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This paper considers distributed coordinated control for multi-agent systems composed of multiple heterogeneous leaders and a class of uncertain nonlinear systems with external disturbances. What makes our problem more interesting and challenging is that the control direction of each nonlinear subsystem is unknown. Inspired by output regulation theory, based on the distributed internal model technique,...
Soft tissue deformation is an important part of virtual surgery simulation systems. Real-time and realistic simulation of soft tissue deformation in humans is crucial for virtual surgery simulation systems. Soft tissue deformation simulation mainly applies a linear and viscoelastic biomechanical model, however, this model loses numerous properties of soft tissue. As a consequence, a realistic representation...
This paper studies the leader-following rendezvous with connectivity preservation problem for multiple double integrator systems subject to external disturbances via a self-tuning adaptive distributed observer approach. This approach offers two advantages over the existing approach. First, it removes the existing assumption that all the followers know the system matrix of the leader system. Second,...
We present a new image in painting method based on exemplar-based image in painting idea by Curvature-Driven Diffusion (CDD) model in this paper. This method improves effectiveness and the linear structure propagation by rational confidence and data computing method. Therefore, our method can effectively prevent the "garbage" from producing during the process of in painting, which is a common...
This paper offers a system dynamics method to analyze competition of China's domestic airline courses between main cities which are operated by only two main airlines. The model highlights four factors that affect purchase behavior: price, safety impression, service quality, punctuality rate and define the concept of airline's total impression based on the latter three factors. Real data is collected...
Spiking neurons and spiking neural circuits are finding uses in a multitude of tasks such as robotic locomotion control, neuroprosthetics, visual sensory processing, and audition. The desired neural output is achieved through the use of complex neuron models, or by combining multiple simple neurons into a network. In either case, a means for configuring the neuron or neural circuit is required. Manual...
This paper bases on the feature of the lathe processing, by analyzing the related technology of numerical control machining simulation in virtual manufacturing, a numerical control machining simulation system is studied through modeling the 3D geometry model and machining process simulation model. Based on OpenGL displaying mechanism, the system is developed taking the example of some Turning part...
The problem of concept drift is of increasing importance to data mining as more and more data is organized in the form of data streams rather than static database, and it is rather unusual that concepts and data distribution stay stable over time. In this paper, we model the concept drift as the changes of the optimal parameters of the discriminative model. By employing the extended Kalman filter...
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