To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probab...
详细信息
To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.
To answer the problem of ambiguous design levels, the hierarchical system model based on quotient space theory was proposed. The model consisted of the system global design level, the architecture level and the execut...
详细信息
To answer the problem of ambiguous design levels, the hierarchical system model based on quotient space theory was proposed. The model consisted of the system global design level, the architecture level and the execution structure level. Furthermore, in order to establish the formal system design model, an allocation model was proposed based on simulation tasks, simulation resources and simulation services, including the relationship constraints between them. Finally, the model was verified based on a concrete simulation system design example.
Considering the characteristics of the servo system, such as disturbance, nonlinearity and high inertia, variable structure controller (VSC) based on extended state observers (ESO) are designed for the aim of quick, s...
详细信息
Considering the characteristics of the servo system, such as disturbance, nonlinearity and high inertia, variable structure controller (VSC) based on extended state observers (ESO) are designed for the aim of quick, stable and high-accuracy controlling processes. The disturbances and high-order factors are estimated and compensated using ESO. Dynamic compensation reduces the motion system to approximately a triple integrator which can be easily controlled using VSC. Because ESO provides a high-frequency path for the dynamic state not modelled, the chatter of VSC is reduced. Through tests in the gun turret system, it was shown that this controller is superior to the engineering PID and general VSC.
We address robust stabilization problem for networked controlsystems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Ly...
详细信息
ISBN:
(纸本)9781424445233
We address robust stabilization problem for networked controlsystems with nonlinear uncertainties and packet losses by modelling such systems as a class of uncertain switched systems. Based on theories on switched Lyapunov functions, we derive the robustly stabilizing conditions for state feedback stabilization and design packet-loss dependent controllers by solving some matrix inequalities. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design method.
This paper presents a new soft switching bidirectional buck or boost DC-DC converter. Compared to the traditional bidirectional DC-DC converter, the new topology can be used as a buck converter or a boost converter in...
详细信息
ISBN:
(纸本)9787506292214
This paper presents a new soft switching bidirectional buck or boost DC-DC converter. Compared to the traditional bidirectional DC-DC converter, the new topology can be used as a buck converter or a boost converter in bidirectional cases for Hybrid Electric Vehicles (HEV) and Electrosorb Technology (EST) etc. This new converter has the advantages of simple circuit and control strategy, soft-switching implementation without additional devices, high power density, low cost, light weight and high reliability. The operating principle, theoretical analysis, and design guidelines are provided in this paper. The simulation and the experimental verifications are also presented.
The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and p...
The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and promising way of controlling the structure and distribution of a group composed of several and even numerous individuals. This paper presents the concepts of aggregation, dilation and group evolution criticality based on group variance. We investigate the relationship between different levels of A&D as a foundation for the introduction of A&D analysis. The applications of A&D analysis and A&R control in several researches, including population-based optimization and group behavior control about multi-agent, are given in the form of simulation experiments.
Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algo...
Marriage in Honey Bees Optimization (MBO) is a new swarm-intelligence method, but existing researches concentrate more on its application in single-objective optimization. In this paper, we focus on improving the algorithm to solve the multi-objective problem and increasing its convergence speed. The proposed algorithm is named as multi-objective Particle Swarm Marriage in Honey Bees Optimization (MOPSMBO). It uses non-dominated sorting strategy and crowded-comparison approach, utilizes the local Particle Swarm Optimization (PSO) to perform the local characteristic, and simpler the structure of MBO. Based on the Markov chain theory, we prove that MOPSMBO can converge with probability one to the entire set of minimal elements. Simulations are done on several multi-objective test functions and multi-objective Traveling Salesman Problem (TSP). By comparing MOPSMBO with MOGA, NPGA, NSGA and NSGA-II, simulation results show that MOPSMBO has better convergence speed and can better converge near the true Pareto-optimal front.
An adaptive fuzzy H control scheme which possesses the strongpoint of adaptive fuzzy control and H control was proposed in this paper. The adaptive fuzzy control can compensate the nonlinear dynamic friction with its ...
详细信息
ISBN:
(纸本)9787900719706
An adaptive fuzzy H control scheme which possesses the strongpoint of adaptive fuzzy control and H control was proposed in this paper. The adaptive fuzzy control can compensate the nonlinear dynamic friction with its universal approximation function and strong robustness, while the H control can suppress the disturbance efficaciously. Finally, the closed-loop system stability and asymptotic position tracking performance were guaranteed by the Lyapunov function and the system tracking accuracy improved, which was verified by the simulation results.
Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest va...
详细信息
Cannonball dispersion evenness is the main parameter for the design and optimization of future air window. The key of solution of cannonball dispersion evenness is the computations of the biggest value and smallest value of a 2-dimensional continuous function, which has many maximum values and minimum values. Moreover, as it need to compute the biggest value and smallest value for many times in the design and parameter computation of FAW, the solution algorithm is required global convergence and quick convergence speed. Many randomly generated individuals are introduced in each generation to avoid local convergence, and in order to speed up the convergence speed, probability distribution models are founded to guide the searching process. By computer simulation verifying, the algorithm has the advantages of quick convergence speed and high precision of solution in certain generations compared to conventional genetic algorithm. The algorithm is also suitable for other optimizing solutions of 2-dimentional continuous function.
We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback c...
详细信息
We consider the output feedback stabilizability of networked controlsystems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.
暂无评论