The concept of interoperability of data and model as presented in this paper is viewed as being very useful for implementing variety of future applications related to power system...
Mladen Kezunovic, Santiago Grijalva, Papiya Dutta,...
Tracking in a multipath environment poses many challenges. It is worth while to quantify the achievable performance bounds in such an environment. However finding the performance...
Bentarage Sachintha Karunaratne, Mark R. Morelande...
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
Abstract-Malicious attacks against power system state estimation are considered. It has been recently observed that if an adversary is able to manipulate the measurements taken at ...
Oliver Kosut, Liyan Jia, Robert J. Thomas, Lang To...
— This paper deals with the state estimation of nonlinear systems. The systems under study are characterized by two-time scale models. The state estimation is performed by design...
We study state estimation via wireless sensors over fading channels. Packet loss probabilities depend upon time-varying channel gains, packet lengths and transmission power levels ...
In the last few years, the growing complexity of the electrical power networks, mainly due to the increased use of electronic converters together with the requirements of a higher ...
Andrea Benigni, Gabriele D'Antona, U. Ghisla, Anto...
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence o...
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...
Abstract. In the previous papers (Masreliez and Martin, 1977; Novoviˇcova, 1987; Schick and Mitter, 1994) the problem of recursive estimation of linear dynamic systems parameters ...