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38 results about "Continuum function" patented technology

In mathematics, the continuum function is , i.e. raising 2 to the power of κ using cardinal exponentiation. Given a cardinal number, it is the cardinality of the power set of a set of the given cardinality.

Power amplifier

InactiveUS20050030104A1Highly efficiently controlled transmission powerContinuous levelAmplifier modifications to reduce non-linear distortionGain controlAudio power amplifierAmplitude control
A power amplifier (1) for receiving and amplifying an input signal (10) and outputting an output signal (11) is disclosed. The power amplifier comprises: N power amplifying units (12) (N is an integer larger than 1) connected in parallel so as to output amplified signals in response to the input signal (10); an output combining unit (14) for combining the output signals from the N power amplifying units (12) and outputting a combined signal as the output signal (11) of the power amplifier; and an amplitude controlling unit (15) for selectively turning ON each of the N power amplifying units (12) based on an amplitude of the input signal (10). In the power amplifier, the amplitude controlling unit (15) may comprise N amplitude adjusters (113) connected in parallel for adjusting the amplitude of the input signal (110) of the power amplifier; and a controller (115) for selectively turning ON each of the N power amplifying units (112) and controlling the amplitude adjusters (113) so that an amplitude of the output signal (111) becomes a substantially continuous function with respect to the amplitude of the input signal (110). The power amplifier may further comprise a local oscillator (222) outputting an constant envelope signal, receiving a modulation signal (210) as the input signal of the power amplifier and outputting an amplified modulated signal (211) as the output signal of the power amplifier; wherein the N power amplifying units comprise N saturation amplifying units connected in parallel so as to amplify the constant envelope signal from the local oscillator; and the amplitude controlling unit comprises an amplifying controller (215) for selectively turning ON each of the N saturation amplifying units (212) based on an amplitude of the modulation signal (210).
Owner:NTT DOCOMO INC

Model-constraint-based mechanical arm energy optimal trajectory planning control method and device

The invention relates to a model-constraint-based mechanical arm energy optimal trajectory planning control method and device. The model-constraint-based mechanical arm energy optimal trajectory planning control method comprises the steps that initial conditions are set and mechanical arm joint angle position description with respect to time is calculated and obtained through a cubic spline interpolation algorithm; on base of the mechanical arm joint angle position description and in combination with a dynamics model, a continuous function of moment with respect to time is obtained; a nonlinear constrained planning model taking mechanical arm movement energy consumption as the optimizing target is established, and in combination with the mechanical arm joint angle position description, thecontinuous function of the moment with respect to time and friction force energy consumption, energy consumption of a target function is solved; and on base of the nonlinear constrained planning model taking mechanical arm movement energy consumption as the optimizing target, the minimum value of energy optimal trajectory planning is iteratively solved adopting a sequential quadratic planning algorithm, and a mechanical arm optimal trajectory is obtained. Compared with the prior art, the model-constraint-based mechanical arm energy optimal trajectory planning control method and device do notneed a large number of complex calculation and have good real-time performance, and energy consumption is least.
Owner:SHANGHAI NORMAL UNIVERSITY

Methods and apparatus based on coplanar striplines

ActiveUS20050068116A1Overcome coplanar stripline lossFacilitate low loss single mode operationSemiconductor/solid-state device detailsSolid-state devicesMode controlClosed loop
Methods and apparatus for implementing standing wave oscillators (SWOS) using coplanar striplines (CPS). One example is given by a quarter-wavelength (λ/4) coplanar stripline standing wave oscillator (SWO), while another implementation utilizes a closed-loop coplanar stripline configuration. In various aspects, SWOs are configured to optimize sinusoidal performance at high frequencies with low power dissipation by incorporating various features that dramatically increase the quality factor Q of the oscillator. In particular, in one aspect, an amplitude-dependent tailored distributed amplification scheme is employed as a mode control technique using multiple amplifiers having different gains along the length of the coplanar stripline. In another aspect, a coplanar stripline configured such that its resistance per unit length R and conductance per unit length G are discreet or continuous functions of position along the coplanar stripline is employed to reduce SWO losses. In another aspect, an enhancement of the quality factor Q is achieved while at the same time reducing the phase velocity of waves propagating in the SWO, thereby also facilitating the fabrication of relatively smaller devices. In yet another aspect, SWOs are configured with frequency adjustability that is again optimized to reduce power dissipation while facilitating significant adjustments of oscillator frequency.
Owner:PRESIDENT & FELLOWS OF HARVARD COLLEGE

