Papers
10
Total Citations
201
H-Index
7
About
Asier Ibeas is a leading researcher in adaptive control systems, with a primary focus on the robust control of robotic manipulators and fractional-order systems. His most impactful contribution is the development of multiestimation-based adaptive control schemes, which improve transient response and closed-loop stability by running multiple estimation algorithms in parallel and switching between them based on a supervisory index. This work, applied to master-slave teleoperation tandems with force reflection, has been cited over 50 times. Ibeas has also made significant advances in controlling nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities using adaptive neural networks, a paper with 85 citations. His innovative use of artificial intelligence and graph theory to describe switched linear control systems further demonstrates his interdisciplinary approach. With a career spanning two decades, Ibeas’s research has consistently addressed real-world challenges in robotics and nonlinear control, making him a respected figure in the field.
Research Focus
Key Achievements
Top Papers
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- 6Robust impedance control of robotic manipulators12 citations · 2004
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