A. Mallem

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About

A. Mallem is a control systems researcher whose work focuses on advanced nonlinear control strategies for mobile robotics and renewable energy systems. Their most-cited paper, "Mobile robot trajectory tracking using terminal sliding mode control" (2017, 14 citations), introduces a dual-control approach that combines quasi-sliding mode control for rapid angular error convergence with global sliding mode control for robust trajectory tracking. This work demonstrates Mallem's expertise in designing sliding mode controllers that achieve finite-time convergence and asymptotic stability—critical for autonomous navigation in uncertain environments. Beyond robotics, Mallem has contributed to power systems, notably in photovoltaic energy conversion, where they have applied similar robust control techniques to optimize maximum power point tracking. Their research bridges theoretical advances in sliding mode control with practical implementations, addressing challenges like chattering reduction and system uncertainty. With a growing citation record, Mallem's work is increasingly recognized for its impact on both mobile robot autonomy and sustainable energy technologies, making them a notable figure in applied nonlinear control.