Ignacio Peñarrocha

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In this paper, a new event based PI control algorithm with adaptive thresholds is presented. The main advantage over the fixed threshold algorithms is that it removes the dependence between the magnitude of the input (set point or disturbance) and the number of events, to prevent the generation of unnecessary events when the magnitude of the input(More)
In this paper, the analysis of the closed-loop dynamics of a control system with scarce random sampling is addressed. The control strategy is based on the use of a conventional single-rate controller combined with a model based output estimator that estimates the unmeasured intersampling outputs at the control (fast) rate. The proposed estimator takes into(More)
In this paper we analyse the conditions that produce oscillations in event based PID controllers. A Symmetric Send-On-Delta scheme (SSOD) is assumed, and the describing function is the tool used to address the problem. Once the conditions for oscillations are established, a new robustness to oscillations performance measure is introduced. Then a very simple(More)
In this work, the parameter identification for systems with scarce measurements is addressed. A linear plant is assumed and its output is assumed to be available only at sporadic instants of time and affected by noise measurement. The identification is carried out estimating the missing outputs in order to construct the regression vector needed by the(More)
In this paper, we address the fault diagnosis problem for discrete-time multi-sensor systems over communication networks with measurement dropouts. We use the measurement outcomes to model the measurement reception scenarios. Based on this, we propose the use of a jump observer to diagnose multiple faults. We model the faults as slow time-varying signals(More)
In this paper, the problem of predicting the output of a system at regular periods from irregularly sampled signals is addressed. A model based predictor that takes into account the possibly delayed measurement signals is used. Robustness of the predictor to the time-delays and data availability as well as disturbance and noise attenuation is dealt with via(More)
In this paper, the problem of observing the state of a class of discrete nonlinear system is addressed. The design of the observer is dealt with using H∞ performance techniques, taking into account disturbance and noise attenuation. The result is an LMI optimization problem that can be solved by standard optimization techniques. A design strategy is(More)