Model-based periodic event-triggered control for linear systems

Heemels, W.P.M.H.; Donkers, M.C.F.

doi:10.1016/j.automatica.2012.11.025

Cited by 526 publications

(274 citation statements)

References 31 publications

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“…To the best of our knowledge, the problem of output feedback ETC has been first investigated in [53] and then in [8,22,30,41,55,58,72,84,100,105,126] for LTI systems and only in [123] for nonlinear systems. We have seen above that the event-triggered controller proposed for LTI systems in [22] guarantees a practical stability property.…”

Section: Existing Resultsmentioning

confidence: 99%

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Output Feedback Event-Triggered Control

Abdelrahim

Daafouz

Nešić

2016

Delays and Networked Control Systems

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Section: Existing Resultsmentioning

confidence: 99%

“…The results in [126], [72] focus on PETC for linear systems. In [8], [100], [104], [58], [41], [30], event-triggered observer-based controllers have been developed.…”

Section: Existing Resultsmentioning

confidence: 99%

Output Feedback Event-Triggered Control

Abdelrahim

Daafouz

Nešić

2016

Delays and Networked Control Systems

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“…This process is repeated until the scheduling horizon is covered. Since the computational requirement of the ETM method is not more than that of the time-triggered method if their sampling intervals are the same [26], the proposed ETMbased algorithm can perform well in reducing the communication and computational resources without obvious degradation in the building system performance. Furthermore, building system states and environmental conditions vary moderately, which may provide an advantage when applying the ETM method to the optimization of building operation.…”

Section: Remarksmentioning

confidence: 99%

“…In this way, the communication and computational resources may be reduced. The details of the model-based periodic ETM method can be referred to [26].…”

Section: Event-triggered Mechanismmentioning

confidence: 99%

PMV-based event-triggered mechanism for building energy management under uncertainties

Spanos

et al. 2017

Energy and Buildings

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This paper provides a study of the optimal scheduling of building operation to minimize its energy cost under building operation uncertainties. Opposed to the usual way that describes thermal comfort using a static range of air temperature, the optimization of a tradeoff between energy cost and thermal comfort predicted mean vote (PMV) index is addressed in this paper. In order to integrate the calculation of the PMV index with the optimization procedure, we develop a sufficiently accurate approximation of the original PMV model which is computationally efficient. We develop a model-based periodic eventtriggered mechanism (ETM) to handle the uncertainties in the building operation. Upon the triggering of predefined events, the ETM determines whether the optimal strategy should be recalculated. In this way, the communication and computational resources required can be significantly reduced. Numerical results show that the ETM method is robust with respect to the uncertainties in prediction errors and results in a reduction of more than 60% in computation without perceivable degradation in system performance as compared to a typical closed-loop model predictive control.

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“…A similar approach is adopted in the so-called modelbased event-triggered control (see, for instance, [10]- [12]), This is the final version of the accepted paper submitted to IEEE Transactions on Automatic Control. G.P.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous Networked MPC With ISM for Uncertain Nonlinear Systems

Incremona

Ferrara

Magni

2017

IEEE Trans. Automat. Contr.

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Abstract-A model-based event-triggered control scheme for nonlinear constrained continuous-time uncertain systems in networked configuration is presented in this paper. It is based on the combined use of Model Predictive Control (MPC) and Integral Sliding Mode (ISM) control, and it is oriented to reduce the packets transmission over the network both in the direct path and in the feedback path, in order to avoid network congestion. The key elements of the proposed control scheme are the ISM local control law, the MPC remote controller, a smart sensor and a smart actuator, both containing a copy of the nominal model of the plant. The role of the ISM control law is to compensate matched uncertainties, without amplifying the unmatched ones. The MPC controller with tightened constraints generates the control component oriented to comply with state and control requirements, and is asynchronous since the underlying constrained optimization problem is solved only when a triggering event occurs. In the paper, the robustness properties of the controlled system are theoretically analyzed, proving the regional input-tostate practical stability of the overall control scheme.

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Model-based periodic event-triggered control for linear systems

Cited by 526 publications

References 31 publications

Output Feedback Event-Triggered Control

Output Feedback Event-Triggered Control

PMV-based event-triggered mechanism for building energy management under uncertainties

Asynchronous Networked MPC With ISM for Uncertain Nonlinear Systems

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