Collaborative distributed design for wireless control systems with Markovian‐type control network and distributed network‐induced time delays

Abstract

Summary In this paper, collaborative distributed dynamic output‐feedback control problem is investigated for a class of wireless control systems with Markovian‐type control network and distributed network‐induced delays. The network consists of a set of interconnected nodes characterized by a directed graph with an adjacency matrix that specifies space distribution (ie, interconnection topology). Each node of wireless control systems not only routes information but also performs its local control. We assume measurements and distributed network‐induced delays are subject to two independent Markovian chains. It is shown that the collaborative distributed dynamic output‐feedback approach offers better performances compared with noncollaborative distributed control approach. An irrigation canal system is used to demonstrate practical potentials of the developed control strategy.

Distributed adaptive event-triggered iterative learning controller based on a filtering network

“…Remark 1. It should be pointed out that in the distributed control algorithm studied by Wen et al (2018), the measurement model ignores the measurement noise. In fact, sensor measurement noise is widespread and cannot be ignored, especially for certain control systems that require high measurement accuracy.…”

“…We assume that the control system has four input canal branches, where the branch water flows into the controlled water area through the actuator node, and the main water level of the system is determined by two different regional water levels. Readers can refer to the work of Negenborn and De Schutter (2008) and Wen et al (2018) to learn more about the detailed modeling of irrigation canal state space.…”

Neural‐network‐based distributed security filtering for networked switched systems

“…The acquisition and transmission of information becomes more flexibly and effectively than centralized filtering. Up to now, many relevant results have been proposed for distributed control or filtering 23‐25 . In 20 , two distributed network channel transmissions are considered for switched systems among the system states and the switching signals.…”