Publications

@inproceedings{10369415,

title = {Control of an Uncertain Nonlinear System},

author = {Walid Ben Hassen and Tayssir Abdelkrim and Nouceyba Abdelkrim and Adel Tellili},

doi = {10.1109/IW_MSS59200.2023.10369415},

year  = {2023},

date = {2023-11-01},

booktitle = {2023 IEEE International Workshop on Mechatronic Systems Supervision (IW_MSS)},

pages = {1-4},

abstract = {This article presents an advanced control approach for nonlinear and uncertain dynamic systems using two powerful methods: Backstepping and Adaptive Backstepping. Nonlinear and uncertain systems are common in many industrial applications, and achieving effective control for them is a major engineering challenge.The Backstepping method, a control technique based on recursion, is first introduced to stabilize nonlinear and uncertain dynamic systems. It allows for the design of successive control laws by progressively moving up the chain of the system’s state variables, stabilizing them one by one. This approach offers significant flexibility in handling a variety of nonlinear and uncertain systems.Next, Adaptive Backstepping is presented as an extension of the basic method. This approach takes into account uncertainties and parametric variations in the system, making it particularly well-suited for systems whose characteristics may change over time. Adaptive Backstepping automatically adjusts control laws to maintain system stability and performance, even in the presence of unknown disturbances and uncertainties.},

keywords = {Uncertain systems;Backstepping;Adaptive systems;Uncertainty;Mechatronics;Conferences;Control systems;Nonlinear systems;adaptive control;Lyapunov;uncertain},

pubstate = {published},

tppubtype = {inproceedings}

}