Intermittent actuator and sensor faults tolerant are simultaneously considered in a distributed control system with imperfect communication network. The asynchronous measurements of different output variables in one sampling period are synchronized through a novel two‐stage model‐based projection method. Different from centralized control network, in both layer‐to‐layer and in‐layer communication, the packet delay, loss and disordering are corrected by the predicted data from model predictive control. Moreover, a completely distributed state observer is established for both system states and sensor faults problem with bounded noise uncertainties. For the intermittent actuator faults, actuator plug‐and‐play design methods based on model predictive control has been introduced, making the actuator faults estimation omitted. The distributed stability conditions are derived for the proposed fault‐tolerant controller, and the online feasibility is explained in detail. Numerical simulation is given to verify the design procedure.

中文翻译：

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具有不完善的网络通信和异步测量的基于观察者的协作分布式容错模型预测控制

在通讯网络不完善的分布式控制系统中，会同时考虑间歇性执行器和传感器的容错能力。通过一种新颖的基于模型的两阶段投影方法，可以在一个采样周期内对不同输出变量的异步测量进行同步。与集中控制网络不同，在层到层和层内通信中，数据包的延迟，丢失和混乱都可以通过模型预测控制中的预测数据进行校正。此外，针对系统状态和具有有限噪声不确定性的传感器故障问题，建立了一个完全分布式的状态观察器。对于间歇性执行器故障，引入了基于模型预测控制的执行器即插即用设计方法，从而省略了执行器故障估计。推导了所提出的容错控制器的分布式稳定性条件，并详细解释了在线可行性。通过数值仿真验证了设计过程。