Robust control algorithm and simulation of networked control systems

The network control system has low cost, resource sharing, remote operation and control,it also has high diagnostic capabilities and is easy to install and maintain. This can effectively reduce the weight and volume of the system, and increase the flexibility and reliability of the system. Therefore, it is widely used in equipment manufacturing, industrial automation, aerospace and medical care. However, the introduction of the network has brought a lot of new uncertainties, such as packet loss, delay, etc., which pose new challenges to the classic control problem. Therefore, this study combines the robust control theory to reasonably model the network control system. By introducing various performance indicators, the robustness and stability of the system are studied in coordination, and the internal relationship between performance indicators and network factors is established. This study also focuses on reducing the conservativeness of the results, and proposes new stability conditions and controller design methods for networked control systems. By using an improved time-delay system analysis method to derive the sufficient conditions for the existence of robust guaranteed-performance controllers, the parameters of the sub-optimal performance controller parameters are solved by the algorithm.