Adaptive and Nonlinear Control of Robotics
A special issue of Robotics (ISSN 2218-6581). This special issue belongs to the section "Sensors and Control in Robotics".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 5343
Special Issue Editor
Interests: assistive robotics; human–robot interaction; nonlinear control theory and applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Mathematically speaking, robot dynamics are represented by systems of highly coupled nonlinear differential equations. While these dynamics can be linearized under restrictive assumptions of exact or partial model knowledge, most practical robot control designs end up with nonlinear closed-loop dynamics. Adaptive control, which includes neural network/learning-based control designs, particularly necessitates the application of nonlinear control systems analysis techniques. In this Special Issue, we would like to focus on emerging techniques in the adaptive and nonlinear control of robotics, as they apply to novel control problems and state-of-the-art robot configurations/designs.
Prof. Dr. Aman Behal
Guest Editor
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Keywords
- nonlinear control
- direct adaptive control
- indirect adaptive control
- Lyapunov-based control
- output feedback control
- partial-state feedback control
- full-state feedback control
- learning-based control
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