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The obstacle avoidance and soft landing problem is examined from a predictive control framework. A new method for circumnavigating an obstacle in deep space is proposed that offers guarantees on convergence to the desired state. The method uses advanced concepts of convex optimization and model predictive control to design a feedback controller that is inherently robust to environmental disturbances.
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This page is a summary of: Small Body Precision Landing via Convex Model Predictive Control, September 2017, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2017-5179.
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