Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays

García, Eloy; Antsaklis, Panos J.

doi:10.1109/tac.2012.2211411

Cited by 573 publications

(261 citation statements)

References 30 publications

Supporting

Mentioning

259

Contrasting

Order By: Relevance

“…Now for event-triggered control it is important to design the event triggering instant such that uncertain system (16) is ISS with a aperiodic control law (15). The approach for deriving the triggering law is discussed below.…”

Section: ) Controller Designmentioning

confidence: 99%

“…2) Triggering condition design: Given an uncertain system (16) with a linear controller (15) there must have an eventtriggering instant t k∈I with a positive inter-execution time (t k+1 − t k = τ > 0) such that the closed loop system (16) is ISS. To prove this there must have an ISS Lyapunov function with the time derivative in the form of (3).…”

Section: ) Controller Designmentioning

confidence: 99%

See 1 more Smart Citation

Model Based Robust Control Law for Linear Event‐Triggered System

Tripathy¹,

Kar²,

Paul³

2015

Asian Journal of Control

View full text Add to dashboard Cite

This paper proposes a framework to design an event-triggered based robust control law for linear uncertain system. The robust control law is realized through both static and dynamic event-triggering approach to reduce the computation and communication usages. Proposed control strategies ensure stability in the presence of bounded matched and unmatched system uncertainties. Derivation of event-triggering rule with a non-zero positive inter-event time and corresponding stability criteria for uncertain event-triggered system are the key contributions of this paper. The efficacy of proposed algorithm is carried out through a comparative study of simulation results.

show abstract

Section: ) Controller Designmentioning

confidence: 99%

Section: ) Controller Designmentioning

confidence: 99%

Model Based Robust Control Law for Linear Event‐Triggered System

Tripathy¹,

Kar²,

Paul³

2015

Asian Journal of Control

View full text Add to dashboard Cite

show abstract

“…The goal in this case, because of delays and packet loss induced by the presence of the network in the control loop [Tabuada, 2007;Gupta and Chow, 2010;Garcia and Antsaklis, 2013], is to avoid packets transmission if not necessary, both in the direct path (from the controller to the plant) and in the feedback path (from the sensor to the controller). To achieve this goal a model-based event-triggered MPC/ISM control scheme for nonlinear constrained continuous-time uncertain systems is discussed [Ferrara et al, 2014a].…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Model Predictive/Sliding Mode Control of Nonlinear Constrained Uncertain Systems

2015

View full text Add to dashboard Cite

Abstract-This paper presents an overview of some hierarchical control schemes composed by a high level Model Predictive Control (MPC) and a low level Sliding Mode Control (SMC). The latter is realized by using the so-called Integral Sliding Mode (ISM) control approach and is meant to reject the matched disturbances affecting the plant, thus providing a system with reduced uncertainty for the MPC design. Both continuous and discrete-time solutions are discussed in the paper. Moreover, assuming the presence of a network in the control loop, a networked version of the control scheme is presented. It is a model-based event-triggered MPC/ISM control scheme aimed at minimizing the packets transmission. The input-to-state (practical) stability properties of the proposed approaches are also addressed in the paper.

show abstract

“…In the context of event-triggered control, measurements are not transmitted periodically in time but they are triggered by the occurrence of certain events. In event-triggered broadcasting [4], [5], [6], [7], and [8], a subsystem sends its local state to the network only when it is necessary, that is, only when a measure of the local subsystem state error is above a specified threshold. Event-triggered control strategies have been used for stabilization of multiple coupled subsystems as in [9], and [10] and in other multiagent applications [11].…”

Section: Introductionmentioning

confidence: 99%