We investigate a novel anytime control algorithm for wireless networked control with random dropouts. The controller computes sequences of tentative future control commands using time-varying (Markovian) computational resources. The sensor-controller and controller-actuator channel states are spatial- and time-correlated, and are modeled as a multi-state Markov process. To compensate for the effect of packet dropouts, a dual-buffer mechanism is proposed. We develop a novel cycle-cost-based approach to obtain the stability conditions on the nonlinear plant, controller, network and computational resources.
翻译:我们调查的是无线网络控制新颖的时空控制算法,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焦点相关,并被模拟为多州马可夫进程。 为了补偿包包退出的影响,我们提议了一个双重缓冲机制。 我们开发了一个基于循环成本的新方法, 以获得非线性工厂、控制器、网络和计算资源的稳定性条件。