A proximal gradient method for control problems with nonsmooth and nonconvex control cost

We investigate the convergence of an application of a proximal gradient method to control problems with nonsmooth and nonconvex control cost. Here, we focus on control cost functionals that promote sparsity, which includes functionals of $L^p$-type for $p\in [0,1)$. We prove stationarity properties of weak limit points of the method. These properties are weaker than those provided by Pontryagin's maximum principle and weaker than $L$-stationarity

Executive Interview. From the Mission Control Room to the Board Room: Interview with the Director of Mission Operations of NASA, Johnson Space Center, Paul Sean Hill

Paul Sean Hill is a public speaker and executive consultant focusing on universal leadership challenges like risk management, critical thinking, and leading change. His passion is showing how any organization can leverage the core ideas and leadership values from Mission Control whether the goal is to strengthen working level decision making and leadership, actively steward a leadership culture, or deliberately engage executives in strategic decision making and change. Paul was the National Aeronautics and Space Administration, Director of Mission Operations from 2007 through 2014. He was responsible for all aspects of NASA\u27s manned spaceflight mission planning, flight controller and astronaut training, and Mission Control. Before this, Paul held a number of senior leadership positions including Deputy Manager of the Extravehicular Activity Office, Manager of Shuttle Operations, and Deputy Director of Mission Operations. Paul also served as a Space Shuttle and International Space Station Flight Director from 1996 through 2005, leading the flight control team in flight preparation and execution from Mission Control. He supported 24 missions as a Flight Director with his final assignment as the Lead Shuttle Flight Director for the return-to-flight on STS-114