We investigate a novel anytime algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using time-varying (Markovian) computation resources. The sensor-controller and controller-actuator channel states are spatial- and time-correlated and are modeled as a multi-state Markov process. We develop a novel cycle-cost-based approach to obtain conditions on the nonlinear plant, controller, network and computation resources that guarantee stochastic stability of the plant.

翻译：我们调查的是无线网络控制新颖的时空算法,使用随机辍学者。 控制器使用时间变化( Markovian)计算资源计算暂时的未来控制命令序列。 传感器控制器和控制器激活器频道状态与空间和时间孔相关,并模拟为多州马可夫进程。 我们开发了一种基于循环成本的新方法,以获取非线性工厂、控制器、网络和计算资源的条件,从而保证了该工厂的随机稳定性。