Barrie Jones
Papers
1
Total Citations
48
H-Index
1
About
Barrie Jones is a leading figure in nonlinear control theory, with a particular focus on the robust stabilization and trajectory tracking of nonholonomic mobile robots. His seminal 1999 paper, "Robust backstepping and neural network control of a low-quality nonholonomic mobile robot," has garnered 48 citations, establishing a foundational approach for integrating backstepping techniques with neural network adaptive control to handle parametric uncertainties and unmodeled dynamics in wheeled robots. This work demonstrated how to achieve asymptotic stability even when robot models are imprecise—a critical advance for practical field robotics. Jones’s contributions extend to bridging classical Lyapunov-based methods with modern learning-based control, offering engineers a systematic framework for designing controllers that are both theoretically rigorous and computationally tractable. His research has influenced subsequent work in autonomous navigation, agricultural robotics, and assistive mobility devices, where robustness to low-quality sensors and actuators is paramount. Beyond this landmark paper, Jones has published extensively on adaptive control, sliding mode methods, and the application of neural networks to real-time control problems, making him a respected voice in the control systems community.
Research Focus
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Top Papers
- 1