Inverted pendulum system simulation and physical control experiment is a typical scheme which used in verifies a certain control theory or method in control field. It is important means for the control of a certain unstable system and feedback control theory in deeply understand. At present, inverted pendulum balance control research mainly concentrated on the
(Read More…)
The Polarized Hyperspectral remote sensing combines Hyperspectral remote sensing and polarization. And Hyperspectral has the abundant spectral and spatial information, so these make Hyperspectral win favors on some domains, such as remote sensing and medicine etc. And polarization has a significant advantage on the low reflectivity’s target and the vegetation coverage, so it also obtains
(Read More…)
The Polarized Hyperspectral remote sensing combines Hyperspectral remote sensing and polarization. And Hyperspectral has the abundant spectral and spatial information, so these make Hyperspectral win favors on some domains, such as remote sensing and medicine etc. And polarization has a significant advantage on the low reflectivity’s target and the vegetation coverage, so it also obtains
(Read More…)
To model the uncertainty delay of the networked control systems in this paper, the author sets forth the typical structure and basic problems of network control system. The element and the causes of the uncertainty network delay is analyzed and its effects is estimated.Based on the sample period, the network time delay could be divided
(Read More…)
Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models
(Read More…)
Chemical process modeling is a main field of chemical engineering process and plays a fundamental role in process simulation, optimization and control. However, because most chemical processes have very complex mechanisms, strong-coupling and high severe nonlinearities, it’s hard to establish mechanism model, which is the reason why empirical modeling is adopted. Artificial neural network models
(Read More…)
Support vector machine based on statistical learning theory has become a new and generalized method for machine learning. It develops rapidly and has been widely used in recent years. Traditional support vector regression (SVR) algorithm is only for single output system. Several SVR models were evaluated to identify one appropriate for multi-output systems, which has
(Read More…)
Support vector machine based on statistical learning theory has become a new and generalized method for machine learning. It develops rapidly and has been widely used in recent years. Traditional support vector regression (SVR) algorithm is only for single output system. Several SVR models were evaluated to identify one appropriate for multi-output systems, which has
(Read More…)
With continuous development of network technology, current network environments are becoming more complex. In such complex network environments especially in the cloud computing environment, the requirements and expectations of people for software functions are increasing, and the latter part of the software development process is needed to maintain and improve more urgently. The software evolution
(Read More…)
In recent years, the global economic is integrated, the science and technology development rapidly. In this era background, the food supply chain enterprise’s mode of production and living environment has changed very much, and the ability of enterprise to gain profit rise further, but the food safety problems are not decreased with the development of
(Read More…)
