Explicit Computation of Sampling Period in Periodic Event-Triggered Multiagent Control Under Limited Data Rate

Yu, Ping; Dimarogonas, Dimos V.

doi:10.1109/tcns.2018.2889012

Cited by 23 publications

(21 citation statements)

References 35 publications

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“…The constant ε i is determined by hardware constraints [3], and ensures the exclusion of Zeno phenomena. In the networkfree case [7], ε i ≡ 0 and 0 < h i j ≤ T i in Assumption 2. Note that the MASP and MAD are design parameters and will be upper bounded in Subsection V-C.…”

Section: B Information Transmission Over Multiple Networkmentioning

confidence: 99%

“…Therefore, the main challenge is how to design the control scheme to limit the effects of the aforementioned network-induced issues and to achieve the desired performances while keeping the information transmission as minimal as possible. One suitable approach in this context is periodic event-triggered control (PETC) [5]- [7], combining time-triggered control (TTC) [8], [9] and event-triggered control (ETC) [10]- [12]. The PETC allows the triggering condition to be evaluated with a predefined sampling period to decide the information transition, and leads to a balance between TTC and ETC by avoiding the continuous evaluation of the triggering condition [5], [7].…”

Section: Introductionmentioning

confidence: 99%

“…One suitable approach in this context is periodic event-triggered control (PETC) [5]- [7], combining time-triggered control (TTC) [8], [9] and event-triggered control (ETC) [10]- [12]. The PETC allows the triggering condition to be evaluated with a predefined sampling period to decide the information transition, and leads to a balance between TTC and ETC by avoiding the continuous evaluation of the triggering condition [5], [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tracking Control of Networked and Quantized Control Systems

Ren

Xiong

2018

2018 IEEE Conference on Decision and Control (CDC)

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This paper studies the tracking control problem of networked and quantized control systems under both multiple networks and event-triggered mechanisms. Multiple networks are to connect the plant and reference system with decentralized controllers to guarantee their information transmission, whereas event-triggered mechanisms are to reduce the information transmission via multiple networks. In this paper, all networks are independent and asynchronous and have local event-triggered mechanisms, which are based on local measurements and determine whether the local measurements need to be transmitted. We first implement an emulation-based approach to develop a novel hybrid model for tracking control of networked and quantized control systems. Next, sufficient conditions are derived and decentralized event-triggered mechanisms are designed to ensure the tracking performance. Finally, a numerical example is given to illustrate the obtained results.

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Section: B Information Transmission Over Multiple Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tracking Control of Networked and Quantized Control Systems

Ren

Xiong

2018

2018 IEEE Conference on Decision and Control (CDC)

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“…The main challenge in cooperative control is how to design control schemes to limit transmission delays and packet dropouts to avoid the deterioration of the desired performances and to achieve certain agreement for multiple agents by exploiting information from each agent and its neighbors. One attractive approach in this context is periodic event-triggered control (PETC) [7]- [9], combining time-triggered control (TTC) This work was supported by the H2020 ERC Starting Grant BUCOPHSYS, the EU H2020 Co4Robots Project, the H2020 ERC Consolidator Grant LEAFHOUND, the Swedish Foundation for Strategic Research (SSF), the Swedish Research Council (VR) and the Knut och Alice Wallenberg Foundation (KAW).…”

Section: Introductionmentioning

confidence: 99%

“…(where the information is transmitted at discrete sampling instants [10], [11]) and event-triggered control (ETC) (where the information is transmitted only when the triggering condition is satisfied [12]- [14]). The PETC allows the triggering condition to be evaluated with a predefined sampling period to decide the information transition, and leads to a balance between TTC and ETC by avoiding the continuous evaluation of the triggering condition [7], [9].…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Tracking Control of Networked Multi-Agent Systems

Ren¹,

Dimarogonas²

2022

Preprint

Self Cite

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This paper studies the tracking control problem of networked multi-agent systems under both multiple networks and event-triggered mechanisms. Multiple networks are to connect multiple agents and reference systems with decentralized controllers to guarantee their information transmission, whereas the event-triggered mechanisms are to reduce the information transmission via the networks. In this paper, each agent has a network to communicate with its controller and reference system, and all networks are independent and asynchronous and have local event-triggered mechanisms, which are based on local measurements and determine whether the local measurements need to be transmitted via the corresponding network. To address this scenario, we first implement the emulation-based approach to develop a novel hybrid model for the tracking control of networked multi-agent systems. Next, sufficient conditions are derived and decentralized event-triggered mechanisms are designed to guarantee the desired tracking performance. Furthermore, the proposed approach is applied to derive novel results for the event-triggered observer design problem of networked multiagent systems. Finally, two numerical examples are presented to illustrate the validity of the developed results.

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Event-Triggered Control for Multi-Agent Systems: Event Mechanisms for Information Transmission and Controller Update

Xiao

Wei

2021

J Syst Sci Complex

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This paper investigates the state consensus of linear multi-agent systems in a graph where each agent is equipped with two novel event-triggering mechanisms. Each agent utilizes them to avoid continuous information transmissions with its neighbors and to reduce the frequencies of controller updates, respectively. One of the event-triggering mechanisms defines a threshold of state errors by a constant plus a state-dependent variable. The other event-triggering mechanism introduces a period of rest time after each event. For each agent, both event-triggering mechanisms are fully distributed and are independent of any global information. The authors utilize a co-design approach to deal with the interplay between control gains and parameters in event-triggering mechanisms. With appropriate control gains in control laws and parameters in event-triggering conditions, subsystems employing discrete-time signals from neighbors and discrete-time signals from their controllers achieve the state consensus. Simulations are performed to illustrate the effectiveness of the proposed event-triggering mechanisms.

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Explicit Computation of Sampling Period in Periodic Event-Triggered Multiagent Control Under Limited Data Rate

Cited by 23 publications

References 35 publications

Tracking Control of Networked and Quantized Control Systems

Tracking Control of Networked and Quantized Control Systems

Event-Triggered Tracking Control of Networked Multi-Agent Systems

Event-Triggered Control for Multi-Agent Systems: Event Mechanisms for Information Transmission and Controller Update

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