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Event-Triggered Synergistic Controllers with Dwell-Time Transmission

Xuanzhi Zhu, Pedro Casau, Carlos Silvestre

TL;DR

The paper addresses energy-efficient control of nonlinear plants by integrating event-triggered control with stabilizing synergistic controllers. It develops a deparametrization-based framework and geometric conditions to guarantee dwell-time transmission and global asymptotic stability, even with joint jumps due to controller and event updates. The authors prove dwell-time for deparametrized hybrid arcs and provide a Lyapunov-based global stability analysis, then demonstrate the approach on rigid body attitude stabilization with numerical simulations. The results offer a systematic methodology for combining event-triggered and synergistic control in networked robotics while avoiding Zeno behavior. The work also introduces a constructive path for extending these ideas to other hybrid controllers.

Abstract

We propose novel event-triggered synergistic controllers for nonlinear continuous-time plants by incorporating event-triggered control into stabilizing synergistic controllers. We highlight that a naive application of common event-triggering conditions may not ensure dwell-time transmission due to the joint jumping dynamics of the closed-loop system. Under mild conditions, we develop a suite of event-triggered synergistic controllers that guarantee both dwell-time transmission and global asymptotic stability. Through numerical simulations, we demonstrate the effectiveness of our controller applied to the problem of rigid body attitude stabilization.

Event-Triggered Synergistic Controllers with Dwell-Time Transmission

TL;DR

The paper addresses energy-efficient control of nonlinear plants by integrating event-triggered control with stabilizing synergistic controllers. It develops a deparametrization-based framework and geometric conditions to guarantee dwell-time transmission and global asymptotic stability, even with joint jumps due to controller and event updates. The authors prove dwell-time for deparametrized hybrid arcs and provide a Lyapunov-based global stability analysis, then demonstrate the approach on rigid body attitude stabilization with numerical simulations. The results offer a systematic methodology for combining event-triggered and synergistic control in networked robotics while avoiding Zeno behavior. The work also introduces a constructive path for extending these ideas to other hybrid controllers.

Abstract

We propose novel event-triggered synergistic controllers for nonlinear continuous-time plants by incorporating event-triggered control into stabilizing synergistic controllers. We highlight that a naive application of common event-triggering conditions may not ensure dwell-time transmission due to the joint jumping dynamics of the closed-loop system. Under mild conditions, we develop a suite of event-triggered synergistic controllers that guarantee both dwell-time transmission and global asymptotic stability. Through numerical simulations, we demonstrate the effectiveness of our controller applied to the problem of rigid body attitude stabilization.
Paper Structure (16 sections, 8 theorems, 20 equations, 2 figures, 1 table)

This paper contains 16 sections, 8 theorems, 20 equations, 2 figures, 1 table.

Key Result

Proposition 1

If a hybrid system $\mathcal{H}_{}:=(\mathcal{C}_{},\mathcal{F}_{},\mathcal{D}_{},\mathcal{G}_{})$ satisfies the hybrid basic conditions (cf. Goebel2012) and each $\phi_{}\in\mathcal{S}_{\mathcal{H}_{}}$ is precompact, then each $\phi_{}\in\mathcal{S}_{\mathcal{H}_{}}$ has a weak dwell-time if and o

Figures (2)

  • Figure 1: Comparison of our control strategy with those in Postoyan2015Zhu2021Chai2020 in terms of the evolution of $V_1$, where $V_1$ being below $c'$ implies $\xi_{}\in\mathcal{A}_{}$.
  • Figure 2: Comparison of our control strategy with those in Postoyan2015Zhu2021Chai2020 in terms of the evolution of the elapsed time between transmissions.

Theorems & Definitions (28)

  • Definition 1
  • Definition 2: Dwell-Time
  • Remark 1
  • Definition 3: Recursive Jump Maps
  • Remark 2
  • Proposition 1
  • proof
  • Proposition 2
  • proof
  • Definition 4: Deparametrization
  • ...and 18 more