There are currently several ways of wireless access to support vehicular communication, including vehicular ad-hoc networks (VANETs) and cellular networks (off-the-shelf 3G and LTE). It is necessary to make a seamless...
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ISBN:
(纸本)9781479944484
There are currently several ways of wireless access to support vehicular communication, including vehicular ad-hoc networks (VANETs) and cellular networks (off-the-shelf 3G and LTE). It is necessary to make a seamless handover decision to guarantee quality of service (QoS) of communications for a vehicle moving in the regions covered by more than one access networks. In this paper, we provide a performance guaranteed optimized handover decision algorithm. With this algorithm, the communication of vehicles can handover through heterogeneous wireless access networks not only to reach overall load balance among all access points, but also to maximize the data rate of the whole networks as well as the vehicles' fairness. In addition, in the process of decision making, the data rate of handover vehicles is estimated. Simulations are performed to demonstrate the efficiency of the proposed algorithm.
In this paper, we investigate robot failure problem in mobile robot formation. A recursive and distributed self-healing algorithm is proposed to restore network topology when one or more robots fail. Firstly, a switch...
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Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we consider SN P systems with the re...
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Model predictive control (MPC) has attracted wide attention in process industries with its ability to handle constrained multivariable processes. Computational complexity can become a limiting factor when MPC is appli...
Model predictive control (MPC) has attracted wide attention in process industries with its ability to handle constrained multivariable processes. Computational complexity can become a limiting factor when MPC is applied to large-scale systems with fast sampling times. In this paper, a control scheme known as multi-step robust MPC is presented for polytopic uncertain multi-input systems. Only one or several state feedback laws are optimized at each time interval to reduce computational complexity. A set invariance condition for polytopic uncertain systems is identified and the invariant set is determined by solving a linear matrix inequality (LMI) optimization problem. Based on the set invariance condition, a min-max multi-step robust MPC scheme is proposed. Numerical simulations show the effectiveness of the proposed scheme.
Elliptical orbit and squint mode are widely used in the system design of geosynchronous synthetics aperture radar (GEO SAR) to improve the coverage performance. In this paper, the effects of orbit height variation and...
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Elliptical orbit and squint mode are widely used in the system design of geosynchronous synthetics aperture radar (GEO SAR) to improve the coverage performance. In this paper, the effects of orbit height variation and squint mode to pulse repetition frequency (PRF) design are analyzed. The orbit height variation causes the variation of nadir interference and beam illumination region, and squint mode produces large range cell migration (RCM). These can induce invalidations of the designed PRF. Based on this, the constraints of nadir interference and transmit interference are updated for GEO SAR, and the effective time for the designed PRF is derived. PRF number required for imaging in one orbital period is analyzed.
In this paper, a multi-time scale hierarchal model predictive control strategy is proposed to optimize energy management problem of a microgrid with multiple smart users. According to the power flow among different en...
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In this paper, a multi-time scale hierarchal model predictive control strategy is proposed to optimize energy management problem of a microgrid with multiple smart users. According to the power flow among different energy modules, a hierarchical system model and a multi-time scale hierarchal energy optimization management problem are established. The centralized controller in the upper layer is to optimize the charge/discharge time and energy of storage devices, controllable supply power adjustment and dispatch of the aggregators. The optimization problem in the lower layer is to meet users' demands in real time. Meanwhile, in order to improve the disturbances caused by the randomness of renewable energy and variant loads, a multi-time scale optimization scheme is applied. At the slow scale, the upper optimization problem is solved, and the optimal energy scheduling in the long-term can be achieved. At the fast scale, the energy balance between supply and demand of smart users can be realized in the short-term. Finally, simulation results illustrate the effectiveness of proposed method.
This paper proposes a hierarchical control structure based on model predictive control to address the vibration suppression of flexible manipulators under the dynamic constraints. Due to the coupling relationship betw...
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This paper proposes a hierarchical control structure based on model predictive control to address the vibration suppression of flexible manipulators under the dynamic constraints. Due to the coupling relationship between the trajectory and the flexible vibration, it provides a solution to vibration reduction if the trajectory can be rationally planned. In the decision layer, an optimal reference trajectory is planned with consideration of the dynamic constraints to ensure the manipulator to locate at the desired position as soon as possible and the reduced flexible vibration is suppressed during the movement. In the execution layer, the tracking controller is designed to minimize a quadratic performance index of the prediction error. Simulations for a single-link flexible manipulator are performed to validate the proposed controllers.
The network resource grows up exponentially with the rapid development of Internet. It is very important to identify whether the resources belong to the professional field or not. However, resources in professional fi...
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In this paper,trajectory tracking control of hard rock Tunnel Boring Machine (TBM) is studied with a cascade control *** TBM thrust hydraulic system can adjust position and orientation during tunnel *** model of thrus...
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ISBN:
(纸本)9781479946983
In this paper,trajectory tracking control of hard rock Tunnel Boring Machine (TBM) is studied with a cascade control *** TBM thrust hydraulic system can adjust position and orientation during tunnel *** model of thrust hydraulic system and the compound control technique of thrust hydraulic system are *** order to realize trajectory tracking control,the dynamic model of TBM has been *** model provides a foundation for the trajectory tracking control of TBM *** and orientation controller of TBM have been designed and the controller calculates the force of thrust hydraulic *** compound controller of thrust hydraulic system produces the designed *** effectiveness of the proposed methods is shown by illustrative example.
In this work, a new approach to design constrained distributed MPC is proposed for linear parameter varying (LPV) systems subject to saturating actuator and state delay. Polytopic type uncertainty and only one state d...
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ISBN:
(纸本)9781479932757
In this work, a new approach to design constrained distributed MPC is proposed for linear parameter varying (LPV) systems subject to saturating actuator and state delay. Polytopic type uncertainty and only one state delay are considered in this paper. The algorithm requires decomposing the whole system into M subsystems and solving M linear matrix inequality (LMI) optimization problems for each subsystem. An iterative online algorithm for constrained distributed MPC is developed to coordinate the distributed controllers. The algorithm is a flexible structure of robust control, which allows the independent computation of the state feedback laws for the subsystems. A numerical example is simulated to show the effectiveness of the constrained distributed MPC algorithm.
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