Maximum-Likelihood-Based Adaptive and Intelligent Computing for Nonlinear System Identification

Maximum-Likelihood-Based Adaptive and Intelligent Computing for Nonlinear System Identification

Most real-time systems are nonlinear in nature, and their optimization is very difficult due to inherit stiffness and complex system representation. The computational intelligent algorithms of evolutionary computing paradigm (ECP) effectively solve various complex, nonlinear optimization problems. T...

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Bibliographic Details
Main Authors: Hasnat Bin Tariq, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Muhammad Asif Zahoor Raja, Khalid Mehmood Cheema, Ahmad H. Milyani
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Mathematics
Subjects:
adaptive differential evolution
evolutionary computing
Hammerstein
nonlinear system identification
Online Access:https://www.mdpi.com/2227-7390/9/24/3199

Internet

https://www.mdpi.com/2227-7390/9/24/3199

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