Imran Ghous

COMSATS University Islamabad, University of Bedfordshire

Papers

Total Citations

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About

Imran Ghous is a rising authority in the control and automation of robotic manipulators, with a sharp focus on overcoming the challenges of nonlinear dynamics, friction, and time delays. His work is distinguished by a drive toward robust, model-free, and finite-time control solutions. Ghous’s most influential contribution, "Robust Adaptive Control of Robotic Manipulator with Input Time-varying Delay" (2019, 27 citations), addresses a critical real-world problem by ensuring system stability despite unpredictable communication lags. He further advanced the field with his 2022 study (22 citations), which masterfully integrates time delay estimation (TDE) with an enhanced fractional-order terminal sliding mode control (TSMC). This model-free approach achieves finite-time tracking control for rigid manipulators under nonlinear friction, offering a practical, high-performance alternative to complex model-based methods. His more recent work (2026, 8 citations) continues this trajectory by developing an adaptive finite-time proportional-derivative controller, simplifying implementation while maintaining robustness. Through these contributions, Ghous is systematically building a toolkit of accessible, high-reliability controllers that push the boundaries of what is possible in real-time robotic applications, making him a key figure to watch in the evolution of intelligent, resilient automation.