ABSTRACT
This chapter suggests the methods for optimal static communication scheduling in a Network Control Systems (NCS). The integration challenge is the design of a particular scheduling policy that not only guarantees schedulability of the overall NCS but also minimizes the performance degradation caused by the network. A quadratic cost function for the NCS is constructed and a cost is given by solving a Lyapunov function. Controllers, sensors and actuators are spatially distributed, and the limited communication medium is represented by a shared bus. The chapter considers the communication scheduling optimization problem for a given plant and controller. Integrating dynamical systems in an optimal way is the design of optimal schedules to orchestrate the communication between the systems' components. In computer science, scheduling is often seen as a way to ensure that tasks meet their deadlines. In real-time control systems, the scheduler becomes part of the dynamics of the system.
