Obiekt
Tytuł: Implicit state estimators and their application to pole assignment controllers for systems with uncertainties
Współtwórca:
Podtytuł:
Adaptive Learning and Control Using Sliding Modes
Tytuł publikacji grupowej:
Abstract:
This paper presents implicit robust state observers for SISO minimum phase dynamical systems with arbitrarily relative degrees (with respect to the relation between the disturbance and the output). For systems with relative degree one, the state is expressed by the filters of the input and the output. No a-priori knowledge of the disturbance is required in this case. ; For systems with higher relative degrees, by first estimating the disturbance, the state vector is asymptotically expressed by the filters of the input, the filters of the output and the estimates of the first-order filters of the disturbance. Then the state observer and the estimated disturbance are applied to a controller to place desired poles and to cancel the disturbance. Finally, examples and simulation results show that the proposed algorithms are effective.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
Strony:
Źródło:
AMCS, volume 8, number 1 (1998) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Repozytorium > Typy utworów > Artykuły
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS)
- Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1998)
Data ostatniej modyfikacji:
2021-09-03
Data dodania obiektu:
2020-12-18
Liczba wyświetleń treści obiektu:
84
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/repozytorium/publication/64636
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Wyświetl opis w formacie OAI-PMH:
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 13 (2003)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 12 (2002)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 11 (2001)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 10 (2000)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 9 (1999)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8, number 1 (1998)
- Unit sliding mode control in infinite dimensional systems
- A new sliding mode approach to asymptotic feedback linearisation with application to the control of non-flat systems
- A polar coordinate based sliding mode design for vibration control
- Adaptive reduction of the control effort in chattering-free sliding-mode control of uncertain nonlinear systems
- A symbolic computation toolbox for the design of dynamical adaptive nonlinear controllers
- Sliding mode control with directly learned feedforward compensation
- Implicit state estimators and their application to pole assignment controllers for systems with uncertainties
- The use of sliding modes to simplify the backstepping control method
- Robust identification by dynamic neural networks using sliding mode learning
- A robust tracking control scheme for a class of nonlinear systems with fuzzy nominal model
- Evaluation of discrete-time VSC on an inverted pendulum apparatus with additional dynamics
- Composite adaptive SMC of nonlinear base isolated buildings with actuator dynamics
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8, number 2 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8, number 3 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8, number 4 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8, number 1 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 7 (1997)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 5 (1995)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 4 (1994)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 2 (1992)
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International Journal of Applied Mathematics and Computer Science (AMCS),volume 1 (1991)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
| Nazwa wydania | Data |
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| Implicit state estimators and their application to pole assignment controllers for systems with uncertainties | 2021-09-03 |
