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Cardiovascular variables such as heart rate (HR) and blood pressure (BP) are regulated by an underlying control system, and therefore, the time series of these vital signs exhibit rich dynamical patterns of interaction in response to external perturbations (e.g., drug administration), as well as pathological states (e.g., onset of sepsis and hypotension). A question of interest is whether “similar”...
This paper presents a novel robust dynamic feedback control algorithm, using a hybrid extended Kalman filter based fusion of distance from odometer and attitude from IMU developed for the all-terrain, skid-steered and six-wheeled drive vehicle. The vehicle is a teleoperated unmanned ground vehicle custom fitted with an inertial measurement unit, motor encoders and a GPS. In order to enable the vehicle...
This paper studies distributed containment control for second-order multi-agent systems. An impulsive control algorithm without using velocity information is developed to achieve containment control with multiple leaders. Some sufficient and necessary conditions are obtained to achieve the containment control asymptotically. The final states of all followers converge into the convex hull formed by...
BP neural network (back propagation neural network) is a mathematical model for machine learning. It has a strong advantage in terms of prediction of the future events, and taking into account the different applications, its impact factors are different, which makes the model complex and diverse. A general modeling approach is proposed, which creates and stores BP neural network model dynamically,...
Hybrid networks, which combine the flexibility of packet-switched network and the low-latency of circuit-switched network, provide decent performance. However, users are obligated to maintain the configuration of temporary circuit-switched connection. In this paper, we propose Dynamic Bypass Circuit, a novel architecture which reconfigures a mesh network according to the traffic trends of applications...
First of all, the concept of ODRM would be offered, and In order to meet the requirements of ODRM, This thesis would analyze Relation Space-Time Tree Model of digital watermarking; Then put forward the probability algorithm of digital watermark's relationship, noted the relationship of digital watermark by calculating the correlative coefficients of two-dimensional random variable. The algorithm would...
This paper considers a dynamic pricing problem for selling a given stock of a perishable product over a finite time horizon. We model the uncertain demand as random fuzzy variable and study the pricing problem in a random fuzzy environment. The retailer's dynamic pricing problem is formulated as three types of random fuzzy programming models-expected revenue maximization model, (α, β)-revenue...
Base on fuzzy decision algorithm, a multi-agents cooperation strategy for the soccer robot is presented to overcome the difficulty in establishing a precise model for the decision-making subsystem of robot in the case, when robot player is in dynamic environment, and the applied condition and computing course are given. The battle formation and the role of each robot can be changed dynamically depending...
A new deadlock-free dynamic routing algorithm is proposed for wormhole-switched network-on-chip. Introducing the concept of multilevel congestion-aware mechanism which conveys more accurate feedback information about network congestion status than the DyAD routing, the proposed algorithm adopt proper routing algorithm to forward packets according to the current congestion level. Simulation results...
An optimization algorithm is presented for geometric nonlinear analysis of the rigid frame. The principal character of the optimization algorithm is that the equilibrium state with large deformation is chosen as the study object. The endpoint coordinates are given by means of coordinate recursion formulae. The objective function is defined, and the dynamic design variable is unknown endpoint coordinates...
The thesis presented a heterogeneous players strategy using in RoboCup. The strategy used fuzzy evaluation to obtain the evaluation results of all heterogeneous players on various roles, and constructed a fuzzy inference system to dynamically select equal heterogeneous players for various roles. The simulation experiments and competition results show the application is feasible and effective.
The coordinated attack strategy that plenty of sub-munitions attack multiple targets is one of key technologies in the networked smart sub-munitions studies. The distance and the encounter angle are the two main influence factors in the sub-munitions allocation. The decision-making model of coordinated attack strategy is built. The ant colony algorithm for the coordination attack strategy of sub-munitions...
Ant colony algorithm is a new simulation-biological evolution algorithm. ACA Applications in the logistics distribution system were analyzed. During the process of constructing the logistics distribution system, logistics center location was optimized by ACA, which guarantees highly effective logistics supply. Logistics route optimization offers the optimization route of goods transportation. And...
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