Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Gerasimos G. Rigatos"'
Autor:
Gerasimos G. Rigatos
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses. First, the paper examines the
Externí odkaz:
https://doaj.org/article/a9d3a0d3f5ee49419db3f155f85ca2f9
Autor:
Gerasimos G. Rigatos
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8 (2011)
The paper proposes derivative-free nonlinear Kalman Filtering for MIMO nonlinear dynamical systems. The considered nonlinear filtering scheme which is based on differential flatness theory extends the class of systems to which Kalman Filtering can be
Externí odkaz:
https://doaj.org/article/9c6100e9871845c0a834609c102179d0
Autor:
Gerasimos G. Rigatos, Pierluigi Siano
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 8 (2011)
The paper studies sensorless control for DC and induction motors, using Kalman Filtering techniques. First the case of a DC motor is considered and Kalman Filter-based control is implemented. Next the nonlinear model of a field-oriented induction mot
Externí odkaz:
https://doaj.org/article/350dfdf1ec1f4040a2ffd273e0c1f98e
Autor:
Gerasimos G. Rigatos
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 5, Iss 2 (2008)
Swarm intelligence theory is proposed for motion planning of multi-robot systems. Multiple particles start from different points in the solutions space and interact to each other while moving towards the goal position. Swarm intelligence theory is a
Externí odkaz:
https://doaj.org/article/47a838e2dc1049738eb88e4f0cf0aa1d
Autor:
Gerasimos G. Rigatos
Publikováno v:
Cybernetics and Physics. :57-68
The article proposes a differential flatness theory based control and filtering method for the model of a mobile manipulator. This is a difficult control and robotics problem due to the system’s strong nonlinearities and due to its underactuation.
Autor:
Gerasimos G. Rigatos
The book conclusively solves problems associated with the control and estimation of nonlinear and chaotic dynamics in financial systems when these are described in the form of nonlinear ordinary differential equations. It then addresses problems as
Autor:
Gerasimos G. Rigatos
Publikováno v:
State-Space Approaches for Modelling and Control in Financial Engineering ISBN: 9783319528656
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b163298b1f7ca625cde714f5ce57d9
https://doi.org/10.1007/978-3-319-52866-3_13
https://doi.org/10.1007/978-3-319-52866-3_13
Autor:
Gerasimos G. Rigatos
Publikováno v:
State-Space Approaches for Modelling and Control in Financial Engineering ISBN: 9783319528656
Pricing of commodities (e.g. oil, carbon, mining products, electric power, agricultural crops, etc.) is vital for the majority of transactions taking place in financial markets. A method for feedbsck control of commodities pricing dynamics is develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8eabd38e317063a5760427e1d49cf8
https://doi.org/10.1007/978-3-319-52866-3_14
https://doi.org/10.1007/978-3-319-52866-3_14
Autor:
Gerasimos G. Rigatos
Publikováno v:
State-Space Approaches for Modelling and Control in Financial Engineering ISBN: 9783319528656
In control and stabilization of the dynamics of financial systems, one can distinguish three main research axes: (i) Methods based on global linearization, (ii) Methods based on asymptotic linearization, and (iii) Lyapunov methods, As far as approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880d85bb8de77186d8ade79360d3e061
https://doi.org/10.1007/978-3-319-52866-3_2
https://doi.org/10.1007/978-3-319-52866-3_2
Autor:
Gerasimos G. Rigatos
Publikováno v:
State-Space Approaches for Modelling and Control in Financial Engineering ISBN: 9783319528656
The local statistical approach for fault detection and isolation is applied to fuzzy models validation aiming at confirming if neurofuzzy models used in the forecasting of finance dynamics are reliable. The method detects the inconsistencies between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0157dfddc57c157f369d9c2f9f9ae198
https://doi.org/10.1007/978-3-319-52866-3_10
https://doi.org/10.1007/978-3-319-52866-3_10