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Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels

机译:具有国家依赖无线衰落通道的工厂自动化安全高效网络控制系统的共同设计

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摘要

In factory automation, heterogeneous manufacturing processes need to becoordinated over wireless networks to achieve safety and efficiency. Thesewireless networks, however, are inherently unreliable due to shadow fadinginduced by the physical motion of the machinery. To assure both safety andefficiency, this paper proposes a state-dependent channel model that capturesthe interaction between the physical and communication systems. By adoptingthis channel model, sufficient conditions on the maximum allowable transmissioninterval are then derived to ensure stochastic safety for a nonlinear physicalsystem controlled over a state-dependent wireless fading channel. Under thesesufficient conditions, the safety and efficiency co-design problem isformulated as a constrained cooperative game, whose equilibria representoptimal control and transmission power policies that minimize a discountedjoint-cost in an infinite horizon. This paper shows that the equilibria of theconstrained game are solutions to a non-convex generalized geometric program,which are approximated by solving two convex programs. The optimality gap isquantified as a function of the size of the approximation region in convexprograms, and asymptotically converges to zero by adopting a branch-boundalgorithm. Simulation results of a networked robotic arm and a forklift truckare presented to verify the proposed co-design method.
机译:在工厂自动化中,异构制造过程需要转向无线网络以实现安全性和效率。然而,由于由机器的物理运动逐渐消失,这些网络是固有的不可靠性。为了确保安全性低下,本文提出了一种国家依赖的信道模型,即物理和通信系统之间的互动。通过采用通道模型,然后导出最大允许传输过程中的充分条件,以确保在状态相关的无线衰落信道上控制非线性物理系统的随机安全性。在基因出的条件下,安全性和效率的共同设计问题是一个受限制的协作游戏,其平衡代价偏见控制和传输功率策略最小化无限地平线中的折扣平息。本文表明,Thecontrain游戏的均衡是对非凸遍的几何程序的解决方案,其通过求解两个凸面来近似。优化差距作为凸编程中的近似区域的大小的函数,并且通过采用分支拨出算法而渐近地收敛到零。网络机器人臂的仿真结果和提出的叉车卡路里验证了所提出的共设计方法。

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