Inicio  /  Applied Sciences  /  Vol: 13 Par: 5 (2023)  /  Artículo
ARTÍCULO
TITULO

A New Approach to Nonlinear State Observation for Affine Control Dynamical Systems

Ahmad Taher Azar    
Drai Ahmed Smait    
Sami Muhsen    
Moayad Abdullah Jassim    
Asaad Abdul Malik Madhloom AL-Salih    
Ibrahim A. Hameed    
Anwar Ja?afar Mohamad Jawad    
Wameedh Riyadh Abdul-Adheem    
Vincent Cocquempot    
Mouayad A. Sahib    
Nashwa Ahmad Kamal and Ibraheem Kasim Ibraheem    

Resumen

In this work, a Nonlinear Higher Order Extended State Observer (NHOESO) is presented to replace the Linear Extended State Observer (LESO) used in Conventional Active Disturbance Rejection Control (C-ADRC) solutions. In the NHOESO, the standard LESO is completed with a two-term smooth nonlinear function with saturation-like characteristics. The proposed novel NHOESO enables precise observation of the generalized disturbances with higher-order derivatives. The stability of the NHOESO is examined with the aid of the Lyapunov method. A simulation of an uncertain nonlinear Single-Input?Single-Output (SISO) system with time-varying external disturbances confirms that the proposed NHOESO copes well with the generalized disturbance, which is not true for other ESOs.

 Artículos similares

       
 
Afzaal Hassan, Mark Wallace, Irene Moser and Daniel D. Harabor    
Ridesharing effectively tackles urban mobility challenges by providing a service comparable to private vehicles while minimising resource usage. Our research primarily concentrates on dynamic ridesharing, which conventionally involves connecting drivers ... ver más
Revista: Information

 
Theodore Andronikos and Alla Sirokofskich    
In the dynamic landscape of digital information, the rise of misinformation and fake news presents a pressing challenge. This paper takes a completely new approach to verifying news, inspired by how quantum actors can reach agreement even when they are s... ver más
Revista: Information

 
Anika Stelzl and Daniela Fuchs-Hanusch    
Austria?s water utilities are facing new challenges due to advancing climate change. In recent years, changes in water demand have been observed. Water demand forecast models are required to assess these changes and react to them in a sustainable way. In... ver más
Revista: Water

 
Ilia Zaznov, Julian Martin Kunkel, Atta Badii and Alfonso Dufour    
This paper introduces a novel deep learning approach for intraday stock price direction prediction, motivated by the need for more accurate models to enable profitable algorithmic trading. The key problems addressed are effectively modelling complex limi... ver más
Revista: Applied Sciences

 
Pietro Roncioni, Marco Marini, Oscar Gori, Roberta Fusaro and Nicole Viola    
The request for faster and greener civil aviation is urging the worldwide scientific community and aerospace industry to develop a new generation of supersonic aircraft, which are expected to be environmentally sustainable and to guarantee a high-level p... ver más
Revista: Aerospace