Event-predictive control for energy saving of wireless networked control system

Iino, Yutaka; Hatanaka, Takeshi; Fujita, Masayuki

doi:10.1109/acc.2009.5160732

Cited by 28 publications

(15 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Event-driven strategies for multi-agent are presented in [4], [5], while stochastic event-triggered strategies regarding sensing and actuation for networked control systems have been stated in [18]. More recently, a new concept of event-predictive control for energy saving of wireless networked control systems has appeared, [8]. An alternative approach to event-driven control, for perturbed linear systems can be found in [6].…”

Section: Introductionmentioning

confidence: 99%

Event-triggered control for discrete-time systems

Eqtami

Dimarogonas

Kyriakopoulos

2010

Proceedings of the 2010 American Control Conference

309

242

View full text Add to dashboard Cite

Abstract-In this paper, event-triggered strategies for control of discrete-time systems are proposed and analyzed. Similarly to the continuous-time case, the plant is assumed input-tostate stable with respect to measurement errors and the control law is updated once a triggering condition involving the norm of a measurement error is violated. The results are also extended to a self-triggered formulation, where the next control updates are decided at the previous ones, thus relaxing the need for continuous monitoring of the measurement error. The overall framework is then used in a novel Model Predictive Control approach. The results are illustrated through simulated examples.

show abstract

Section: Introductionmentioning

confidence: 99%

Event-triggered control for discrete-time systems

Eqtami

Dimarogonas

Kyriakopoulos

2010

Proceedings of the 2010 American Control Conference

309

242

View full text Add to dashboard Cite

show abstract

“…Reference [8] proposed a new method for event-based state-feedback control in which a control input generator mimicked a continuous feedback between two consecutive event times. In order to save energy, a novel event-predictive control for wireless networked control systems was proposed in [9]. Reference [10] addressed the event-triggering in the distributed networked systems with data dropouts and delays.…”

Section: Introductionmentioning

confidence: 99%

Uniformly ultimate boundedness event-triggered control for discrete-time uncertain linear parameter-varying systems

Sauter

2014

Proceedings of the 33rd Chinese Control Conference

View full text Add to dashboard Cite

This paper addresses the co-design problem of event generator and controller for linear parameter varying systems where the parameters are not exactly known, but only estimated parameters satisfying certain uncertainty level is known. By applying a Lyapunov function and a set of linear matrix inequalities, a suf¿cient stability condition in the sense of globally uniformly ultimate boundedness is ¿rstly established. Based on the suf¿cient stability condition, the co-design of corresponding event-triggered controller and more general mixed event-triggering condition is further presented. The effectiveness of the proposed method is illustrated by using a numerical example.

show abstract

“…An optimal control strategy is applied to optimize the control period. In [22], event-predictive control for power saving of wireless networked control system is discussed. The key idea is to save power by maximizing the control interval with constrains of appropriate control performance.…”

Section: Introductionmentioning

confidence: 99%

Joint Design of Control and Power Efficiency in Wireless Networked Control System

Wang

2014

Mathematical Problems in Engineering

View full text Add to dashboard Cite

This paper presents a joint design method for wireless networked control system (WNCS) to balance both the demands of network service and the control performance. Since the problems of power consumption, communication reliability, and system stability exist simultaneously and interdependently in WNCS, most of the achieved results in the wireless network and wired networked control system cannot be used directly. To coordinate the three problems, sampling period is found to be the linking bridge. An adaptive sampling power efficiency algorithm is proposed to manage the power consumption such that it can meet the demands of network life span. The sampling period is designed to update periodically on the constraints of network schedulability and system stability. The convergence of the power efficiency algorithm is further proved. The sampling period is no longer a fixed value, however; thus, increasing the difficulty in modeling and controlling such a complicated time-varying system remains. In this work, a switched control system scheme is applied to model such a WNCS, and the effect of network-induced delay is considered. Switched feedback controllers are introduced to stabilize the WNCS, and some considerations on stability condition and the bounds of the update circle for renewing sampling period are discussed. A numerical example shows the effectiveness of the proposed method.

show abstract

Event-predictive control for energy saving of wireless networked control system

Cited by 28 publications

References 7 publications

Event-triggered control for discrete-time systems

Event-triggered control for discrete-time systems

Uniformly ultimate boundedness event-triggered control for discrete-time uncertain linear parameter-varying systems

Joint Design of Control and Power Efficiency in Wireless Networked Control System

Contact Info

Product

Resources

About