A new likelihood approach to autonomous multiple model estimation

Date

2020-04-01

Author

Söken, Halil Ersin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

212
views

0
downloads

This paper presents an autonomous multiple model (AMM) estimation algorithm for hybrid systems with sudden changes in their parameters. Estimates of Kalman filters (KFs) that are tuned and employed for different system modes are merged based on a newly defined likelihood function without any necessity for filter interaction. The proposed likelihood function is composed of two measures, the filter agility measure and the steady-state error measure. These measures are derived based on filter adaptation rules. The numerical results show that the proposed algorithm, so called Competing AMM (CAMM), guarantees both steady-state estimation accuracy and quick parameter tracking. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.

Subject Keywords

Instrumentation, Electrical and Electronic Engineering, Applied Mathematics, Computer Science Applications

URI

https://hdl.handle.net/11511/69729

Journal

ISA TRANSACTIONS

DOI

https://doi.org/10.1016/j.isatra.2019.09.005

Collections

Department of Aerospace Engineering, Article

Suggestions

OpenMETU
Core

An Upper Bound for Limited Rate Feedback MIMO Capacity Güvensen, Gökhan Muzaffer; Yılmaz, Ali Özgür (Institute of Electrical and Electronics Engineers (IEEE), 2009-06-01) We develop a technique to upper bound the point-to-point MIMO limited rate feedback (LRF) capacity under a wide class of vector quantization schemes. The upper bound turns out to be tight and can also be used to obtain an absolute upper bound by using a bounding distribution for Grassmannian beamforming. The bounding technique can be applied to other problems requiring the exact evaluation of the expected value of matrix determinant.
A new multiobjective simulated annealing algorithm Tekinalp, Ozan (Springer Science and Business Media LLC, 2007-09-01) A new multiobjective simulated annealing algorithm for continuous optimization problems is presented. The algorithm has an adaptive cooling schedule and uses a population of fitness functions to accurately generate the Pareto front. Whenever an improvement with a fitness function is encountered, the trial point is accepted, and the temperature parameters associated with the improving fitness functions are cooled. Beside well known linear fitness functions, special elliptic and ellipsoidal fitness functions,...
A finite field framework for modeling, analysis and control of finite state automata Reger, Johann; Schmidt, Klaus Verner (Informa UK Limited, 2004-09-01) In this paper, we address the modeling, analysis and control of finite state automata, which represent a standard class of discrete event systems. As opposed to graph theoretical methods, we consider an algebraic framework that resides on the finite field F-2 which is defined on a set of two elements with the operations addition and multiplication, both carried out modulo 2. The key characteristic of the model is its functional completeness in the sense that it is capable of describing most of the finite st...
A temporal neural network model for constructing connectionist expert system knowledge bases Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01) This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
Monte Carlo analysis of ridged waveguides with transformation media Ozgun, Ozlem; Kuzuoğlu, Mustafa (Wiley, 2013-07-01) A computational model is presented for Monte Carlo simulation of waveguides with ridges, by combining the principles of transformation electromagnetics and the finite methods (such as finite element or finite difference methods). The principle idea is to place a transformation medium around the ridge structure, so that a single and easy-to-generate mesh can be used for each realization of the Monte Carlo simulation. Hence, this approach leads to less computational resources. The technique is validated by me...

Citation Formats

H. E. Söken, “A new likelihood approach to autonomous multiple model estimation,” ISA TRANSACTIONS, pp. 50–58, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69729.