Nonlinear Control Systems for Robotics and Automation

Dear Colleagues,

This Special Issue focuses on advancements in nonlinear control systems applied to robotics and automation. Nonlinear dynamics are integral to robotic systems, enabling precise and adaptive control in complex, real-world environments. This Special Issue aims to explore the innovative methodologies, algorithms, and applications of nonlinear control in diverse robotic domains such as surgical robotics, industrial automation, autonomous vehicles, humanoid robots, and any other possible applications.

Key topics include, but are not limited to, the following:

• Nonlinear control design for high-precision tasks;
• AI-driven control and data-driven control hybrid systems;
• Adaptive and robust control strategies for uncertain systems;
• Advanced observer design for state and parameter estimation;
• Sliding mode control, backstepping, and predictive control methods;
• Applications in collaborative robotics and swarm systems;
• Applications in energy-efficient and sustainable systems;
• Real-time implementation and optimization of nonlinear controllers.

This Special Issue invites contributions in theoretical developments, simulation studies, and experimental validations, highlighting the role of nonlinear control in advancing the capabilities of robotic and automated systems.

Dr. Ali Soltani Sharif Abadi
Dr. Jakub Możaryn
Guest Editors

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