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Journal ArticleDOI

Event-Triggered Composite Control of a Two Time Scale System

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TLDR
The theory of singular perturbation is used to decouple the system into slow and fast subsystems, and stability of the system is established and the proposed control strategy guarantees convergence of system states to an adjustable region around origin excluding the Zeno behavior.
Abstract
This brief proposes an event-triggered composite control of a two time scale system. A periodic sampling requirement is relaxed and both slow and fast states of the system decide independently when transmitting their current measurements based on a time-dependent triggering rule. The distinct feature of this scheme is that it does not require synchronized measurement updates of its slow and fast dynamics. Further, the theory of singular perturbation is used to decouple the system into slow and fast subsystems, and stability of the system is established. The proposed control strategy guarantees convergence of system states to an adjustable region around origin excluding the Zeno behavior. Simulation results manifest the effectiveness of the proposed approach.

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Citations
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Journal ArticleDOI

Adaptive Event-Triggered Output Feedback Control for Nonlinear Switched Systems Based on Full State Constraints

TL;DR: In this paper , a novel event-triggered adaptive fuzzy output feedback control scheme was proposed for tracking control for a class of nonlinear uncertain switched systems including full state constraints.
Journal ArticleDOI

Guaranteed Cost for an Event-Triggered Consensus Strategy for Interconnected Two Time-Scales Systems With Structured Uncertainty

TL;DR: In this article , two Zeno-free event-triggered mechanisms are designed to independently decide the sampling and transmission instants for the slow and fast states, respectively, in order to ensure that consensus is achieved with an overall guaranteed cost.
Proceedings ArticleDOI

Periodic Event triggered Control of Singularly Perturbed systems

TL;DR: In this paper, the authors proposed a periodic event-triggered control of singularly perturbed systems, where state variables are sampled at their natural frequency avoiding oversampling of slow variables.
Proceedings ArticleDOI

Event-trigger Control of Discrete Two-time Scale System by Leveraging its Intrinsic Properties

TL;DR: This work proposes an event-trigger theory which leverages the physical property of discrete two-time scale system to reduce the requirement of network bandwidth.
References
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Journal ArticleDOI

Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks

TL;DR: This note investigates a simple event-triggered scheduler based on the paradigm that a real-time scheduler could be regarded as a feedback controller that decides which task is executed at any given instant and shows how it leads to guaranteed performance thus relaxing the more traditional periodic execution requirements.
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Event-based broadcasting for multi-agent average consensus

TL;DR: A novel control strategy for multi-agent coordination with event-based broadcasting is presented, in which each agent decides itself when to transmit its current state to its neighbors and the local control laws are based on these sampled state measurements.
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Brief paper: A state-feedback approach to event-based control

TL;DR: An upper bound of the difference between both loops is derived, which shows that the approximation of the continuous state-feedback loop by the event-based control loop can be made arbitrarily tight by appropriately choosing the threshold parameter of the event generator.
Journal ArticleDOI

Network-Induced Constraints in Networked Control Systems—A Survey

TL;DR: The main methodologies suggested in the literature to cope with typical network-induced constraints, namely time delays, packet losses and disorder, time-varying transmission intervals, competition of multiple nodes accessing networks, and data quantization are surveyed.
Journal ArticleDOI

Analysis of event-driven controllers for linear systems

TL;DR: This paper considers an event-driven control scheme for perturbed linear systems that triggers the control update only when the tracking or stabilization error is large, so that the average processor and/or communication load can be reduced significantly.
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