Gene

Detector

Control (management)

Engineering

Biology

Control system

Control engineering

Telecommunications

Biochemistry

Computer science

Manufacturing engineering

Controller (irrigation)

Mathematics

Quadratic equation

Sampling (signal processing)

Agronomy

Synchronization (alternating current)

Transcription factor

Artificial intelligence

Geometry

Sawtooth wave

Repressor

Chemistry

Channel (broadcasting)

Operator (biology)

Control theory (sociology)

Industrial control system

Electrical engineering

IEEE Transactions on Industrial Electronics

In this paper, intelligent devices in industrial manufacturing are modeled as the nodes in the network systems. The sampled-data control is adopted to guarantee the synchronization of the network systems. The proposed sampled-data control strategy can reduce the updating frequency of the controller and the network communication burden. The closed-loop system is equivalently rewritten as the feedback interaction of a linear time-invariant system and a time-delay operator. The small gain theorem is utilized to calculate the upper bound of the sampling intervals. Furthermore, the integral quadratic constraints can provide the passivity-type property of the operator and give less-conservative results. Moreover, in order to further use the information about the sampling pattern and sawtooth structure, the time-delay integral operator is replaced by sample-data integral operator, and less-conservative results are proposed. Finally, the effectiveness of the proposed sampled-data distributed control strategy is demonstrated by a numerical example.

Sampled-Data Control of Network Systems in Industrial Manufacturing