4.6 Article

Dynamic Decentralized Periodic Event-Triggered Control for Wireless Cyber-Physical Systems

Journal

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 29, Issue 4, Pages 1783-1790

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2020.3016131

Keywords

Decentralized periodic event-triggered control (DPETC); dynamic event-triggered mechanism (ETM); hybrid system; smart water distribution systems; wireless cyber-physical system (CPS)

Funding

  1. Alan Turing Institute Data Centric Engineering (DCE) Programme - Lloyds Registry
  2. Engineering and Physical Sciences Research Council (EPSRC) Science for Sensor Systems Software (S4) Programme [EP/N007565/1]
  3. EPSRC [EP/N007565/1] Funding Source: UKRI

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This paper introduces the method of Dynamic DPETC (DDPETC) by adding dynamic variables to improve decentralized periodic event-triggered control systems, ensuring the dependence of control systems on local information, and improving system stability and performance. In specific implementation, controllers make control action decisions based on local sensor data, and the transmission of control actions is determined by ETMs.
This brief adds dynamic variables to decentralized periodic event-triggered control (DPETC), denoting dynamic DPETC (DDPETC) for wireless cyber-physical systems whose sensors are distributed and bandwidths are limited, and studies the stability and L-2-gain. In DDPETC, dynamic variables that require only local information are designed and added to the event-triggered mechanisms (ETMs). This dynamic variable can guarantee that the ETMs still be localized which does not require information from other nodes. For implementations with DDPETC, at each periodic sampling time the ETMs decide events based on new measurements from local sensors. Those measurements that trigger the events are transmitted to controllers, and after network transmission delays, they are received and the controller computes the control actions. The transmissions of these control actions from controllers to actuators are also decided by ETMs. The feasibility of the approach is shown via two examples. Numerical results show that, with the same stability and performance, DDPETC can save more than 40% events, making it more suitable for wireless cyber-physical systems.

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