Control flow is often key problem in current web applications. For example, using the back button gives a POSTDATA error, using multiple windows books the wrong hotel, and sending...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
— We consider the control of impulsive systems with jumps triggered by a renewal process, that is, the intervals between jumps are independent and identically distributed. The co...
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
In networked control systems the controller of a physicallydistributed plant is implemented as a collection of tightlyinteracting, concurrent processes running on a distributed ex...
Alessandro Pinto, Luca P. Carloni, Alberto L. Sang...