- Fractional Differential Equations Solutions
- Distributed Control Multi-Agent Systems
- Iterative Methods for Nonlinear Equations
- Neural Networks Stability and Synchronization
- Advanced Algorithms and Applications
- Nonlinear Waves and Solitons
- Nonlinear Differential Equations Analysis
- Mathematical and Theoretical Epidemiology and Ecology Models
- Higher Education and Teaching Methods
- Machine Fault Diagnosis Techniques
- Simulation and Modeling Applications
- Advanced Memory and Neural Computing
- Advanced Decision-Making Techniques
- Reliability and Maintenance Optimization
- Modular Robots and Swarm Intelligence
- Risk and Safety Analysis
- Adaptive Control of Nonlinear Systems
- Advanced Research in Science and Engineering
- Differential Equations and Numerical Methods
- Advanced Sensor and Control Systems
- Evaluation and Optimization Models
Qingdao Agricultural University
2011-2023
University of Electronic Science and Technology of China
2017
Bentham Science Publishers (United Arab Emirates)
2013
Bentham Science Publishers (China)
2013
Heze Medical College
2010-2011
This article is concerned with the bipartite flocking problem in multi-agent systems. Our contributions can be summarized as follows. Firstly, a class of preassigned-time consensus protocols proposed to solve issue Secondly, aid symmetric properties graph theory and Lyapunov stability theorem, we prove that agents divided into two disjointed clusters finite time, they move opposite directions at same magnitude speed. The protocol novel among existing fixed/finite-time associated settling...
In this paper, the finite-time bipartite consensus (FTBC) problem is investigated for multi-agent system (MAS) with detail balanced structure. To realize FTBC of MAS, a unified protocol framework developed. Some criteria are established realizing FTBC. It worth noticing that estimations settling time can be given in form mathematical expression. The bring various protocols by choosing different parameters, which extends previous results. Finally, two numerical examples provided to illustrate...
The blowout preventer valve is the last protective screen to prevent oil spilling in offshore drilling platform. To avoid happen of and other disasters which caused by failure, a lifetime prognosis approach employed forecast based on Wiener process. Firstly, performance degradation model established according data valve. Secondly, parameters are obtained virtue maximum likelihood estimation method, then prognosed. Finally, an example given verify its effectiveness reliability.
In this paper, the homotopy analysis method is proposed to solve a class of holling model with functional reaction.The characterized nonlinear equations in denominator and it difficult obtain closed approximation solutions.The series solutions are obtained results show that presented efficiency simplicity.The convergence algorithm also proved.
In this paper, the Homotopy Analysis Method (HAM) has been used to solve an eco-epidemic model equation. The algorithm of approximate analytical solution is obtained. HAM contains auxiliary parameterhwhich provides us with a convenient way adjust and control convergence region rate series. results obtained show that these algorithms are accurate efficient for model.
In this paper, we apply the homotopy Analysis Method (HAM) to obtain approximation analytical solutions of Ablowitz-Ladik-Lattice, that illustrate validity and great potential HAM in solving discrete Ablowitz-Ladik-Lattice. The results show proposed method is feasible convenient.
Firstly, we use the idea of mapping by kernel function KECA to transfer original global nonlinear problem into linear one under high-dimensional feature space improve manifold learning dimension reduction algorithm LLE, then put results obtained form KELE RBF, constructing RBF model based on KELE. And choose foreign exchange rate time series verify improved model, and show that can effectively reduce samples prediction accuracy is increased obviously.
The finite-time stabilization problem of nonlinear systems is investigated in this paper. Firstly, to improve the precision settling time system, a new stability theorem established, and higher derived from it. Moreover, by theoretical derivation, we prove that corresponding more accurate than existing results. Secondly, as an application, class protocol framework, which unifies continuous discontinuous ones into uniform formula, designed solve general neural network it can bring control...