chaotic signal output ends are respectively connected with the digital signal input ends of first, second, third, fourth and fifth digital analog converters. One end of a dial switch is connected with a power supply while the other end of the dial switch is respectively connected with the power supply ends of the five digital analog converters. The signals output by the five digital analog converters are voltage signals. The chaotic signal generator can provide a five-dimensional chaotic signal source which has various association of variation, is used for information encryption and has good chaotic characteristics.
Owner:HARBIN UNIV OF SCI & TECH

Finite time neural network optimization method for solving inverse kinematics of redundant manipulator

The invention discloses a finite time neural network optimization method for solving the inverse kinematics of a redundant manipulator. The finite time neural network optimization method comprises thefollowing steps that 1), an expected target track r*(t) and a joint angel theta*(0) expected to be returned of an end effector of the redundant manipulator are determined, and the end effector of the manipulator is deviated from the position of the expected track; 2), final state attraction optimization indexed are designed, a quadratic programming scheme based on the final state attraction is constructed, wherein an initial joint angle of the redundant manipulator during actual movement can be arbitrarily designated, the initial joint angle theta(0) of the redundant manipulator during actual movement is given, theta(0) is taken as a motion starting point, and the formed repeated motion programming scheme is described as the quadratic programming with the final state attractor optimization indexes; 3) a final state neural network model of a finite value activation function is constructed, and a finite value final state neural network is used for solving a time-varying matrix equation; and 4), the result which is obtained by solving the equation is used for controlling each joint motor to drive the manipulator to execute tasks. The finite time neural network optimization method has the advantages of being high in precision and capable of converging in finite time.
Owner:ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY

Memristor based four-wing hyper-chaos system establishing method and circuit implementation

The invention relates to a memristor based four-wing hyper-chaos system establishing method and circuit implementation. An operational amplifier U1, an operational amplifier U2, an operational amplifier U3 and resistor and capacitor implementation addition, opposition and integral operations are used, and a multiplying unit U4, a multiplying unit U5, a multiplying unit U6 and a multiplying unit U7 are used for achieving the multiplying in the chaos system. An operational amplifier U8 and a multiplying unit U9, a multiplying unit U10 and the capacitors are used for achieving a memristor model. The operational amplifier U1 is connected with the multiplying unit U5, the multiplying unit U7, the operational amplifier U2 and the operational amplifier U3. The multiplying unit U4 is connected with the operational amplifier U1, the multiplying unit U5 is connected with the operational amplifier U2, the multiplying unit U6 and the multiplying unit U7 are connected with the operational amplifier U3, and the operational amplifier U8 is connected with the multiplying unit U9 and the multiplying unit U10. By means of the system, on the basis of a three-dimensional chaos system, a memristor is used for adding one dimension to form the four-dimensional hyper-chaos system, and the formed four-dimensional hyper-chaos system has four-wing attractors.
Owner:国网山东省电力公司临清市供电公司 +1
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