Mahendra Kumar Gupta
Papers
2
Total Citations
14
H-Index
2
About
Mahendra Kumar Gupta is a control theorist whose research bridges descriptor systems, robotics, and nonlinear dynamics. His most impactful work introduces a unified proportional state feedback approach for eliminating impulses in rectangular descriptor systems—a fundamental challenge in control theory where standard methods fail due to non-square system matrices. This 2023 contribution, already garnering 10 citations, provides a systematic framework for ensuring closed-loop systems are impulse-free, addressing a long-standing gap in the literature. In parallel, Gupta explores the intersection of chaos and robotics, demonstrating how chaotic dynamics can be harnessed for autonomous navigation. His 2020 study on chaotic motion control employs a memory technique to generate efficient exploration commands for mobile robots, achieving 4 citations. This work showcases his ability to translate complex dynamical systems theory into practical robotic applications. Gupta’s research is characterized by its mathematical rigor and real-world relevance, offering solutions that advance both theoretical understanding and engineering practice. His contributions are particularly valuable for students and researchers working on descriptor systems, nonlinear control, and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
- 1Impulse Eliminations for Rectangular Descriptor Systems: A Unified Approach10 citations · 2023
- 2Chaotic Motion Control of a Mobile Robot Using a Memory Technique4 citations · 2020