Real-time computing method for theoretical line loss of low-voltage distribution room

The invention discloses a real-time computing method for the theoretical line loss of a low-voltage distribution room with dynamic change of the number of users and the power consumption. The real-time computing method comprises the following steps of (1) selecting the type of a model, utilizing the unique optimal approximation character of an RBF (Radial Basis Function) neural network, i.e., any continuous function can be approximated by any precision, adopting the RBF neural network with an online learning function to establish a dynamic model for a power supply and distribution system in the low-voltage distribution room; (2) determining the structure of the model, and determining the structure of the neural network model (neuron) according to the number of the users and the power consumption characteristic in the low-voltage distribution room; (3) identifying parameters of the model; (4) carrying out computation on the theoretical line loss by utilizing the model. The real-time computing method has the advantages that the implementation method is simple, and the neuron network is adopted for constructing the system model, so that the influence of external factors on results is reduced, and further the computing precision is high.
Owner:深圳龙电华鑫控股集团股份有限公司 +1

Screw propeller and aerocraft

The invention relates to the technical field of an aerocraft, in particular to a screw propeller and the aerocraft. The screw propeller comprises an oar hoop and at least two blades which are connected with the oar hoop, wherein at a position (the proportion of the distance from the position to the center of the oar hoop to the radius of the screw propeller is P), the attack angle of the blades is beta, beta is the continuous function of the radius proportion P and satisfies the following conditions that when P is more than or equal to 0 and less than or equal to 25 percent, beta is more than or equal to 10 degrees and less than or equal to 12 degrees; when P is more than 25 and less than or equal to 90 percent, beta is more than or equal to 8.75 degrees and less than 12 degrees; when P is more than 90 percent and less than or equal to 100 percent, beta is more than or equal to 8 degrees and less than or equal to 9 degrees. Due to the fact that different attack angles are arranged at different positions of the blades of the screw propeller, the air resistance is reduced, the efficiency is improved, and the flying speed and the flying distance of the aerocraft are increased; due to the fact that the attack angle beta of the screw propeller is continuously changed, the stability of the screw propeller is improved, and the flying performance of the aerocraft is improved.
Owner:SHENZHEN AUTEL INTELLIGENT AVIATION TECH CO LTD

Permanent magnet linear synchronous motor second type fuzzy fractional order sliding mode control system and method

The invention provides a permanent magnet linear synchronous motor second type fuzzy fractional order sliding mode control system and method. According to the control technology, error amount is obtained according to subtracting of the given speed signals and the feedback speed signals of a permanent magnet linear synchronous motor servo system, a fractional order sliding mode surface is designed according to the error amount, a sliding mode control switching item is designed based on the fractional order theory, the product of the gain and the discontinuous function in the switching item is replaced by using an interval second type fuzzy controller, and the system is verified to be stable according to the Lyapunov function. The interval second type fuzzy controller and the fractional order sliding mode surface are introduced in the design, and the switching item based on the fractional order differential and integral theory is adopted so that buffeting can be effectively reduced. Meanwhile, the uncertainty problem existing in the fuzzy rules of the first type fuzzy system can also be solved so that the robustness of the system can be enhanced. Finally the robustness of the system can be enhanced by the method and the buffeting phenomenon of the system can be weakened.
Owner:东能(沈阳)能源工程技术有限公司

Inverse kinematics solving method and device for service robot in intelligent space

The invention discloses an inverse kinematics solving method and device for a service robot in a smart space. The method includes the following steps that: the forward kinematics model of the robot isestablished by using a D-H parameter method; real number coding is performed on the joint variables of the robot; an adaptive function is constructed with difference between a current pose and a target pose adopted as an optimization objective; and a genetic algorithm is used to perform optimization solution on the joint variables, so that the optimal solution of the inverse kinematics problem isobtained. The method of the invention does not need to be limited to robot configurations, and a plurality of populations are introduced, so that parallel optimization search can be realized, and therefore, the method can cope with the increase of the degree of freedom of the robot; the real number coding is adopted for the individuals, and mapping errors occurring during continuous function discretization when binary coding is adopted can be avoided; and on the basis of the real number coding, crossover operation adopts a linear crossover mode, mutation operation adopts a random mutation mode, and adaptive crossover and mutation probabilities are introduced, and therefore, a better solution can be effectively protected in the later stage of evolution, and convergence speed and precisioncan be guaranteed.
Owner:山东大学深圳研究院

