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Stabilizing Bit-Rate of Disturbed Event Triggered Control Systems

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TLDR
This result provides a guide on how to assign communication resource to the control system and shows the stabilizing bit-rate is shown to be always bounded by a continuous, positive definite, increasing function with respect to the norm of the state.
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This article is published in IFAC Proceedings Volumes.The article was published on 2012-01-01 and is currently open access. It has received 23 citations till now. The article focuses on the topics: Bounded function & Event (relativity).

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Citations
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Journal ArticleDOI

Event-Triggered Stabilization of Linear Systems Under Bounded Bit Rates

TL;DR: In this article, the authors considered the problem of exponential practical stabilization of linear time-invariant systems with disturbances using event-triggered control and bounded communication bit rate and showed that their design exponentially stabilizes the origin while guaranteeing a uniform positive lower bound on the inter-transmission and inter-reception times, ensuring that the number of bits transmitted on each transmission is upper bounded uniformly in time, and allowing for the possibility of transmitting fewer bits at any given time if more bits than prescribed were transmitted earlier.
Journal ArticleDOI

Event-Triggered Quantized Control for Input-to-State Stabilization of Linear Systems With Distributed Output Sensors

TL;DR: This work proposes a systematic methodology for the joint design of the (distributed) dynamic quantizers and the event-triggering mechanisms ensuring an input-to-state stability property of a size-adjustable set around the origin.
Journal ArticleDOI

Efficiently Attentive Event-Triggered Systems With Limited Bandwidth

TL;DR: This technical note proposes an approach to design event triggers and quantization maps for nonlinear systems with transmission delays and presents sufficient conditions to guarantee input-to-state stability (ISS) of the resulting systems without exhibiting Zeno behavior.
Journal ArticleDOI

The Value of Timing Information in Event-Triggered Control

TL;DR: A phase transition behavior of the transmission rate required for stabilization as a function of the communication delay is revealed and an explicit construction providing a sufficient condition for stabilization is given.
Journal ArticleDOI

Event-triggered stabilization of nonlinear systems with time-varying sensing and actuation delay

TL;DR: In this paper, the authors studied the problem of stabilizing a nonlinear system with time-varying delays in both sensing and actuation using event-triggered control.
References
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Journal ArticleDOI

A Survey of Recent Results in Networked Control Systems

TL;DR: This work reviews several recent results on estimation, analysis, and controller synthesis for NCSs, and addresses channel limitations in terms of packet-rates, sampling, network delay, and packet dropouts.
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.
Journal ArticleDOI

Control under communication constraints

TL;DR: This paper forms a control problem with a communication channel connecting the sensor to the controller, and provides upper and lower bounds on the channel rate required to achieve different control objectives.
Journal ArticleDOI

Wireless sensor and actor networks: research challenges

TL;DR: S sensor-actor and actor-actor coordination is explored and research challenges for coordination and communication problems are described.
Journal ArticleDOI

Quantized feedback stabilization of linear systems

TL;DR: A new control design methodology is proposed, which relies on the possibility of changing the sensitivity of the quantizer while the system evolves, which yields global asymptotic stability.
Related Papers (5)
Frequently Asked Questions (12)
Q1. What have the authors contributed in "Theoretical analysis of balanced truncation for linear switched systems" ?

In this paper the authors present a theoretical analysis of the model reduction algorithm for linear switched systems from Shaker and Wisniewski ( 2011, 2009 ). More precisely, ( 1 ) the authors provide a bound on the approximation error in L2 norm, ( 2 ) they provide a system theoretic interpretation of grammians and their singular values, ( 3 ) they show that the performance of balanced truncation depends only on the input-output map and not on the choice of the state-space representation. In addition, the authors also show that quadratic stability and LMI estimates of the L2 gain also depend only on the input-output map. 

Another open question is how to extend balanced truncation to systems which do not admit a common Lyapunov function. 

Observability reduction: Assume that kerO(Σ) = n − no and let b1, . . . , bn be a basis in Rn such that bno+1, . . . , bn span kerO(Σ). 

The proof of the second part of the theorem follows by an easy computation and by recalling that if Σ1 and Σ2 are two equivalent and minimal LSSs, then they are related by an LSS isomorphism. 

(2) If Σrt is the result of applying Procedure 1 to ΣT ,then ΣTrt = Σo, where Σo is the result of application of Procedure 2 to Σ.As a consequence, K(Σ) 6= ∅ if and only if K(ΣT ) 6= ∅. Since Procedure 1 preserves non-emptiness of K(ΣT ), wehave that K(Σrt) 6= ∅, which implies that K(ΣTrt) = K(Σo) 6= ∅. 

Q : ATq Q+QAq + CTq Cq < 0. (2) Likewise, define a controllability grammian of the system as a strictly positive definite P > 0 which satisfies.∀q ∈ Q : AqP + PATq +BqBTq < 0. (3) By applying a suitable state-space isomorphism, the system can be brought into a form where P = Q = Λ = diag(σ1, . . . , σn) are diagonal matrices and σ1 ≥ . . . ≥ σn > 0. 

The LSS Σm is said to be a minimal realization of an input-output map f , if Σm is a realization of f and if for any other LSS Σ which is a realization of f , dim Σm ≤ dim Σ. 

A linear switched system with external switching (abbreviated as LSS) is a tuple Σ = (n,Q, {(Aq, Bq, Cq) | q ∈ Q}), where for each q ∈ Q, (Aq, Bq, Cq) ∈ Rn×n × Rn×m × Rp×n. 

Observability: The LSS Σ is observable if and only if rank O(Σ) = n, whereO(Σ) = [ (C̃Av1) T , (C̃Av2) T , . . . , (C̃AvM ) T ]T ∈ Rp|Q|M×n.where C̃ = [ CT1 C T 2 , . . . , C T D ]T ∈ Rp|Q|×n. 

Q : ATq P + PAq < 0. (8)It is well-known Liberzon (2003) that quadratic stability implies exponential stability for all switching signals. 

As a byproduct, the authors also show that if an inputoutput map can be realized by a quadratically stable system 1 , then any minimal realization of this map will be quadratically stable. 

In this paper the authors address certain theoretical problems which arise in balanced truncation of continuous-time linear switched systems using balanced truncation.