About this Research Topic
Under-actuated mechanical systems such as underwater vehicles, robot manipulators, legged robots, quadrotors and satellites are ubiquitous advanced engineering problems. They have a number of advantages over the fully actuated ones because they weigh less, consume less energy, require simpler communication tools and fault tolerant approaches. Furthermore, these under-actuated mechanical systems have fewer actuators to be controlled. Note that it is not possible to control each mechanical component of these systems and development of the control approaches, especially the model free intelligent ones, is still a challenging problem. Additionally, external-internal parametric and non-parametric uncertainties such as high frequency measurement noises, unpredictable chaotic dynamics, control signal time delay and actuator saturations being unavoidable in real-time applications result in poor control performance.
Topics of interest include, but are not limited to:
• Partially model-free adaptive control approaches,
• Fully model-free adaptive control approaches,
• Uncertainty prediction and uncertainty control approaches,
• Machine learning-based intelligent control approaches,
• Vision-based intelligent control approaches,
• Data-driven intelligent control approaches,
• Adaptive control of under-actuated autonomous systems,
• Adaptive control of redundant autonomous systems,
• Reduced order observer-based adaptive control approaches,
• Reduced order adaptive control of uncertain autonomous systems,
• Optimization of the challenging control problems for autonomous systems,
• Design, development and adaptive control of autonomous systems,
• Real time experimental research on adaptive control of autonomous systems.
Keywords: adaptive control, autonomous systems, model-free
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.