Publications

@conference{BenHassen2023,

title = {Control of an Uncertain Nonlinear System},

author = {W. Ben Hassen and T. Abdelkrim and N. Abdelkrim and A. Tellili},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182923062\&doi=10.1109%2fIW_MSS59200.2023.10369415\&partnerID=40\&md5=e264458a100137624061429867ba30a6},

doi = {10.1109/IW_MSS59200.2023.10369415},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

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. © 2023 IEEE.},

note = {cited By 0},

keywords = {Adaptive backstepping; Adaptive Control; Advanced control; Control approach; Control laws; Lyapunov; Non-linear dynamic systems; Uncertain; Uncertain dynamic systems; Uncertain nonlinear systems, Adaptive control systems; Backstepping; Control theory; System stability, Uncertain systems},

pubstate = {published},

tppubtype = {conference}

}