Ecological risk evaluation method combining landscape pattern and regional ecological risk factor

InactiveCN110188986AMaintain ecological securityAccurate predictionResourcesStructural vulnerabilityEcological risk
The invention discloses an ecological risk evaluation method combining a landscape pattern and a regional ecological risk factors. The method comprises the following steps: 1) dividing a to-be-evaluated region into risk evaluation units; 2) determining a risk receptor and an ecological endpoint, analyzing a risk source, and reflecting the hazard degree of the risk source to the receptor accordingto the probability and the intensity to obtain the hazard degree (P) of the risk source; 3) researching the contact exposure relation between the risk source and the receptor in the drainage basin, measuring the vulnerability of the ecosystem, representing the external disturbance degrees of different types of ecosystems by landscape disturbance degree indexes, and reflecting the structural vulnerability in the ecosystem by the vulnerability degree indexes to obtain the vulnerability (D) of the ecosystem; 4) representing the potential loss degree of the risk receptor by adopting ecological assets to obtain the loss degree (L) of the risk receptor, and 5) constructing an ecological risk evaluation model, and regarding the ecological risk (ER) as a continuous function of the risk degree (P)of the risk source, the vulnerability (D) of the ecosystem and the loss degree (L) of the risk receptor.
Owner:INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI

Method for controlling optimization through self-organized extremum optimization process

InactiveCN104361204ASolve the problem that the entire solution space cannot be searchedSpecial data processing applicationsControl objectiveExtremal optimization
A method for controlling optimization through self-organized extremum optimization process is used for solving continuous function optimization through the self-organized extremum optimization process, and the solved optimum solution is used as control parameters. The self-organized extremum optimization process comprises the following steps: step 1, determining the local fitness function of a continuous function f(x) according to a control objective; step 2, generating the initial solution s of the continuous function f(x) at random and setting the current optimum solution sbest; step 3, working out the local fitness of each individual si (i equals to 1, ..., m) aiming at the current initial solution; step 4, finding out the local fitness with the maximum fitness value; step 5, structurally changing the neighbourhood space N(s) of the individual sj corresponding to the local fitness with the maximum fitness value, selecting a neighbourhood solution s' belonging to N(s), and taking the selected neighbourhood solution as a new solution unconditionally; step 6, substituting the new solution and the current optimum solution sbest into the continuous function respectively so as to judge that whether the formula that f(s') is less than or equal to f(sbest) is workable or not, if the formula that f(s') is less than or equal to f(sbest) is workable, setting the new solution to be the final optimum solution, and if the formula that f(s') is less than or equal to f(sbest) is not workable, returning to step 2.
Owner:SHANGHAI DIANJI UNIV

Tool radius directional compensation algorithm for slow slide servo turning of complex curved surface

ActiveCN110209113ASolve solution efficiencySolve solution accuracyProgramme controlComputer controlPoint sequenceEngineering
The invention discloses a tool radius directional compensation algorithm for slow slide servo turning of a complex curved surface. The tool radius directional compensation algorithm comprises the following steps of: firstly, establishing an XZ coordinate system on a contour section curve; carrying out point position discrete processing on the contour section curve to obtain discrete point positions, representing a Z coordinate value with Di,j, wherein in subscripts, i represents times of compensation and j represents a point sequence; then obtaining a subdivided radius compensation point D1,jat a compensated point D0,j; repeating the steps until obtaining a final compensated point Dn,j; and finally, obtaining the Z coordinate value of Dn,j at D0,j. according to the invention, the curve isdirectly subject to discrete subdivision, and the compensated point is obtained on the basis of the rapid directional compensation algorithm; and compared to existing algorithms in the current literature, the tool radius directional compensation algorithm only needs to carry out square and radication operations without carrying out equation solution or curve reconstruction, meanwhile, is also applicable to directional compensation of a first-order discontinuous function, meets the requirements of actual ultraprecision machining engineering application and solves problems of solving efficiencyand solving accuracy.
Owner:INST OF MACHINERY MFG TECH CHINA ACAD OF ENG PHYSICS
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