System identification takes a space of possible models and a stream of observational data of a physical system, and attempts to identify the element of the model space that best describes the observed system. In traditional approaches, the model space is specified by a parameterized differential equation, and identification selects numerical parameter values so that simulation of the model best...

A diesel generator set (genset) refers to a diesel engine powered electrical alternator. Controls are needed to regulate the electrical output at the nominal voltage (120V RMS) and frequency (60Hz) despite variation in the electrical loads. In this paper, a system model for the genset is developed. A grey-box system model that considers known physical dependence and empirical identification of ...

The paper focuses on the forecasting models of green energy power systems and loads. Since electric energy cannot be stored efficiently in large quantities, accurate tracking of the energy generation in conjunction with the consumer requirements can lead to the optimization of energy costs in the context of the liberalization of the electric energy market and the increased usage of the alternat...

In this paper, we propose a new recursive subspace model identification (RSMI) based on regression and natural power method (NP) which is an array signal processing algorithm with excellent convergence properties. We call this new algorithm as ‘R-NP’. The basic idea of the algorithm is to utilize an unstructured least squares linear regression approach at the updating observation vector step an...

Visual inspection by integrated computing system can perform 100% inspection on products as they are being manufactured. The measurement, alignment or verification results can be fed directly to the Programmable Logic Controller (PLC) for immediate action. Once this information is presented, the PLC must track each piece and accept or reject that piece at some later time, possibly after several...

Methods which provide good conditioning of model identification task in immune inspired, steady-state controller SILO (Stochastic Immune Layer Optimizer) are presented in this paper. These methods are implemented in a model based optimization algorithm. The first method uses a safe model to assure that gains of the process’s model can be estimated. The second method is responsible for eliminati...

A main application in radio frequency identification (RFID) sensor networks is the function that processes real-time tag information after gathering the required data from multiple RFID tags. The component technologies that contain an RFID reader, called the interrogator, which has a tag chip, processors, coupling antenna, and a power management system have advanced significantly over the last ...

A method for structural and parameter identification of a slowly time-varying systems is proposed. The frozen-time method is used in this analysis. By means of this method we obtain consecutive LTI models, which are identified in consecutive discrete instants using the Qualitative System Identification (QSI) Algorithm. The proposed algorithm models the behavior of the ODE’s coefficients means o...

WISP is a wireless, battery-free platform for sensing and computation that is powered and read by a standards-compliant Ultra-High Frequency (UHF) RFID reader. The notable features of the device are a wireless power supply, UHF backscatter communication, and a fully programmable