Conventional physics-based modeling is a time-consuming bottleneck in control design for complex nonlinear systems like autonomous underwater vehicles (AUVs). In contrast, purely data-driven models require large number of observations and lack operational guarantees safety-critical systems. Data-driven leveraging available partially characterized dynamics have potential to provide reliable typi...

As wind energy production keeps on increasing, it is necessary to optimize the fatigue/performance trade-off of operating turbines. However, considering fatigue directly in optimal control needs be carefully done because its faithful model does not necessarily fit standard forms commonly required by general purpose solvers. It was recently shown that a signal variance and induced can statistica...

This study investigates the effects of family control on corporate innovation activity in publicly traded firms Japan under stakeholder-oriented governance. In a sample 14,991 firm-year observations during period 2007 to 2016, we tested whether owners or board members are enhancing research and development investments. While theoretical perspectives principal–principal conflicts generally assum...