Papers
124
Total Citations
2,868
H-Index
27
About
J. A. Tenreiro Machado is a prolific engineer and applied mathematician whose research spans fractional calculus, control systems, robotics, and bio-inspired optimization. He is widely recognized as a leading authority in fractional-order systems, having produced seminal works that bridged the centuries-old mathematical theory of fractional calculus with practical engineering applications. His highly cited papers — including "Some Applications of Fractional Calculus in Engineering" (333 citations) and "Fractional Order Calculus: Basic Concepts and Engineering Applications" (287 citations) — have been instrumental in demonstrating that fractional-order differential equations more accurately capture the behavior of complex, real-world systems exhibiting memory effects and fractal dynamics. In robotics, Machado has made substantial contributions to fractional-order control of manipulators and hexapod robots, advancing hybrid position-force control strategies that enhance system robustness. His extensive work on legged locomotion, including historical perspectives and optimization surveys, has helped shape the field of mobile robotics. He has also championed multi-objective evolutionary approaches for redundant manipulator trajectory planning. With a body of work accumulating over 1,200 citations across diverse domains, Machado stands as an exceptionally influential figure connecting abstract mathematical theory to cutting-edge engineering practice.
Research Focus
Key Achievements
Top Papers
- 1Some Applications of Fractional Calculus in Engineering333 citations · 2009
- 2Fractional Order Calculus: Basic Concepts and Engineering Applications287 citations · 2010
- 3
- 4Fractional Order Control of a Hexapod Robot127 citations · 2004
- 5Fractional-order hybrid control of robot manipulators123 citations · 2002
- 6A literature review on the optimization of legged robots93 citations · 2011
- 7A Historical Perspective of Legged Robots84 citations · 2007
- 8A multi-objective approach for the motion planning of redundant manipulators78 citations · 2011
- 9Trajectory planning of redundant manipulators using genetic algorithms77 citations · 2008
- 10Manipulator trajectory planning using a MOEA63 citations · 2006