Characteristics of energy input and output in fruit tree-grain crop intercropping ecosys-tem-A case study from dry valley region in the upper reaches of the Minjiang River.
A pulse power based on thyratron switch, Blumlein pulse forming network and pulsed transformer was adopted. The maximum output power of pulse voltage source and the maximal peak voltage are 1 kW and 100 kV, respectively.
6. When tested in the engine test-bed with rated power and rated rotate speed, the combustion output power of the substitute fuel was equal to that of the diesel fuel.
4. In the ferment system, the input of excrement and urine was 11448kg, corresponding to 41540MJ input energy; the output of biogas gas was 124.7mJ, corresponding to 2610MJ output energy; the output of biogas slurry was 6000kg, corresponding to 460MJ output energy;
The results show that the main output of boron was runoff and leaching,which accounted for 48～53% and 41% of the total respectively,while the output by products accounted for 3.4～10.1%.
Characteristics of energy input and output in fruit tree-grain crop intercropping ecosys-tem-A case study from dry valley region in the upper reaches of the Minjiang River.
The paper adopts MATLAB 6.5 as computational platform and BP neural network configuration which consists of input level, implied level and output level.
This subject also provided the general view schedule of PLC's input and output signals, the table of PLC's I/O addresses, the distribution tables of TIM/CN areas, DM areas and procession-controlling channel and the dictionary of central computer's sign name.
The main parameters of the generator were as follows: peak voltage 37.5kV with 30Ω load, pulse rise time 480ns, pulse width 1.05μs, repetition frequency 100Hz, and output power 3kW.
4. In the ferment system, the input of excrement and urine was 11448kg, corresponding to 41540MJ input energy; the output of biogas gas was 124.7mJ, corresponding to 2610MJ output energy; the output of biogas slurry was 6000kg, corresponding to 460MJ output energy;
To establish a relationship between activity and structural descriptors of BABQ compounds, it is essential to develop a regression or an input-output model.
Stability analysis of the dynamic input-output system
The dynamic input-output model is well known in economic theory and practice.
In this paper, the asymptotic stability and balanced growth solutions of the dynamic input-output system are considered.
This paper constructs the probability model of Gunther generator at first, and the finite dimension union distribution of the output sequence is presented.
This paper constructs the probability model of Gunther generator at first, and the finite dimension union distribution of the output sequence is presented.
The result shows that the output sequence is an independent and uniformly distributed 0,1 random variable sequence.
It gives the theoretical foundation about why Gunther generator can avoid the statistic weakness of the output sequence of stop-and-go generator, and analyzes the coincidence between output sequence and input sequences of Gunther generator.
Minimum squared error (MSE) algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
Their objective functions include the squared error summation between the output of nonlinear function based on kernels and the desired output and a proper regularization term.
Its intermediate design solution and the constraint relations between input and output are generated to fill the common blackboard.
The component variables of the high-speed cutting system are classified into four types: uncontrolled variables, process variables, control variables, and output variables.
Norms for input and output signals are taken to be modular Hilbert and Chebyshev norms in different combinations.
H∞-Control for Guaranteed Simultaneous Input and Output Stability Margins for a Multivariate System
Adaptive Decentralized Control of Multivariable Plants with Scalar Input and Output and Nonminimal Realization of the Reference
Minimum squared error (MSE) algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
Their objective functions include the squared error summation between the output of nonlinear function based on kernels and the desired output and a proper regularization term.
By digitalizing the output of the gyroscope, this system uses a floating-type digital signal processor (DSP) to process the signal demodulation and achieve the feedback control of the gyroscope.
Moreover, we demonstrated that Perambulator-I can successfully exhibit serpentine locomotion by using the output of the proposed CPG controller.
A dynamical sliding-mode controller is devised to track the output of mobile manipulators.
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