Papers

11

Total Citations

175

H-Index

7

About

Hicham Aissaoui is a control systems researcher whose work centers on advanced motion control strategies for wheeled mobile robots (WMRs) and robotic manipulators, with a particular emphasis on sliding mode control, adaptive techniques, and finite-time stability. His research addresses one of the most persistent challenges in robotics: achieving precise, robust trajectory tracking in the presence of real-world uncertainties and disturbances. Aissaoui has made significant contributions by developing and refining sophisticated control architectures, including fuzzy adaptive sliding mode controllers, terminal integral sliding mode schemes, and extended state observer-based methods that enhance robustness while guaranteeing finite- and fixed-time convergence. His 2021 paper on a fuzzy adaptive sliding mode controller for electrically driven WMRs stands as his most recognized work, accumulating 42 citations, while his broader portfolio has collectively garnered over 170 citations across a decade of focused research. Notably, his 2024 study bridges theory and practice through real-time hardware implementation of fixed-time adaptive control, underscoring a commitment to translatable engineering solutions. His body of work has meaningfully advanced the field of autonomous mobile robot control, offering rigorous frameworks increasingly relevant to modern robotics applications.

Research Focus

Key Achievements

7
H-Index
11
Papers
175
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy adaptive sliding mode controller for electrically driven wheeled mobile robot for trajectory tracking task
42 citations · 2021
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Université Sultan Moulay Slimane

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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