Modeling and Observer Design for Aluminum Manufacturing

2022 ◽  
Author(s):  
Lucas José da Silva Moreira ◽  
Mirko Fiacchini ◽  
Gildas Besançon ◽  
Francesco Ferrante ◽  
Hervé Roustan
Keyword(s):  
Observer Design

Discrete Observer Design for Systems with Unknown Exogenous Inputs

1989 ◽  
Author(s):  
Daniel Gleason ◽  
Dominick Andrisani
Keyword(s):  
Observer Design

Observer Design for Chemical Tubular Reactors Based on System Linearization

2020 ◽  
Author(s):  
Ivan Francisco Yupanqui Tello ◽  
Daniel Coutinho ◽  
Joseph Winkin ◽  
Alain Vande Wouver
Keyword(s):  
Observer Design ◽  
Tubular Reactors

scholarly journals Interval observer design for estimation and control of time-delay descriptor systems

2015 ◽  
Vol 23 ◽  
pp. 26-35 ◽  
Author(s):  
Denis Efimov ◽  
Andrey Polyakov ◽  
Jean-Pierre Richard
Keyword(s):  
Time Delay ◽  
Observer Design ◽  
Descriptor Systems ◽  
Estimation And Control ◽  
Interval Observer ◽  
And Control

Hyperbolic observer design for a class of nonlinear systems

2021 ◽  
Vol 145 ◽  
pp. 110785
Author(s):  
Majid Parvizian ◽  
Khosro Khandani
Keyword(s):  
Nonlinear Systems ◽  
Observer Design

scholarly journals Event-triggering $${H}_{\infty }$$-based observer combined with NN for simultaneous estimation of vehicle sideslip and roll angles with network-induced delays

2021 ◽  
Vol 103 (3) ◽  
pp. 2733-2752
Author(s):  
Maria Jesus L. Boada ◽  
Beatriz L. Boada ◽  
Hui Zhang
Keyword(s):  
Autonomous Vehicles ◽  
Networked Control System ◽  
Observer Design ◽  
Simultaneous Estimation ◽  
Road Accidents ◽  
Sideslip Angle ◽  
Current Series ◽  
Event Triggering ◽  
Communication Scheme ◽  
Proper Design

AbstractNowadays, vehicles are being fitted with systems that improve their maneuverability, stability, and comfort in order to reduce the number of accidents. Improving these aspects is of particular interest thanks to the incorporation of autonomous vehicles onto the roads. The knowledge of vehicle sideslip and roll angles, which are among the main causes of road accidents, is necessary for a proper design of a lateral stability and roll-over controller system. The problem is that these two variables cannot be measured directly through sensors installed in current series production vehicles due to their high costs. For this reason, their estimation is fundamental. In addition, there is a time delay in the relaying of information between the different vehicle systems, such as, sensors, actuators and controllers, among others. This paper presents the design of an $${H}_{\infty }$$ H ∞ -based observer that simultaneously estimates both the sideslip angle and the roll angle of a vehicle for a networked control system, with networked transmission delay based on an event-triggered communication scheme combined with neural networks (NN). To deal with the vehicle nonlinearities, NN and linear-parameter-varying techniques are considered alongside uncertainties in parameters. Both simulation and experimental results are carried out to prove the performance of observer design.

A nonlinear fractional-order H∞ observer for SOC estimation of battery pack of electric vehicles

2021 ◽  
pp. 095440702199434
Author(s):  
Wei Yue ◽  
Cong-zhi Liu ◽  
Liang Li ◽  
Xiang Chen ◽  
Fahad Muhammad
Keyword(s):  
Fractional Order ◽  
Estimation Method ◽  
Equivalent Circuit Model ◽  
Lithium Ion ◽  
Open Circuit ◽  
Design Criterion ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Battery Pack ◽  
Soc Estimation

This work is focused on designing a fractional-order [Formula: see text] observer and applying it into the state of charge (SOC) estimation for lithium-ion battery pack system. Firstly, a fractional order equivalent circuit model based on the fractional capacitor is established and identified. Secondly, the SOC estimation method based on the fractional-order [Formula: see text] observer is proposed. The nonlinear intrinsic relationship between the open-circuit voltage and SOC is described as a polynomial function, and its Lipschitz proposition has been discussed. Then, the nonlinear observer design criterion is established based on the Lyapunov method. Finally, the effectiveness of the proposed method is verified with high accuracy and robustness by the experiment results.

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