Summary 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 one sampling period synchronized through novel two‐stage model‐based projection method. Different from centralized network, both layer‐to‐layer in‐layer communication, the packet delay, loss disordering corrected by predicted data model predictive control. Moreover, completely...

Abstract The conventional power generation system’s output automatic control structure is generally unidirectional, and the coverage small, leading to increase in random error obtained final test. Therefore, design research of this article are proposed. According current demand, system shall be stabilized first, compensation calculated. multi-step mode adopted improve structure. this, it constructed, processing realized using jump balance. test results show that compared with traditional...

Abstract In this article, a robust distributed economic model predictive control (DEMPC) approach is developed for plant‐wide chemical processes. The proposed achieves arbitrary feasible setpoints that may vary frequently, attenuates the effects of unknown disturbances and minimizes cost. approach, process represented as network units each unit controlled by an individual controller which shares optimization objective stability conditions through network. To ensure convergence variables to...

Intermittent fault is a special kind of form, which often occurs in industry processes but has been less studied. This study focuses on the distributed fault-tolerant model predictive control (DFTMPC) problem for an intermittent actuators or sensors. A novel state observer and DFTMPC controller integral framework are presented. The proposed system can both deal with unknown inputs compensate interconnected variables' estimation errors, achieving more accurate estimation. mode-switched...

The idea of emotions that is concealed in human language gives rise to metaphor. It challenging compute and develop a framework for people because its detachment diversity. Nonetheless, machine translation heavily relies on the modeling computation emotions. When emotion metaphors are calculated into translation, significantly more colorful satisfies translating criteria such as truthfulness, creativity beauty. Emotional metaphor often uses artificial intelligence (AI) detection patterns it...

For distributed control systems with intermittent sensor faults, a fault and state combined observer is designed, an switching mode strategy proposed to improve the convergence performance, then fault-tolerant model predictive designed based on observer. In observer, system matrices, estimation are computed in totally way some transition which can consider coupled states. The be more targeted. two modes: only estimation, both switched due absence or presence of faults. approach shown...

A PID-explicit model predictive control (EMPC) based on dual mode strategy is developed in this paper to deal with nonlinear processes. The basic algorithm of EMPC decomposes the controller optimization problem into two steps: offline calculate and online search, which can decrease calculation obtain explicit function law every state. It convenient for analyzing. traditional linearization-based system depends pre-established operating point. By idea control, adopts PID area while combining...

A parameterized network topology based distributed model predictive control (DMPC) framework is proposed in this work, it mainly applied system reconfiguration and sensor fault-tolerant control. The Lyapunov stability condition for DMPC with a derived. Regarding to reconfiguration, the served as explicit model. Furthermore, bias, used compensate fault, residual generator designed by states of predictor consider time varying threshold fault detection. approach able handle without backup...