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Cross layer congestion control algorithm based on compressed sensing (CS) is developed and designed in order to relieve congestion in Wireless Sensor Networks (WSNs).The main idea of this paper is to reduce congestion of sensor nodes by compressed transmission signal and allocated channel. In order to make an ideal distribution for sensor node, original signal is compressed at the network bottleneck,...
Network science have constantly been in the focus of research for the last decade, with considerable advances in the controllability of their structural. However, much less effort has been devoted to study that how to improve the controllability of complex networks. In this paper, a new algorithm is proposed to improve the controllability of complex networks by rewiring links regularly which transforms...
A direct method is discussed for multistage launch vehicle ascent trajectory optimization. First the optimal control problem is modeled with the performance index as maximum terminal mass. A modified Gauss Pseudospectral method is used to design a rapid optimal algorithm for multistage launch vehicle ascent trajectory. The nonlinear terminal state constraints are converted into linear terminal state...
Compared with the conventional optimization approaches, Gauss Pseudospectral Method (GPM) can deal better with optimal problems with complex constraints and is less time consuming. As a numerical technique, GPM transforms the optimal control problem to a nonlinear programming problem (NLP) by using discrete approximation. This paper considers a cruise missile's mission which is to hit a fixed target...
A new and simple method is proposed to design the P-D feedback controller for continuous-time descriptor systems in this paper. The original system is turned into a normal system by using a linear transformation. Based on the control theory and variable substation method, the bilinear inequality is changed to the linear matrix inequality (LMI). With this method, the LMI conditions and P-D feedback...
There is a huge energy-saving space in sports lighting area, sports lighting designers have taken plenty of measures to save energy, but using the intelligent optimization algorithms to optimize the sports lighting's light environment for energy-saving are rarely studied in domestic. In this paper we take advantage of the evolutionary parallel search abilities of genetic algorithms to find the appropriate...
This paper studies the collaboration-based vehicle routing problem with appointment time window aiming at the pickup and delivery service to airport. After defining the satisfaction degree under appointment time window, a heuristic approach is proposed to find the globally optimal vehicle routing scheme. By modeling the pickup and delivery service to airport with and without collaborations, the corresponding...
An integrated guidance and control model for missile control system design is established in this paper. Finite-time stability theory is used to design a finite-time convergent guidance and control law based on the proposed model. Some simulation tests are done to verify the validity of the control law designed in this paper and the advantages compared with other guidance laws. The results show the...
Launch control is a complex issue which requires keeping the engine running, making the launch process of the vehicle smooth and fast. According to the diversity and the uncertainty of launch conditions and the complex control requirements, an active disturbance rejection controller (ADRC) is designed by the speed tracking control. Moreover, a model of the clutch system is given based on the dynamics...
A saturation allowed scheduled anti-windup design method is proposed in this paper for the linear systems subject to input saturation. We introduced the scheduled controller design method into the anti-windup scheme, in which a family of controllers are designed. These controllers are activated depending on the response of the system, rather than only considering the worst noise case off-line. Also,...
In this paper we consider H2-regularity of pullback attractors for the reaction-diffusion equation. Firstly, we show that under the suitable conditions, every family of bounded subsets of L2(Ω) which is invariant for the process U, is in fact bounded in H2(Ω). Then, as a consequence, we obtain that the system has a unique continuous periodic solution which attracts any bounded set exponentially.
In order to improve forecasting model accuracy of BP neural network, an improved prediction method of optimized BP neural network based on modified particle swarm optimization algorithm (PSO) was proposed. In this modified PSO algorithm, an adaptive mutation operator was proposed in PSO to change positions of the particles plunged in the local optimization. The modified PSO was used to optimize the...
In this paper, a fractional-order sliding mode controller is proposed to realize the finite-time stabilization of fractional order (FO) system. The FO systems are perturbed by model uncertainties and external disturbances. First, a new fractional non-singular terminal sliding surface with desired dynamics is proposed. Subsequently, on the basis of Lyapunov function and finite-time control theory,...
In this paper, we study the problem of path following control for a non-minimum phase vertical take-off and landing (VTOL) aircraft. To locate the point on the desired path that corresponds to the minimum distance between the aircraft's position and the desired path, the projection method is used. Thus the proposed controller, consisting of feed-forward and state-feedback, not only forces the VTOL...
In this work, the authors consider the applications of sliding mode controllers to the longitudinal flight dynamics of the benchmark system of scaled Yak-54 Unmanned Aerial Vehicle for executing maneuvers over full flight envelope. Control of unmanned aerial vehicle involves the problem of incomplete measurements, modeling uncertainties and external disturbances. Sliding mode control provides good...
Suppliers evaluation and selection is one of the most critical activities of purchasing management in a supply chain, because of the key role of suppliers' performance in achieving the objectives. And it is a multi-criteria decision-making in which the objectives are not equally important. Supplier evaluation and selection decisions are complicated by the fact that various criteria must be considered...
Seasonal adjustment plays a significant role in the analysis of current social and economic conditions, particularly in determining the stages of the business cycle at which the economy stands. Nowadays the most popular method for seasonal adjustment in time series forecasting is the X-12-ARIMA algorithm, etc. All of these methods are sophisticated and difficult to understand and not suitable for...
Using panel data and DK fixed regression, this paper empirically researches the relationship between the board of directors characteristics and internal control quality based on a dataset consisting of listed companies of both Shanghai stock exchange from 2008 to 2012. We find that the internal control quality is significantly inversely associated with general CEO duality, board size, board meetings...
Port competitiveness mainly depends on its profit. Port profit is affected by management measures. How to increase port competitiveness under the premise of the same port soft and hard environment is the main purpose for port managers. In order to meet the requirement, this paper takes three steps to build a benign competition relationship. Firstly, the indictors which influent the port profit are...
Considering the limited data of spare parts consumption and the stochastic and uncontrollable of the inducing factors, a new rolling forecasting model of grey least square support vector machine (LSSVM) is proposed through analyzing disadvantages of current spare parts consumption forecasting models. The new model not only develops the advantages of accumulation generation of the grey forecasting...
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