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Finding input sequences that cause switching activity burst (power virus) and consequently peak power dissipation is an essential issue in design of sequential digital circuits. This paper presents a novel technique for computing the power virus inputs from the very first step of the synthesis flow where the finite state machine is typically described in the form of Signal Transition Graph (STG) and...
Presented research relates to control of dissolved oxygen in a bioreactor. There were assumed a nonlinear relation between the volumetric oxygen transfer coefficient and air flow into the reactor. Thus the volumetric oxygen transfer coefficient was assumed as a substitute of manipulated value. Two control algorithms were considered for oxygen stabilization: classical PI and model predictive one —...
Dirichlet process (DP) mixtures were recently introduced to deal with switching linear dynamical models (SLDM). They assume the system can switch between an a priori infinite number of state-space representations (SSR) whose parameters are on-line inferred. The estimation problem can thus be of high dimension when the SSR matrices are unknown. Nevertheless, in many applications, the SSRs can be categorized...
A coordinated dynamic sensor network of autonomous underwater gliders to estimate 3D time-varying environmental fields is proposed and tested. Each sensor performs local Kalman filter sequential field estimation. A network of surface relay nodes and asynchronous consensus are used to distribute local information among all nodes so that they can converge to an estimate of the global field. Tests using...
Multichannel space-based SAR systems that exploit receiving antenna sub-arrays displaced in the along track-direction have been shown to provide the capability to detect ground moving targets and potentially estimate their radial motion velocity, thus making possible their correct relocation inside the SAR image of the background. However, the use of only two receiving channels to contain cost, mass...
In this paper we provide a scheme for estimating the minimum achievable exponential decay rate of a switched linear system via output feedback control. The output feedback stabilization of switched linear systems using path-dependent controllers is characterized exactly in [8] in terms of an increasing family of linear matrix inequalities; the feasibility of any one of these inequalities allows for...
This paper deals with the event-triggered distributed H∞ filtering for a class of networked systems with sensor networks. The topology of the sensor network is supposed to be time-varying. Whether or not a sampled data packet of a sensor node should be transmitted to its neighbors is determined by a predefined event-triggering condition, which closely depends on the variation of the sensor network...
Correntropy has been successfully applied in non-Gaussian signal processing, but the superior performance achieved is depends on appropriate selection of the kernel width. How to select a proper kernel width is a crucial problem in correntropy applications. In this paper, we propose an adaptive algorithm to update the kernel width, which is set at a maximum between the absolute value of instantaneous...
In this paper an active power filter is presented based on a multilevel converter. The active power filter is intended to be used in domestic applications where reactive power compensation in two-phase networks is required. An innovative technique to balance the DC bus voltages of the power converter capacitors is proposed and also an estimation algorithm for those voltages is developed, allowing...
Power losses calculation is important in inverter design since it provides a reference for the inverter thermal management. For MOSFET based inverters, many of MOSFET datasheets do not provide switching power losses directly. In order to estimate MOSFET switching power losses, MOSFET switching time has to be estimated firstly. The purpose of this paper is to develop an improved method for MOSFET voltage...
This paper continues to build on the dynamic current transient estimation method introduced in previous work. Our previously introduced method uses pre-characterized data from standard cells to estimate the total current transient of a path. This method eliminates the necessity of running resource intensive full-chip SPICE simulations to estimate the current transient of a path. Novel contributions...
This paper adopts a state estimator and a meter placement approach to improve the operation of medium voltage distribution grids. In the framework different input specifications are designated. Moreover, three common activities during normal operation are analyzed in detail: voltage regulation, switching consequence assessment, and loss estimation. To evaluate the performance of these activities,...
This paper proposes a new passive local islanding detection technique for a distributed generation (DG) system connected to a utility grid. In the proposed method the absolute value of angle between the negative sequence components of voltage and current is estimated at the DG end and is used to recognize the islanding condition. The conventional passive methods have the drawback of non-detection...
This paper presents a communication setup based on discrete-time delayed dynamical systems. The communication consists in encoding the information as a time-varying delay that is injected into the dynamics. The main point is the design of a suitable receiver achieving the deciphering because it cannot be performed as in the continuous-time case. As a clue to tackle the problem, the deciphering is...
Sequential Monte Carlo (SMC) or particle filtering (PF) has demonstrated effectiveness in non-linear and non-Gaussian system estimation, due to its unique approach for posterior probability density function estimation. However, classical PF techniques suffer from particle degeneracy and sample impoverishment. This paper proposes a new scheme for joint state and parameter estimation, based on the sequential...
This paper deals with macroscopic traffic modelling. It investigates real magnetic sensor data, provided by the Performance Measurements System (PeMS), in order to identify some traffic parameters related to a portion of the SR60-E highway in Califorina. Then, these parameters are used to validate a switched linear traffic model.
In this paper, we consider the problem of connectivity maintenance in multi-robot systems with unicycle kinematics. While previous work has approached this problem through local control techniques, we propose a solution which achieves global connectivity maintenance under nonholonomic constraints. In addition, our formulation only requires intermittent estimation of algebraic connectivity, and accommodates...
The conventional high frequency signal injection method is to superimpose a high frequency voltage signal to the commanded stator voltage before space vector modulation. Therefore, the magnitude of the voltage used for machine torque production is limited. In this paper, a new high frequency injection method, in which high frequency signal is generated by shifting the duty cycle between two neighboring...
In this paper a novel and efficient approach is presented for power system switching transient analysis: The so-called Matrix Pencil Method MP, is based upon a modal decomposition of exponentially modulated sinusoids, formulated as a generalized eigen-value problem. In this paper we are interested in shunt compensated line transient voltages during auto re-closing operations. The MP method has readily...
In this paper, the effects due to changes in the sampling period of digital controllers are analyzed. The swapping between controllers could produce instability problems and, in any case, the control performances could be degraded. In order to minimize this effect, the new control actions are computed based on the new controller parameters and estimations of the required past values of the state or...
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