An energy-balanced multiple-sensor collaborative scheduling is proposed for maneuvering target tracking in wireless sensor networks (WSNs). According to the position of the maneuvering target, some sensor nodes in WSNs are awakened to form a sensor cluster for target tracking collaboratively. In the cluster, the cluster head node is selected to implement tracking task with changed sampling interval. The distributed interactive multiple model (IMM) filter is employed to estimate the target state. The estimation accuracy is improved by collaboration and measurement information fusion of the tasking nodes. The balanced distribution model of energy in WSNs is constructed to prolong the lifetime of the whole network. In addition, the communication energy and computation resource are saved by adaptively changed sampling intervals, and the real-time performance is satisfactory. The simulation results show that the estimation accuracy of the proposed scheme is improved compared with the nearest sensor scheduling scheme (NSSS) and adaptive sensor scheduling scheme (ASSS). Under satisfactory estimation accuracy, it has better performance in saving energy and energy balance than the dynamic collaborative scheduling scheme (DCSS).
We present new stability criteria for networked control systems with time-varying transmission delays and transmission intervals.The accumulating transmission delays are described as potential input delays.Also,the impulsive effects of the networked control system are analyzed in detail.We propose a new discontinuous Lyapunov functional method to exploit the impulsive effects of feedback signals and input delays and their associated time derivatives;this method leads to reduced conservatism of the derived exponential stability criteria and the corresponding controller design method.A numerical example is presented to verify the effectiveness of our proposed approach.
A method for positive polynomial validation based on polynomial decomposition is proposed to deal with control synthesis problems. Detailed algorithms for decomposition are given which mainly consider how to convert coefficients of a polynomial to a matrix with free variables. Then, the positivity of a polynomial is checked by the decomposed matrix with semidefinite programming solvers. A nonlinear control law is presented for single input polynomial systems based on the Lyapunov stability theorem. The control synthesis method is advanced to multi-input systems further. An application in attitude control is finally presented. The proposed control law achieves effective performance as illustrated by the numerical example.
We investigate the issue of synchronizing a blinking coupling mobile agent network through a blinking adaptation strategy,where each agent with blinking wave emission behavior not only adjusts its blinking period according to the local property of its neighbors,but also coordinates its blinking phase with those of neighboring agents.In leading the agents to blink orderly with a blinking period commensurate with the characteristic time of the dynamical oscillator,the presented blinking adaptation strategy works effectively in guaranteeing the synchronous motion of the considered network when the power density is large.In addition,the influence of the controlling parameter and moving velocity on network evolution is studied by assessing the convergence time.
