Khalid A. Alattas
Papers
11
Total Citations
215
H-Index
8
About
Khalid A. Alattas is a prominent researcher specializing in advanced robotic control systems, sliding mode control theory, and intelligent fuzzy logic frameworks. His work has made substantial contributions to solving longstanding challenges in robotics engineering, most notably the chattering phenomenon in conventional sliding mode controllers. His highly cited 2021 paper on Adaptive Continuous Barrier Function Terminal Sliding Mode Control (71 citations) introduced an innovative finite-time control scheme for robotic manipulators subjected to external disturbances, significantly advancing the field. Alattas has further distinguished himself through the development of Type-3 fuzzy predictive and optimal control approaches for mobile and non-holonomic robotic systems, addressing uncertainty and environmental unpredictability with remarkable ingenuity. His research extends to quadrotor UAVs, Stewart parallel robots, chaotic path-planning security systems, and limit cycle generation in nonlinear systems, collectively accumulating over 200 citations. Beyond pure robotics, Alattas has explored AI adoption challenges within Saudi Arabian corporate environments, reflecting a broader interest in technology's societal integration. His diverse, interdisciplinary portfolio positions him as a valuable voice in both theoretical control engineering and applied intelligent systems research.
Research Focus
Key Achievements
Top Papers
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- 2Optimized Fuzzy Enhanced Robust Control Design for a Stewart Parallel Robot41 citations · 2022
- 3A New Type-3 Fuzzy Predictive Approach for Mobile Robots25 citations · 2022
- 4Optimal Control of Non-Holonomic Robotic Systems Based on Type-3 Fuzzy Model19 citations · 2023
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