Plug-and-play distributed state estimation for linear systems
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
In most applications related to transportation, it is of major importance to be able to identify the global optimum of the associated optimization problem. The work we present in this paper is motivated by the optimization problems arising in the maximum l ...
We pose the estimation of the parameters of multiple superimposed exponential signals in additive Gaussian noise problem as a Maximum Likelihood (ML) estimation problem. The ML problem is very non linear and hard to solve. Some previous works focused on fi ...
We propose a high resolution ranging algorithm for unsynchronized impulse radio Ultra-wideband (UWB) communication systems in gaussian noise. We pose the ranging problem as a Maximum Likelihood (ML) estimation problem for the channel delays and attenuation ...
This paper proposes a new DOA (direction of arrival) estimation method based on circular microphone array. For an arbitrary number of microphones, it is analytically shown that DOA estimation reduces to an efficient non-linear optimization problem. Simulat ...
State estimation is a widely used concept in the control community, and the literature mostly concentrates on the estimation of all states. However, in soft sensor problems, the emphasis is on estimating a few soft outputs as accurately as possible. The co ...
The authors achieve robust estimation of parametric models through the use of weighted maximum likelihood techniques. A new estimator is proposed and its good properties illustrated through examples. Ease of implementation is an attractive property of the ...
We present in this paper a new complete method for distributed constraint optimization. This is a utility-propagation method, inspired by the sum-product algorithm. The original algorithm requires fixed message sizes, linear memory, and is time-linear in t ...
The instantaneous secretion rate (ISR) of endocrine glands is not directly measurable and it can be reconstructed only indirectly by applying deconvolution algorithms to time-series of plasma hormone concentrations. In particular, nonparametric regularizat ...
The EEF utility, which has its headquarters in Fribourg, Switzerland, is planning to install in its new energy management system a robust Schweppe-type Huber GM-state estimator (SHGM). Prior to the installation, the iterative algorithm that implements the ...
