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This paper studied the modeling and simulation of the public opinion propagation in the small-world network. The public opinion information propagation characteristics were firstly analyzed, and different states of the people in the propagation environment were proposed. Based on that, this paper constructed the public opinion propagation model based on the agent modeling method, and proposed the...
Human behavioral interventions aimed at improving health can benefit from objective wearable sensor data and mathematical models. Smartphone-based sensing is particularly practical for monitoring behavioral patterns because smartphones are fairly common, are carried by individuals throughout their daily lives, offer a variety of sensing modalities, and can facilitate various forms of user feedback...
In this paper, we analyze the robustness of global exponential stability of reaction diffusion neural networks. Given a global exponential stable reaction diffusion neural networks, the upper bounds of noise intensity and parameter uncertainty in connect weight matrices are obtained. The reaction diffusion neural networks with noise will remain to be global exponential stability when noise intensity...
The trajectory planning of Unmanned Aerial Vehicle (UAV) and Aerial Robots generally refers to a series of optimization problems. This paper presents a method of trajectory planning and design for UAV based on the A* algorithm. Using grids to process the trajectory path planning of UAV under the environment with presence of obstacles, and then search the shortest path from the initial point to the...
This paper combines the fractional-order iterative learning control (FOILC) and the high-gain universal adaptive stabilizer (UAS) into a high-gain adaptive FOILC scheme, which is a feedforward-plus-feedback one. Allowing for the commonality of FOILC and UAS, the proposed scheme requires only the structural information of fractional-order systems, and the convergence condition remains the same with...
This paper reveals a previously ignored problem for fractional order iterative learning control (FOILC) that the fractional order system may have different behaviors when it is initialized differently. To implement a novel scheme of FOILC for this so-called initialized fractional order system, a Dα-type control law is applied, and the convergence condition is derived by using the short memory principle...
This paper discusses the stability issues of fractional-order nonlinear scalar systems by using the distributed-order operators and the order sensitivity method. A positivity check method is proposed by the use of initialized fractional calculus. By doing so, the fractional-order system is converted to a corresponding distributed-order one, and a group of Lyapunov function candidates of the distributed-order...
This paper discusses the parameter and differentiation order identification of continuous fractional order Hammerstein systems in ARX and OE forms. The least squares method is applied to the identification of nonlinear and linear parameters, in which the Grünwald-Letnikov definition and short memory principle are applied to compute the fractional order derivatives. A P-type order learning law is...
The fractional-order Hammerstein system is a cascading system composed of a static nonlinearity followed by a fractional-order linear dynamics, which is a typical nonlinear system satisfying the local Lipschitz condition, and exhibits quasi-linear properties. This paper combines the fractional-order iterative learning control (FOILC) and the fractional-order iterative learning identification (FOILI),...
Trajectory planning of robots is not only an important research field of robotics, but also an challenging combination of artificial intelligence and robotics. Trajectory planning is a key technology of Unmanned Aerial Vehicle (UAV). It is also a prerequisite for autonomous navigation of UAV. Under the static environment distributing of obstacles, seeking a shortest path from the starting point to...
With the fast development and evolution in the vehicle market, the construction and maintenance of the vehicle supply network faces greater challenge, making its modeling and simulation critically important. This paper, aiming at the lack of the precision and wholeness as well as the global visualization, proposed an agent-based vehicle supply model by analysing the objects in the network. The proposed...
In this paper, a practical Identification strategy is applied to the optimal design of fractional-order iterative learning control (FOILC). The initialized fractional-order gray-box system with commensurate order or non-commensurate order is identified by using the fractional-order iterative learning Identification and the least square or instrumental variable method. The optimal Dα-type FOILC is...
With the gaining popularity of multiple criteria decision analysis (MCDA) among researchers and practitioners, a variety of software that implements sophisticated MCDA methods and techniques is now available. To address the issue of the missing methodological approach in MCDA software selection, especially the mismatch between the decision making situation (DMS) structuring and the preference structuring...
A nonlinear intelligent reentry control method with B-spline functional link network disturbance observer (BFLNDO) is presented for hypersonic vehicles (HSVs). The nonlinear generalized predictive control (NGPC) algorithm is employed to design the nominal control law of the attitude system of the HSV. The output prediction defined on finite horizon is carried out via Taylor series expansion. The unmodeled...
This paper presents a method of trajectory planning and design for Unmanned Aerial Vehicle (UAV) based on the A∗ algorithm. Using grids to process the trajectory path planning of UAV under the environment with presence of obstacles, and then find the shortest path from the initial point to the target point based on rasterized environment using A∗ algorithm. The simulation of trajectory planning is...
In applications of permanent magnet, the calculation for magnetic flux intensity is of primary importance. The magnetic dipole is simple mathematic model which is used frequently. However, it is required that the evaluation points are far from the magnet; otherwise, the measured data is wrong. An approach of calculating the magnetic flux intensities at those points which are very close to the magnet...
In this paper, we argue that the temporal dynamic patterns of entrepreneurial activities affect the likelihood of new venture creation. We put forward theoretical model based on complexity science, and test these hypotheses using longitudinal data from Chinese Panel Study of Entrepreneurial Dynamics. This paper reaches the following findings: ① Rate and new ventures' initial performance shows an inverse...
The traffic jam of urban road is one of the important issues of common concern to the international community, which affects the efficiency and quality of city life. In order to solve the urban road traffic congestion problem, this paper gathers information and data about a five forks by the Work Sampling and image analysis method. Then, according to the queuing model of M/M/1, these parameters as...
People in the past thought there must be a replacement to the healthcare system of that time that almost never provides practitioners timely and efficient access to a patient's complete health history. An electronic health record (EHR) is an evolving concept defined as a systematic collection of electronic health information about individual patients or populations.Emerging electronic health record...
Since year 2000, our country, to improve students' English abilities, promoted bilingual education in Universities and Colleges. In response, teachers from all over the country have been working in this domain and published tens of thousands of relative research papers and articles. Recently, more researchers are concerned with the appraisal of bilingual education in order to find out its effectiveness...
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