Karel Jezernik

University of Maribor

Papers

12

Total Citations

239

H-Index

7

About

Karel Jezernik is a prominent robotics and control systems researcher whose career has been defined by pioneering contributions to sliding mode control (SMC) and its applications in robotic systems. His work sits at the intersection of nonlinear control theory, neural networks, and robotics, with a sustained focus on developing robust, practical control strategies for complex mechanical systems. Jezernik's most influential contributions include the development of neural network-based sliding mode control, which elegantly unified variable structure systems with adaptive learning frameworks, earning 58 citations. His observer-based sliding mode control approach for robotic manipulators (56 citations) introduced innovative load estimation techniques, making control systems resilient to parameter variations and external disturbances. A recurring theme throughout his research is the elimination of chattering — a problematic oscillation inherent in sliding mode systems — addressed directly in his 1996 work (46 citations) and subsequent studies. Later in his career, Jezernik extended these foundations into bilateral teleoperation and robotic surgery applications, exploring scaled master-slave systems with haptic feedback. His exploration of global optimal control for redundant robots and hybrid event-based planning further demonstrates his breadth. With over 230 cumulative citations, Jezernik's body of work remains a meaningful reference point for researchers advancing robust control in robotics.

Research Focus

Key Achievements

7
H-Index
12
Papers
239
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Neural network sliding mode robot control
58 citations · 1997
📈 Most Prolific Year: 1996 (3 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: University of Maribor

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago